Models › DeepSeek-V4 family

DeepSeek-V4-Flash-0731

deepseek-ai MIT out 3 months ago

304B parameters (6 of 256 experts per token), text in, text out, 1M tokens of context. 24 providers serve it from $0.042 per million input tokens.

Verified 2026-10-25 Rank #12 in LLMs · score 129.1 method v1 Sources 5 Downloads 30d 4.3M · #34 of 619 tracked

Changed this week: 1 provider no longer listed: Together AI.2026-10-24 · Cheapest input price rose 193.1%: $0.014 → $0.042 per 1M (OpenRouter).2026-10-24 · 1 new quantized build on the Hub (202 in all).2026-10-24

Can I run it?183GB at INT4Estimateneeds a multi-GPU nodemethod
What does it cost?$0.042/1M incheapest of 22Relacefp42026-10-24
Can I use it?MITPermissivelicence file2026-10-24
Does it work?5/5probes · 122 tok/sfirst lookparasail2026-10-07
Do people use it?4.3Mdownloads, 30 days#34 of 619 we track · top 5%+3 likes, downloads +0% this week4,088 likesHugging Face2026-10-24

The ringer: four playful tests

A pelican steals a bicycle from a supermarket

as received● 4/4 on palette
SVG reply: a pelican steals a bicycle from a supermarket
Draw a pelican stealing a bicycle from a supermarket. Reply with one complete SVG document only, no prose and no code fences. Use viewBox="0 0 200 150" and a transparent background. Use only these colours for every fill and stroke: #06e0c0 #ffc298 #cd85f9 #f1f2f2.

Finish the dad joke

low reasoning✕ empty reply

Empty reply.

Finish this dad joke. Reply with the punchline only, on one line, without quotes: Why did the open-weights model cross the road?

A parasailer, in ASCII

as received● 12×20 fits 12×32
        ______
      /      \
     /        \
     \        /
      \______/
         |  |
         |  |
        /|  |\
         |  |
        / \
~~~~~ ~~~~~ ~~~~~
~~~~~~~~~~~~~~~~~~~~
Draw ASCII art of a parasailer over the sea. At most 12 lines and 32 columns. Reply with the art only: no code fences, no explanation.

Animate a bouncing ball

as received✕ 8 frames · bad grid

No playable frames in the reply.

Make a 16x16 pixel sprite animation of a ball bouncing, 8 frames. Reply with JSON only, no code fences: {"palette": {"a": "#rrggbb", ...}, "fps": <number>, "frames": [[16 strings of 16 characters], ...]}. At most 4 palette colours with single-letter keys; "." means transparent; exactly 8 frames.
1 of 4 · swipe for more

The ringer: the same four playful tests for every model, replies shown as received and checked by code. A joke, not a benchmark; never ranked.2 of 4 pass · parasail-deepseek-v4-flash-0731 on parasail · run 2026-10-09 · temperature 0 · cost $0.010 · 2026-10 thing: supermarket · all models →

Worth reading

Picked by rule from 45 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 796 HN pts
arcprize.org 2026-08-07 796 HN pts · 476 comments 5.3k words
Latest · 38 days ago

Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash

Cactus releases Needle 3, a foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers.

  • A required argument with no default and no evidence in the request is withheld rather than guessed.
cactuscompute.com 2026-09-18 236 HN pts · 93 comments 1.5k words about the DeepSeek V4 family family

