Models › DeepSeek-V4 family

DeepSeek-V4-Pro-0813

deepseek-ai MIT out 2 months ago

1.65T parameters (6 of 384 experts per token), text in, text out, 1M tokens of context. 22 providers serve it from $0.12 per million input tokens.

Verified 2026-10-25 Rank #69 in LLMs · score 104.4 method v1 Sources 5 Downloads 30d 151k · #271 of 619 tracked

Can I run it?990GB at INT4Estimateneeds a multi-GPU nodemethod
What does it cost?$0.12/1M incheapest of 22Relacefp42026-10-24
Can I use it?MITPermissivelicence file2026-10-24
Do people use it?151kdownloads, 30 days#271 of 619 we track · top 44%+3 likes, downloads −2% this week899 likesHugging Face2026-10-24

Worth reading

Picked by rule from 39 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Most discussed · 1,041 HN pts

DeepSeek V4 Pro 0813

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model released on Aug 12, 2026 with a context window of 1.0M.

openrouter.ai 2026-08-12 1,041 HN pts · 453 comments 534 words

25 best of 39 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 · official
  2. ArticleDeepSeek-V4-Flash Updateapi-docs.deepseek.com · 2026-07-31 · official
  3. ArticleShow HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flashcactuscompute.com · 2026-09-18
  4. ArticleDeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysisartificialanalysis.ai · 2026-07-31
  5. ArticleDeepSeek V4 Flash 0731arcprize.org · 2026-08-07
  6. CodeDeepSeek V4 Flash on a Single AMD MI300Xgithub.com · 2026-08-04
  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 · 397 HN pts
  9. ArticleDeepSeek V4 – almost on the frontiersimonwillison.net · 2026-05-01 · 677 HN pts
  10. ArticleShow HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent spaceblog.n.ichol.ai · 2026-08-09 · 30 HN pts
  11. CodeDeepClaude – Claude Code agent loop with DeepSeek V4 Progithub.com · 2026-05-03 · 678 HN pts
  12. ArticleDeepSeek V4 Pro at 75% off until 31 Mayapi-docs.deepseek.com · 2026-05-06 · 87 HN pts · official
  13. ArticleDeepSeek V4 Flash 0731: 82.7% on Terminal-Bench 2.1 with a public harnessantigma.ai · 2026-08-09
  14. ArticleDeepSeek V4 Peak Valley Pricing Changekucoin.com · 2026-06-29 · 54 HN pts
  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 Pro 0813: Intelligence, Performance and Price Analysisartificialanalysis.ai · 2026-08-13
  19. ArticleDeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Mileslmsys.org · 2026-04-25
  20. ArticleDeepSeek V4: The Open-Source Model Frontier Labs Fearedhelloai.com · 2026-05-15
  21. ArticleDeepSeek V4 Pro at 5% the cost of Claude – what it takes to close the gaphowardchen.substack.com · 2026-06-16
  22. CodeDeepSeek-V4-Pro-0813 outperforming Fablegithub.com · 2026-08-18

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 14×

22 providers with a live price, from $0.12 to $1.65 per million input tokens; the median is $1.07. One dot per provider, cheapest in teal.