25 best of 45 tracked

The 3 picks above, plus these 22. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. ArticleDeepSeek-v4-flash-vision-expapi-docs.deepseek.com · 2026-08-21 · 498 HN pts · official
  2. ArticleDeepSeek V4 Pro 0813openrouter.ai · 2026-08-12
  3. ArticleDeepSeek-V4-Flash Updateapi-docs.deepseek.com · 2026-07-31 · 745 HN pts · official
  4. CodeDeepSeek V4 Flash on a Single AMD MI300Xgithub.com · 2026-08-04 · 382 HN pts
  5. ArticleDeepSeek-V4-Pro-0813 Publishapi-docs.deepseek.com · 2026-08-12 · official
  6. ArticleDeepSeek V4 Pro 0813 quietly releasedapi-docs.deepseek.com · 2026-08-12 · official
  7. ArticleDeepSeek v4api-docs.deepseek.com · 2026-04-24 · 2,091 HN pts · official
  8. ArticleDeepSeek V4 Pro beats GPT-5.5 Pro on precisionruntimewire.com · 2026-06-08
  9. ArticleDeepSeek V4 – almost on the frontiersimonwillison.net · 2026-05-01 · 677 HN pts
  10. ArticleDeepSeek-V4-Flash-0731-Latent-Reasoning. A model thinking in latent spaceblog.n.ichol.ai · 2026-08-06 · 30 HN pts
  11. CodeDeepClaude – Claude Code agent loop with DeepSeek V4 Progithub.com · 2026-05-03
  12. ArticleDeepSeek V4 Pro at 75% off until 31 Mayapi-docs.deepseek.com · 2026-05-06 · official
  13. ArticleDeepSeek V4 Flash 0731: 82.7% on Terminal-Bench 2.1 with a public harnessantigma.ai · 2026-08-09 · 37 HN pts
  14. ArticleDeepSeek V4 Peak Valley Pricing Changekucoin.com · 2026-06-29
  15. ArticleHaving fun with oh my pi, DeepSeek-V4-Flash, GPT-5.6 Luna and Antigravity CLIflashblaze.xyz · 2026-08-02
  16. ArticleDeepSeek-V4-Flash means LLM steering is interesting againseangoedecke.com · 2026-05-16
  17. ArticleBringing Up DeepSeek-V4-Flash on AMD MI300Xfergusfinn.com · 2026-06-02
  18. ArticleDeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Mileslmsys.org · 2026-04-25
  19. ArticleDeepSeek V4: The Open-Source Model Frontier Labs Fearedhelloai.com · 2026-05-15
  20. ArticleDeepSeek V4 Pro at 5% the cost of Claude – what it takes to close the gaphowardchen.substack.com · 2026-06-16
  21. ArticleUnsloth: DeepSeek V4 Flash 0731unsloth.ai · 2026-07-31
  22. CodeDeepSeek-v4-flash-0731-spark-sparkinfer: DeepSeek V4 Flash on one DGX Sparkgithub.com · 2026-09-10

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

Prices for the same weights vary 10×

22 providers with a live price, from $0.042 to $0.44 per million input tokens; the median is $0.14. One dot per provider, cheapest in teal.

$0.010$0.10$1.00$10.00Relace: $0.042 in / $0.18 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Baidu: $0.044 in / $0.13 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Reka: $0.050 in / $0.53 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731DeepInfra: $0.060 in / $0.18 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Flash-0731?expand[]=inferenceProviderMappingStreamLake: $0.088 in / $0.26 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Inceptron: $0.11 in / $0.37 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731DigitalOcean: $0.12 in / $0.24 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Baseten: $0.13 in / $0.26 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Flash-0731?expand[]=inferenceProviderMappingWafer: $0.13 in / $0.23 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Venice: $0.13 in / $0.26 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731CoreWeave: $0.13 in / $0.28 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Parasail: $0.14 in / $0.28 out per 1M · observed 2026-10-24 · https://docs.parasail.io/parasail-docs/billing/pricingCohere: $0.14 in / $0.28 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Sail Research: $0.15 in / $0.15 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Alibaba: $0.18 in / $0.53 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Mancer 2: $0.20 in / $0.60 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731SiliconFlow: $0.22 in / $0.66 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731GMICloud: $0.29 in / $0.86 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Phala: $0.31 in / $0.92 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Novita: $0.41 in / $1.23 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Flash-0731?expand[]=inferenceProviderMappingAtlasCloud: $0.44 in / $1.32 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Cloudflare: $0.44 in / $1.32 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731cheapest $0.042median $0.14
$0.010$0.10$1.00$10.00Relace: $0.042 in / $0.18 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Baidu: $0.044 in / $0.13 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Reka: $0.050 in / $0.53 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731DeepInfra: $0.060 in / $0.18 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Flash-0731?expand[]=inferenceProviderMappingStreamLake: $0.088 in / $0.26 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Inceptron: $0.11 in / $0.37 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731DigitalOcean: $0.12 in / $0.24 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Baseten: $0.13 in / $0.26 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Flash-0731?expand[]=inferenceProviderMappingWafer: $0.13 in / $0.23 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Venice: $0.13 in / $0.26 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731CoreWeave: $0.13 in / $0.28 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Parasail: $0.14 in / $0.28 out per 1M · observed 2026-10-24 · https://docs.parasail.io/parasail-docs/billing/pricingCohere: $0.14 in / $0.28 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Sail Research: $0.15 in / $0.15 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Alibaba: $0.18 in / $0.53 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Mancer 2: $0.20 in / $0.60 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731SiliconFlow: $0.22 in / $0.66 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731GMICloud: $0.29 in / $0.86 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Phala: $0.31 in / $0.92 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Novita: $0.41 in / $1.23 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Flash-0731?expand[]=inferenceProviderMappingAtlasCloud: $0.44 in / $1.32 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731Cloudflare: $0.44 in / $1.32 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-flash-0731cheapest $0.042 · median $0.14 (white tick)
#Cheapest 5In /1MOut /1MContextQuantSeen
1 Relace $0.042 $0.18 1M fp4 Oct 24
2 Baidu $0.044 $0.13 1M fp8 Oct 24
3 Reka $0.050 $0.53 256K unknown Oct 24
4 DeepInfra $0.060 $0.18 1M fp8 Oct 25
5 StreamLake $0.088 $0.26 1000K fp8 Oct 24

All 24 providers →

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

Widely served (24 API providers); heavily run locally (202 quantized builds).