$0.010$0.10$1.00$10.00Relace: $0.12 in / $8.00 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Baidu: $0.13 in / $0.40 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Wafer: $0.25 in / $5.00 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Ionstream: $0.37 in / $2.93 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Sail Research: $0.45 in / $0.80 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Alibaba: $0.58 in / $1.74 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813StreamLake: $0.66 in / $1.98 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813DeepSeek: $0.66 in / $1.98 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Phala: $0.96 in / $2.88 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Novita: $0.99 in / $2.97 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Pro-0813?expand[]=inferenceProviderMappingGMICloud: $1.06 in / $3.17 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813DekaLLM: $1.08 in / $3.80 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813DeepInfra: $1.30 in / $2.60 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Pro-0813?expand[]=inferenceProviderMappingCoreWeave: $1.31 in / $3.96 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Together AI: $1.32 in / $3.96 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Pro-0813?expand[]=inferenceProviderMappingBaseten: $1.32 in / $3.96 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Pro-0813?expand[]=inferenceProviderMappingParasail: $1.32 in / $3.96 out per 1M · observed 2026-10-24 · https://docs.parasail.io/parasail-docs/billing/pricingAtlasCloud: $1.32 in / $3.96 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813+3Venice: $1.65 in / $4.95 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813cheapest $0.12median $1.07
$0.010$0.10$1.00$10.00Relace: $0.12 in / $8.00 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Baidu: $0.13 in / $0.40 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Wafer: $0.25 in / $5.00 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Ionstream: $0.37 in / $2.93 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Sail Research: $0.45 in / $0.80 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Alibaba: $0.58 in / $1.74 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813StreamLake: $0.66 in / $1.98 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813DeepSeek: $0.66 in / $1.98 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Phala: $0.96 in / $2.88 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Novita: $0.99 in / $2.97 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Pro-0813?expand[]=inferenceProviderMappingGMICloud: $1.06 in / $3.17 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813DekaLLM: $1.08 in / $3.80 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813DeepInfra: $1.30 in / $2.60 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Pro-0813?expand[]=inferenceProviderMappingCoreWeave: $1.31 in / $3.96 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813Together AI: $1.32 in / $3.96 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Pro-0813?expand[]=inferenceProviderMappingBaseten: $1.32 in / $3.96 out per 1M · observed 2026-10-25 · https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Pro-0813?expand[]=inferenceProviderMappingParasail: $1.32 in / $3.96 out per 1M · observed 2026-10-24 · https://docs.parasail.io/parasail-docs/billing/pricingAtlasCloud: $1.32 in / $3.96 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813+3Venice: $1.65 in / $4.95 out per 1M · observed 2026-10-24 · https://openrouter.ai/deepseek/deepseek-v4-pro-0813cheapest $0.12 · median $1.07 (white tick)
#Cheapest 5In /1MOut /1MContextQuantSeen
1 Relace $0.12 $8.00 1M fp4 Oct 24
2 Baidu $0.13 $0.40 1M fp8 Oct 24
3 Wafer $0.25 $5.00 1M mxfp4 Oct 24
4 Ionstream $0.37 $2.93 1M unknown Oct 24
5 Sail Research $0.45 $0.80 1M fp4 Oct 24

All 22 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 (22 API providers); 12 quantized builds for local use.

  • As a service22Alibaba, AtlasCloud, Baidu, Baseten +18
  • On own hardware12quantized builds
  • Built on11 fine-tunes · 0 adapters · 0 merges
  • In apps17Hugging Face Spaces

Top Spaces running it: Bit-Trading-Company/ASE-GLM ♥ 2 · mikedorian369/deepseek-v4-pro-0813-showcase ♥ 1 · adamm-hf/P-NP ♥ 1 · rahulthespy/deepseek-v4-pro-0813-demo ♥ 1

Will it fit?

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

Too big for one 8×80 GB node at any precision

About 990 GB at INT4, 1.98 TB at FP8, 3.96 TB 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 990 GB of weights (estimate; KV cache and activations extra)INT4990 GBFP8: about 1.98 TB of weights (estimate; KV cache and activations extra)FP81.98 TBBF16: about 3.96 TB of weights (estimate; KV cache and activations extra)BF163.96 TB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 990 GB of weights (estimate; KV cache and activations extra)INT4990 GBFP8: about 1.98 TB of weights (estimate; KV cache and activations extra)FP81.98 TBBF16: about 3.96 TB of weights (estimate; KV cache and activations extra)BF163.96 TB

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

Day-one receipts

Claim-matched tests, graded by code. Receipts, not a score.

Speed run● pass
{
  "providers": [
    {
      "provider": "parasail",
      "endpoint_model": "parasail-deepseek-v4-pro-0813",
      "source_url": "https://api.parasail.io/v1/chat/completions",
      "ttft_ms_median": 1446,
      "ttft_any_ms_median": 753,
      "tokens_per_s_median": 63.3,
      "runs": [
        {
          "ttft_s": 1.446,
          "ttft_any_s": 0.753,
          "tokens_per_s": 63.3,
          "latency_s": 3.45,
          "tokens_out": 218,
          "reasoning_chars": 244,
          "finish": "stop"
        },
        {
          "ttft_s": 1.384,
          "ttft_any_s": 0.759,
          "tokens_per_s": 59.6,
          "latency_s": 3.58,
          "tokens_out": 213,
          "reasoning_chars": 244,
          "finish": "stop"
        },
        {
          "ttft_s": 1.673,
          "ttft_any_s": 0.716,
          "tokens_per_s": 66.2,
          "latency_s": 3.48,
          "tokens_out": 230,
          "reasoning_chars": 404,
          "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 Wednesday 2026-10-14 is clear (no rain expected), so I checked your calendar and found a free evening slot from 19:30–21:30. I've booked a table for 2 at Cervejaria Ramiro at 19:30.\n\nYour confirmation code is **TBL-4471**.",
  "fixture": "receipts.errand.v1"
}
calls in order · args 3/3 · confirmed · 2026-10-096.6 s

The story so far

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

What people built on it

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

13 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.