  • As a service24Alibaba, AtlasCloud, Baidu, Baseten +20
  • On own hardware202quantized builds
  • Built on4638 fine-tunes · 7 adapters · 1 merges
  • In apps71Hugging Face Spaces

Top Spaces running it: MiniMaxAI/MiniMax-Music3 ♥ 368 · embedl/hfviewer ♥ 181 · victor/DeepSeek-V4-Flash-0731-free-endpoint ♥ 88 · Svngoku/jupyter2agent ♥ 8

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Needs an 8×80 GB node even at INT4

About 183 GB at INT4, 365 GB at FP8, 730 GB at BF16: weights only, so leave room for the KV cache. Every expert must be resident, so total parameters count.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 183 GB of weights (estimate; KV cache and activations extra)INT4183 GBFP8: about 365 GB of weights (estimate; KV cache and activations extra)FP8365 GBBF16: about 730 GB of weights (estimate; KV cache and activations extra)BF16730 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 183 GB of weights (estimate; KV cache and activations extra)INT4183 GBFP8: about 365 GB of weights (estimate; KV cache and activations extra)FP8365 GBBF16: about 730 GB of weights (estimate; KV cache and activations extra)BF16730 GB

Estimate params × bytes per param × 1.2 · how we estimate

Day-one receipts

The probe replies as received on 2026-10-07 from parasail, graded by code. Receipts, not a score.

Write a function● pass
def is_balanced(s: str) -> bool:
    stack = []
    pairs = {')': '(', ']': '[', '}': '{'}
    for ch in s:
        if ch in '([{':
            stack.append(ch)
        elif ch in ')]}':
            if not stack or stack.pop() != pairs[ch]:
                return False
    return not stack
Bracket-balance function passes 9 hidden asserts1.4 s
Needle at 128K● pass
amber-falcon-7731
Needle recall at ~128k input tokens (needle at 37%)9.6 s
Tool call● pass
{"city": "Lisbon", "unit": "c"}
Emits a correct function call (get_weather, city=Lisbon)0.8 s
Strict JSON● pass
{"name": "Foo-9B-Instruct", "license": "Apache-2.0", "parameters_b": 9.2, "context_tokens": 131072, "languages": ["English", "French", "German", "Japanese"]}
Structured extraction to strict JSON (5 fields)2.5 s
Speed run● pass
{
  "providers": [
    {
      "provider": "parasail",
      "endpoint_model": "parasail-deepseek-v4-flash-0731",
      "source_url": "https://api.parasail.io/v1/chat/completions",
      "ttft_ms_median": 2918,
      "ttft_any_ms_median": 1803,
      "tokens_per_s_median": 81,
      "runs": [
        {
          "ttft_s": 2.644,
          "ttft_any_s": 1.805,
          "tokens_per_s": 36.4,
          "latency_s": 8.78,
          "tokens_out": 319,
          "reasoning_chars": 583,
          "finish": "stop"
        },
        {
          "ttft_s": 7.497,
          "ttft_any_s": 0.796,
          "tokens_per_s": 84.4,
          "latency_s": 9.13,
          "tokens_out": 770,
          "reasoning_chars": 2868,
          "finish": "stop"
        },
        {
          "ttft_s": 2.918,
          "ttft_any_s": 1.803,
          "tokens_per_s": 81,
          "latency_s": 3.9,
          "tokens_out": 316,
          "reasoning_chars": 607,
          "finish": "stop"
        }
      ]
    }
  ],
  "note": "Single client, wall clock; tok/s counts every output token including hidden reasoning."
}
Three-tool errand● pass
{
  "calls": [
    {
      "name": "get_weather",
      "args": {
        "city": "Lisbon",
        "date": "2026-10-14"
      }
    },
    {
      "name": "check_calendar",
      "args": {
        "date": "2026-10-14"
      }
    },
    {
      "name": "book_table",
      "args": {
        "restaurant": "Cervejaria Ramiro",
        "date": "2026-10-14",
        "time": "19:30",
        "party_size": 2
      }
    }
  ],
  "checks": {
    "get_weather": true,
    "check_calendar": true,
    "book_table": true
  },
  "final": "The weather in Lisbon on 2026-10-14 is clear with no rain (5% chance), so I checked your calendar. The free evening slot was 19:30–21:30, and I booked a table for 2 at Cervejaria Ramiro at 19:30.\n\n**Confirmation code: TBL-4471**",
  "fixture": "receipts.errand.v1"
}
calls in order · args 3/3 · confirmed · 2026-10-097.6 s

Every probe, with timings and cost →

The story so far

Weights, every dated article, and repo commits on one rail.

Most coverage came in the first two weeks

Teal is the weights (2026-07-31), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.

What people built on it

248 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

248 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

202 quantized (Hugging Face model tree)38 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)7 adapters (Hugging Face model tree)202 quantized38 fine-tunes1 merge7 adapters
202 quantized (Hugging Face model tree)38 fine-tunes (Hugging Face model tree)1 merge (Hugging Face model tree)7 adapters (Hugging Face model tree)202 quantized38 fine-tunes1 merge7 adapters

All variants →

Reference

Everything else, folded: the full tables, every source.

Benchmarks

9 rows

Benchmarks 9 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (9)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported Agents' Last Exam25.2—model author2026-10-07
author-reported AutomationBench Public25.1—model author2026-10-07
author-reported Cybergym76.7—model author2026-10-07
author-reported DSBench-FullStack †68.7—model author2026-10-07
author-reported DSBench-Hard †59.6—model author2026-10-07
author-reported DeepSWE · Write code with agents54.4—model author2026-10-07
author-reported NL2Repo · Write code with agents54.2—model author2026-10-07
author-reported Terminal-Bench · Write code with agents82.7—model author2026-10-07
author-reported Toolathlon · Call tools and APIs70.3—model author2026-10-07

Use-case evidence

3 use cases

What it is good at 3 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

22 fields

Listed in LLMs · MoE

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesDeepseekV4ForCausalLM
Model typedeepseek_v4
Dtypebfloat16
Params by dtypeBF16: 1,483,567,488 · F32: 37,741,630 · F8_E4M3: 6,304,038,912 · I8: 296,352,743,424 · I64: 2,327,040
Size bandXXL
MoEyes
Experts256
Experts per token6
Context length1,048,576 (config.json max_position_embeddings)
PapersarXiv:2606.19348
LicenseMIT (mit)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · DeepseekV4ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · DeepseekV4ForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for DeepSeek-V4-Flash-0731: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)730 GB · Cluster (≥640 GB)
FP8 (1 byte/param)365 GB · Multi-GPU node (<640 GB)
INT4 (0.5 bytes/param)183 GB · Multi-GPU node (<640 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra. MoE: all experts must be resident, so total parameters count.

First look, every probe

6 probes

First look measured

A fixed probe set run against a live API endpoint: the same questions for every model, answers graded by code, nothing judged by a model. Latencies are single-request wall clock from one client location, not a benchmark.

via parasail parasail-deepseek-v4-flash-0731 5/5 probes pass first visible token 15.3 s end-to-end 122 tok/s (median of 3)
ProbeResultLatencyReply (truncated)
Self-description info 1.7 s I am DeepSeek-V3, developed by DeepSeek (深度求索). My training data cutoff is July 2024.
Tool call pass 0.8 s {"city": "Lisbon", "unit": "c"}
Strict JSON pass 2.5 s {"name": "Foo-9B-Instruct", "license": "Apache-2.0", "parameters_b": 9.2, "context_tokens": 131072, "languages": ["English", "French", "German", "Japanese"]}
Code (hidden tests) pass 1.4 s def is_balanced(s: str) -> bool: stack = [] pairs = {')': '(', ']': '[', '}': '{'} for ch in s: if ch in '([{': stack.append(ch) elif ch in ')]}': if not stack or stack.pop() != pairs[ch]: return False return not stack
Multi-step arithmetic pass 0.7 s 16
Needle recall at 128k tokens pass 9.6 s amber-falcon-7731

Probe set firstlook.v1 · observed 2026-10-07 20:08 UTC · endpoint · provider docs · cost of this run $0.02