12 quantized (Hugging Face model tree)1 fine-tune (Hugging Face model tree)12 quantized1 fine-tune
12 quantized (Hugging Face model tree)1 fine-tune (Hugging Face model tree)12 quantized1 fine-tune

All variants →

Reference

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

Benchmarks

10 rows

Benchmarks 10 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (10)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 Exam25.7—model author2026-10-07
author-reported AutomationBench (Public)31.8—model author2026-10-07
author-reported Cybergym83.3—model author2026-10-07
author-reported DSBench-FullStack †71.1—model author2026-10-07
author-reported DSBench-Hard †67.2—model author2026-10-07
author-reported DeepSWE · Write code with agents62.7—model author2026-10-07
author-reported HLE (wo / w tools)42.7 / 60.0 other—model author2026-10-07
author-reported NL2Repo · Write code with agents61.5—model author2026-10-07
author-reported Terminal-Bench · Write code with agents87.9—model author2026-10-07
author-reported Toolathlon · Call tools and APIs74.1—model author2026-10-07

Use-case evidence

4 use cases

What it is good at 4 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: 2,954,820,352 · F32: 90,530,058 · F8_E4M3: 23,952,621,568 · I8: 1,623,497,637,888 · I64: 2,327,040
Size bandXXL
MoEyes
Experts384
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-Pro-0813: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)3.96 TB · Cluster (≥640 GB)
FP8 (1 byte/param)1.98 TB · Cluster (≥640 GB)
INT4 (0.5 bytes/param)990 GB · Cluster (≥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.

All variants

13 variants

Lineage

Original release (shipped quantized by the lab) Family: deepseek-ai/DeepSeek-V4 13 derivatives on the Hub

quantized: 12finetune: 1

Top variants (13 shown, ranked by downloads)

Relation
Quant
13 rows
Variant Relation Quant Params Band License Author Likes Downloads
unsloth/DeepSeek-V4-Pro-0813-GGUF quantized GGUF — — mit unsloth 67 296.6k
6block/DeepSeek-V4-Pro-0813-GGUF quantized GGUF — — mit 6block 2 18.3k
nvidia/DeepSeek-V4-Pro-0813-NVFP4 quantized NVFP4 1.65T XXL mit nvidia 20 4.8k
qtum/DeepSeek-V4-Pro-0813-GGUF quantized GGUF — — mit qtum 1 3.4k
nvidia/DeepSeek-V4-Pro-0813-nvfp4-DSpark quantized nvfp4 1.65T XXL mit nvidia 9 2.4k
unsloth/DeepSeek-V4-Pro-0813 quantized — 1.65T XXL mit unsloth 5 1.7k
ryant0000/DeepSeek-V4-Pro-0813-gguf quantized gguf — — mit ryant0000 0 1.6k
pokey2025/dspark-DeepSeek-V4-Pro-0813.gguf quantized gguf — — mit pokey2025 0 742
DevQuasar/deepseek-ai.DeepSeek-V4-Pro-0813-GGUF quantized GGUF — — — DevQuasar 2 473
wrldsuksgo2mars/DeepSeek-V4-Pro-0813-EXL3-K2-calibrated-v1 quantized EXL3 231B XXL mit wrldsuksgo2mars 0 550
bullerwins/DeepSeek-V4-Pro-0813-exl3-2.04bpw quantized exl3 217B XXL mit bullerwins 2 302
AxionML/DeepSeek-V4-Pro-0813-NVFP4 quantized NVFP4 1.65T XXL mit AxionML 0 380
guruswami-ai/deepseek-v4-pro-0813-mlx-tp4-recipe finetune mlx — — mit guruswami-ai 2 0

Repository changelog

8 commits

Repository changelog 8 commits

DateCommitSHA
2026-08-13 Update vLLM recipe link (#8) 72e1d32
2026-08-13 Add files using upload-large-folder tool a2f2780
2026-08-13 Add files using upload-large-folder tool 812a554
2026-08-13 Update config.json 09d796d
2026-08-13 Release DeepSeek-V4-Pro-0813 3c6b304
2026-08-13 Add files using upload-large-folder tool adb0001
2026-08-13 Add files using upload-large-folder tool b689b73
2026-08-13 initial commit 641004c