All variants

40 variants

Lineage

Original release (shipped quantized by the lab) Family: deepseek-ai/DeepSeek-V4 248 derivatives on the Hub

quantized: 202finetune: 38adapter: 7merge: 1

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF quantized GGUF — — mit huihui-ai 227 1.3M
unsloth/DeepSeek-V4-Flash-0731-GGUF quantized GGUF — — mit unsloth 780 738.4k
MJPansa/DeepSeek-V4-Flash-0731-NVFP4 quantized NVFP4 304B XXL mit MJPansa 18 461.6k
AtlasCloud/DeepSeek-V4-Flash-0731-FP8-DSpark quantized -FP8 304B XXL mit AtlasCloud 5 449.1k
0xSero/deepseek-v4-flash-0731-spark quantized — 60.3B XL mit 0xSero 51 386.3k
lmstudio-community/DeepSeek-V4-Flash-0731-GGUF quantized GGUF — — mit lmstudio-community 7 101k
drowzeys/keys-DeepSeekV4-Flash-GA-0731-Dspark-Abliterated-Anchored-Tensors quantized — 304B XXL other drowzeys 129 71.3k
bartowski/DeepSeek-V4-Flash-0731-GGUF quantized GGUF — — mit bartowski 41 66.9k
nvidia/DeepSeek-V4-Flash-0731-NVFP4 quantized NVFP4 304B XXL mit nvidia 55 49k
ggml-org/DeepSeek-V4-Flash-0731-GGUF quantized GGUF — — mit ggml-org 25 38.4k
apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8 finetune -FP8 304B XXL mit apetersson 38 37.5k
otheru/DeepSeek-V4-Flash-Strix-Halo-GGUF quantized GGUF — — other otheru 27 32.8k
nazeshinjite/DeepSeek-V4-Flash-0731-ds4-GGUF quantized GGUF — — mit nazeshinjite 21 32.9k
qtum/DeepSeek-V4-Flash-0731-GGUF quantized GGUF — — mit qtum 2 29.2k
Lucebox/DeepSeek-V4-Flash-0731-ROCmFP3 quantized GGUF — — mit Lucebox 27 27.9k
AtomicChat/DeepSeek-V4-Flash-0731-GGUF quantized GGUF — — mit AtomicChat 32 25.9k
cebeuq/DeepSeek-V4-Flash-0731-abliterated finetune — 306B XXL mit cebeuq 44 20.4k
TensorFold/DeepSeek-V4-Flash-0731-MXFP4-MLX quantized MXFP4 304B XXL mit TensorFold 23 21.5k
PrimeIntellect/DeepSeek-V4-Flash-0731-bf16 finetune -bf16 284B XXL mit PrimeIntellect 0 22.6k
Rednalreden/DeepSeek-V4-Flash-0731-dwarfstar-q2-gguf quantized gguf — — mit Rednalreden 15 17.7k
lovesenko/DeepSeek-V4-Flash-0731-Abliterated quantized — 304B XXL mit lovesenko 9 17.6k
mlx-community/DeepSeek-V4-Flash-0731-2.4bit-mixed quantized — 304B XXL mit mlx-community 28 16.2k
dealignai/DeepSeek-V4-Flash-0731-JANG-CRACK finetune — 284B XXL mit dealignai 33 15.4k
ox-ox/DeepSeek-V4-Flash-0731-gguf-ds4 quantized gguf — — mit ox-ox 26 14.2k
apetersson/DeepSeek-V4-Flash-0731-DS4-Quality128 quantized GGUF — — mit apetersson 5 13.1k
unsloth/DeepSeek-V4-Flash-0731 quantized — 304B XXL mit unsloth 34 11k
0xSero/DeepSeek-V4-Flash-Spark-Mini-GGUF quantized GGUF — — mit 0xSero 9 12.1k
Jundot/DeepSeek-V4-Flash-0731-oQ4e-mtp quantized — 304B XXL mit Jundot 8 12.1k
KeinNiemand/DeepSeek-V4-Flash-0731-IK_GGUF quantized GGUF — — mit KeinNiemand 8 11.8k
mlx-community/DeepSeek-V4-Flash-0731-OptiQ-2bit quantized — 304B XXL mit mlx-community 10 11.5k
0xSero/DeepSeek-V4-Flash-0731-REAP quantized — 193B XXL mit 0xSero 35 8.5k
bullerwins/DeepSeek-V4-Flash-0731-GGUF quantized GGUF — — mit bullerwins 9 9.7k
webbrain-one/DeepSeek-V4-Flash-0731-Vision-BF16 quantized -BF16 305B XXL other webbrain-one 6 8.8k
schlaflos/DeepSeek-V4-Flash-0731-antirez-ds4-GGUF quantized GGUF — — mit schlaflos 10 8k
alessandrobologna/DeepSeek-V4-Flash-0731-DSpark-Drafter-GGUF quantized GGUF — — mit alessandrobologna 3 8.3k
ddalcu/DeepSeek-V4-Flash-0731-MLX-Serve-mixed-2-3-8bit quantized MLX 324B XXL mit ddalcu 10 7.8k
True2456/DeepSeek-V4-Flash-0731-REAP37-native-MLX quantized MLX 30.6B L mit True2456 15 6.9k
squanchyzx/DeepSeek-V4-Flash-0731-HERETIC-Abliterated-FP8 quantized -FP8 305B XXL mit squanchyzx 21 6.4k
0xSero/DeepSeek-V4-Flash-Spark-GGUF quantized GGUF — — mit 0xSero 12 6.7k
chuzka/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF quantized GGUF — — mit chuzka 0 6.3k

Repository changelog

4 commits
changed in the last 7 daysProviders dropped: 2026-10-24Price moves: 2026-10-24Other: 2026-10-24all changes

Repository changelog 4 commits

DateCommitSHA
2026-08-01 add sglang cookbook to model card (#20) 7872f01
2026-07-31 Release DeepSeek-V4-Flash-0731 9e165c3
2026-07-31 Add files using upload-large-folder tool 7da4bfd
2026-07-31 initial commit a5afaad

All providers

24 providers · 24 endpoints

Where to run 24 providers · 24 endpoints

Hosted endpoints observed for DeepSeek-V4-Flash-0731, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting. Cheapest observed input price: $0.04/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Relace
openrouter
deepseek/deepseek-v4-flash-0731 1M fp4 $0.04 $0.18 — — yes live 2026-10-24
Baidu
openrouter
deepseek/deepseek-v4-flash-0731 1M fp8 $0.04 $0.13 — — yes live 2026-10-24
Reka
openrouter
deepseek/deepseek-v4-flash-0731 256K unknown $0.05 $0.53 — — yes live 2026-10-24
DeepInfra
hf, deepinfra, openrouter
deepseek-ai/DeepSeek-V4-Flash-0731 1M fp8 $0.06 $0.18 49.7 427 ms yes live 2026-10-25
StreamLake
openrouter
deepseek/deepseek-v4-flash-0731 1000K fp8 $0.09 $0.26 — — yes live 2026-10-24
Inceptron
openrouter
deepseek/deepseek-v4-flash-0731 1M fp4 $0.11 $0.37 — — yes live 2026-10-24
DigitalOcean
openrouter
deepseek/deepseek-v4-flash-0731 1M unknown $0.12 $0.24 — — yes live 2026-10-24
Baseten
hf, openrouter
deepseek-ai/DeepSeek-V4-Flash-0731 1M fp8 $0.13 $0.26 163.7 227 ms yes live 2026-10-25
Wafer
openrouter
deepseek/deepseek-v4-flash-0731 1M nvfp4 $0.13 $0.23 — — yes live 2026-10-24
Venice
openrouter
deepseek/deepseek-v4-flash-0731 977K unknown $0.13 $0.26 — — yes live 2026-10-24
CoreWeave
openrouter
deepseek/deepseek-v4-flash-0731 256K fp8 $0.13 $0.28 — — yes live 2026-10-24
Parasail
parasail, openrouter
parasail-deepseek-v4-flash-0731 1M fp8 $0.14 $0.28 — — yes serverless 2026-10-24
Cohere
openrouter
deepseek/deepseek-v4-flash-0731 1M unknown $0.14 $0.28 — — yes live 2026-10-24
Sail Research
openrouter
deepseek/deepseek-v4-flash-0731 1M fp4 $0.15 $0.15 — — yes live 2026-10-24
Alibaba
openrouter
deepseek/deepseek-v4-flash-0731 977K unknown $0.18 $0.53 — — yes live 2026-10-24
Mancer 2
openrouter
deepseek/deepseek-v4-flash-0731 1M fp8 $0.20 $0.60 — — yes live 2026-10-24
SiliconFlow
openrouter
deepseek/deepseek-v4-flash-0731 1M fp8 $0.22 $0.66 — — yes live 2026-10-24
GMICloud
openrouter
deepseek/deepseek-v4-flash-0731 1024K fp8 $0.29 $0.86 — — yes live 2026-10-24
Phala
openrouter
deepseek/deepseek-v4-flash-0731 1M unknown $0.31 $0.92 — — yes live 2026-10-24
Novita
hf, openrouter
deepseek/deepseek-v4-flash-0731 1M fp8 $0.41 $1.23 89.9 729 ms yes live 2026-10-25
AtlasCloud
openrouter
deepseek/deepseek-v4-flash-0731 1M fp4 $0.44 $1.32 — — yes live 2026-10-24
Cloudflare
openrouter
deepseek/deepseek-v4-flash-0731 1M unknown $0.44 $1.32 — — yes live 2026-10-24
Featherless
hf
deepseek-ai/DeepSeek-V4-Flash-0731 — — — — — — — live 2026-10-25
Scaleway
hf
deepseek-v4-flash-0731 — — — — 151.4 606 ms yes live 2026-10-25

Articles and coverage

45 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.

Official3

api-docs.deepseek.com2026-08-21officialauthorityHN front pageabout the DeepSeek V4 familyHN 498 pts · 154 comments1,275 words
The deepseek-flash model accepts images alongside text for tasks like describing pictures or analyzing charts. Inline images and external URLs count toward the 48 MiB request body limit and are capped at 32 MiB per image, while Files API references support up to 64 MiB. Every image is automatically resized to an upper bound of 1024 tokens regardless of original dimensions.written, reviewed, cited
  • The model detects image format from file content rather than the filename or declared MIME type.
  • Requests containing 15 or more images reduce the maximum image dimension to 4096 pixels per side.
  • Images in system or assistant messages are rejected with a 400 error instead of being processed.
api-docs.deepseek.com2026-07-31officialauthorityHN front pageabout the DeepSeek V4 familyHN 745 pts · 347 comments387 words
The DeepSeek API supports OpenAI and Anthropic SDKs via compatible configurations. The deepseek-flash model is now served by DeepSeek-V4.1-Flash-1017, while legacy names deepseek-v4-flash and deepseek-v4-flash-vision-exp remain accepted but are retired and billed at the Flash price. Users apply for an API key to access these models.written, reviewed, cited
api-docs.deepseek.com2026-04-24officialauthorityHN front pageabout the DeepSeek V4 familyHN 2,091 pts · 1,607 comments326 words

Analysis7

cactuscompute.com2026-09-18HN front pageabout the DeepSeek V4 familyHN 236 pts · 93 comments1,466 words
Cactus releases Needle 3, a foundation model for mobile, wearables, robots, smart home, automotive and microcontrollers. The model uses intelligence laddering to produce 9 to 29 MB CQ2-bit binaries with 400-4k tokens/s decode speed on a Raspberry Pi 5. Needle 3 specializes in local tool calling and structured extraction, matching DeepSeek V4 Flash when tuned on downstream tasks for one epoch.written, reviewed, cited
  • A required argument with no default and no evidence in the request is withheld rather than guessed.
artificialanalysis.ai2026-07-31authorityHN front pageHN 594 pts · 312 comments1,118 words
DeepSeek V4 Flash 0731 (Max) is a 284B parameter open-weight model released on July 31, 2026, under the MIT license. It scores 34 on the Artificial Analysis Intelligence Index while costing $0.14 per 1M input tokens and utilizing only 13B active parameters during inference. The model supports a 1M token context window and outputs text at 149.8 tokens per second.written, reviewed, cited
  • This model is deprecated and benchmarking continues only for the default 10k input token workload.
  • The model is notably fast but generates output that is very verbose compared to the median.
  • For a blended rate using a 7:2:1 cache hit/input/output ratio, the cost is $0.07 per 1M tokens.
arcprize.org2026-08-07HN front pageHN 796 pts · 476 comments5,340 words
github.com2026-08-04authorityHN front pageabout the DeepSeek V4 familyHN 382 pts · 109 comments2,531 words
simonwillison.net2026-05-01authorityHN front pageabout the DeepSeek V4 familyHN 677 pts · 398 comments
blog.n.ichol.ai2026-08-06HN 30 pts · 24 comments
antigma.ai2026-08-09HN 37 pts · 6 comments
All coverage tracked for this model (45) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
DeepSeek V4 Flash model release review | Vorp Labsvorplabs.com—2026-10-07exa
What Is DeepSeek V4 Flash? The 0731 Guide | DeepSeek V4 Guidedeepseekv4guide.org—2026-10-07exa
Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flashcactuscompute.com2026-09-182026-10-07hn
DeepSeek-v4-flash-0731-spark-sparkinfer: DeepSeek V4 Flash on one DGX Sparkgithub.com2026-09-102026-10-07hn
DeepSeek-v4-flash-vision-expapi-docs.deepseek.com official2026-08-212026-10-07hn
DeepSeek V4 Flash 0731 latency numbers from nine providersoskrim.github.io2026-08-142026-10-07hn
Show HN: Stream – Unlimited DeepSeek v4 Flash 0731camelai.com2026-08-122026-10-07hn
DeepSeek V4 Pro 0813 quietly releasedapi-docs.deepseek.com official2026-08-122026-10-07hn
DeepSeek V4 Pro 0813openrouter.ai2026-08-122026-10-07hn
DeepSeek-V4-Pro-0813 Publishapi-docs.deepseek.com official2026-08-122026-10-07hn
We got DSV4 Flash 0731 to 32.7 tok/s on AMD Strix Halolucebox.com2026-08-112026-10-07hn
DeepSeekV4SSD: DeepSeek-V4-Flash-0731 on an M-series Macgithub.com2026-08-102026-10-07hn
DeepSeek V4 Flash 0731: 82.7% on Terminal-Bench 2.1 with a public harnessantigma.ai2026-08-092026-10-07hn
Show HN: Dsv4 Codex Proxy – Make DeepSeek V4 Flash 0731 "Codex-Native"github.com2026-08-082026-10-07hn
DeepSeek V4 Flash 0731arcprize.org2026-08-072026-10-07hn
DeepSeek V4 Flash 0731: Is It Cheaper to Run It at Home or Pay per Token?grigio.org2026-08-072026-10-07hn
DeepSeek-V4-Flash-0731-Latent-Reasoning. A model thinking in latent spaceblog.n.ichol.ai2026-08-062026-10-07hn
DeepSeek V4-Flash-0731 is 12 pts more censored than preview (selectively)ctgt.ai2026-08-052026-10-07hn
DeepSeek V4 Flash 0731 Review: Benchmarks, Price 2026 — CodeOxicodeoxi.com2026-08-052026-10-07exa
DeepSeek V4 Flash 0731 (Q4) 1,328 tok/s prefill 29 tok/s decode one RTX PRO 6000reddit.com2026-08-042026-10-07hn
DeepSeek V4 Flash on a Single AMD MI300Xgithub.com2026-08-042026-10-07hn
DeepSeek V4 Flash review: one model, two personalities | eesel AIeesel.ai2026-08-042026-10-07exa
Having fun with oh my pi, DeepSeek-V4-Flash, GPT-5.6 Luna and Antigravity CLIflashblaze.xyz2026-08-022026-10-07hn
Ask HN: Anyone got DeepSeek-v4-flash-0731 running using antirez/ds4?news.ycombinator.com2026-08-012026-10-07hn
DeepSeek-V4-Flash 0731: MIT-Licensed 284B Agent Model That Beats Its Own Pro | SingularityByte AI Magazinesingularitybyte.com2026-08-012026-10-07exa
DeepSeek V4 Flash 0731: Benchmarks, Pricing & Review (August 2026) - AIToolsReviewaitoolsreview.co.uk2026-08-012026-10-07exa
$0.26 DeepSeek V4 Flash 0731 ties $5.01 GPT-5.6 run on Agentic Memory Benchmarkatmbench.github.io2026-07-312026-10-07hn
Unsloth: DeepSeek V4 Flash 0731unsloth.ai2026-07-312026-10-07hn
Just tried DeepSeek V4 Flash 0731 (she got her brain updated again)reddit.com2026-07-312026-10-07hn
DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysisartificialanalysis.ai2026-07-312026-10-07hn
DeepSeek-V4-Flash Updateapi-docs.deepseek.com official2026-07-312026-10-07hn
DeepSeek V4-Flash: The Architecture, the Benchmarks, and Why…monkeycode.cc2026-07-312026-10-07exa
DeepSeek V4 Flash Deep-Dive Review (July 2026): Same Weights, One Retraining Pass, Agent Scores Jump 7x - EggStriker.AI Blogeggstriker.com2026-07-312026-10-07exa
DeepSeek V4 Flash 0731: The Agent Benchmarks Behind Today's Hype - DEV Communitydev.to2026-07-312026-10-07exa
DeepSeek V4 Peak Valley Pricing Changekucoin.com2026-06-292026-10-07hn
DeepSeek V4 Pro at 5% the cost of Claude – what it takes to close the gaphowardchen.substack.com2026-06-162026-10-07hn
DeepSeek V4 Pro beats GPT-5.5 Pro on precisionruntimewire.com2026-06-082026-10-07hn
Bringing Up DeepSeek-V4-Flash on AMD MI300Xfergusfinn.com2026-06-022026-10-07hn
DeepSeek-V4-Flash means LLM steering is interesting againseangoedecke.com2026-05-162026-10-07hn
DeepSeek V4: The Open-Source Model Frontier Labs Fearedhelloai.com2026-05-152026-10-07hn
DeepSeek V4 Pro at 75% off until 31 Mayapi-docs.deepseek.com official2026-05-062026-10-07hn
DeepClaude – Claude Code agent loop with DeepSeek V4 Progithub.com2026-05-032026-10-07hn
DeepSeek V4 – almost on the frontiersimonwillison.net2026-05-012026-10-07hn
DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Mileslmsys.org2026-04-252026-10-07hn
DeepSeek v4api-docs.deepseek.com official2026-04-242026-10-07hn

Papers

1 paper

Papers 1

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

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Sources

5 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:31 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 14:59 UTC · Last verified 2026-10-25

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