All providers

22 providers · 22 endpoints

Where to run 22 providers · 22 endpoints

Hosted endpoints observed for DeepSeek-V4-Pro-0813, 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: $0.12/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Relace
openrouter
deepseek/deepseek-v4-pro-0813 1M fp4 $0.12 $8.00 — — yes live 2026-10-24
Baidu
openrouter
deepseek/deepseek-v4-pro-0813 1M fp8 $0.13 $0.40 — — yes live 2026-10-24
Wafer
openrouter
deepseek/deepseek-v4-pro-0813 1M mxfp4 $0.25 $5.00 — — yes live 2026-10-24
Ionstream
openrouter
deepseek/deepseek-v4-pro-0813 1M unknown $0.37 $2.93 — — yes live 2026-10-24
Sail Research
openrouter
deepseek/deepseek-v4-pro-0813 1M fp4 $0.45 $0.80 — — yes live 2026-10-24
Alibaba
openrouter
deepseek/deepseek-v4-pro-0813 977K unknown $0.58 $1.74 — — yes live 2026-10-24
StreamLake
openrouter
deepseek/deepseek-v4-pro-0813 1000K unknown $0.66 $1.98 — — yes live 2026-10-24
DeepSeek
openrouter
deepseek/deepseek-v4-pro-0813 1M unknown $0.66 $1.98 — — yes live 2026-10-24
Phala
openrouter
deepseek/deepseek-v4-pro-0813 1M unknown $0.96 $2.88 — — yes live 2026-10-24
Novita
hf, openrouter
deepseek/deepseek-v4-pro-0813 1M fp8 $0.99 $2.97 48.9 1284 ms yes live 2026-10-25
GMICloud
openrouter
deepseek/deepseek-v4-pro-0813 1024K fp8 $1.06 $3.17 — — yes live 2026-10-24
DekaLLM
openrouter
deepseek/deepseek-v4-pro-0813 1M unknown $1.08 $3.80 — — yes live 2026-10-24
DeepInfra
hf, deepinfra, openrouter
deepseek-ai/DeepSeek-V4-Pro-0813 1M fp8 $1.30 $2.60 83.4 471 ms yes live 2026-10-25
CoreWeave
openrouter
deepseek/deepseek-v4-pro-0813 1M fp8 $1.31 $3.96 — — yes live 2026-10-24
Together AI
hf, openrouter
deepseek-ai/DeepSeek-V4-Pro-0813 1M unknown $1.32 $3.96 119.2 660 ms yes live 2026-10-25
Baseten
hf
deepseek-ai/DeepSeek-V4-Pro-0813 1M — $1.32 $3.96 103.2 417 ms yes live 2026-10-25
Parasail
parasail, openrouter
parasail-deepseek-v4-pro-0813 1M fp8 $1.32 $3.96 — — yes serverless 2026-10-24
AtlasCloud
openrouter
deepseek/deepseek-v4-pro-0813 1M fp8 $1.32 $3.96 — — yes live 2026-10-24
DigitalOcean
openrouter
deepseek/deepseek-v4-pro-0813 1M unknown $1.32 $3.96 — — yes live 2026-10-24
SiliconFlow
openrouter
deepseek/deepseek-v4-pro-0813 1M fp8 $1.32 $3.96 — — yes live 2026-10-24
Cloudflare
openrouter
deepseek/deepseek-v4-pro-0813 1M unknown $1.32 $3.96 — — yes live 2026-10-24
Venice
openrouter
deepseek/deepseek-v4-pro-0813 977K unknown $1.65 $4.95 — — yes live 2026-10-24

Articles and coverage

39 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.

Official4

api-docs.deepseek.com2026-08-12officialauthorityHN 67 pts · 10 comments387 words
api-docs.deepseek.com2026-08-12officialauthorityHN 79 pts · 6 comments1,388 words
api-docs.deepseek.com2026-04-24officialauthorityHN front pageabout the DeepSeek V4 familyHN 2,091 pts · 1,607 comments326 words
api-docs.deepseek.com2026-05-06officialauthorityabout the DeepSeek V4 familyHN 87 pts · 86 comments

Analysis6

openrouter.ai2026-08-12authorityHN front pageHN 1,041 pts · 453 comments534 words
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model released on Aug 12, 2026 with a context window of 1.0M. The model achieves 125tok/s throughput and 0.54s latency, ranking as the P50 best across providers for speed.generated, cited
runtimewire.com2026-06-08HN front pageabout the DeepSeek V4 familyHN 397 pts · 225 comments
simonwillison.net2026-05-01authorityHN front pageabout the DeepSeek V4 familyHN 677 pts · 398 comments
blog.n.ichol.ai2026-08-09about the DeepSeek V4 familyHN 30 pts · 24 comments
github.com2026-05-03authorityHN front pageabout the DeepSeek V4 familyHN 678 pts · 281 comments
kucoin.com2026-06-29about the DeepSeek V4 familyHN 54 pts · 33 comments
All coverage tracked for this model (39) — append-only, nothing is ever removed
TitleSourcePublishedFirst seenSignals
DeepSeek V4 Pro 0813 — The Quiet GA and What It Actually Changesfloatboat.ai—2026-10-07exa
DeepSeek V4 Pro: GA, Pricing & Benchmarks | 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-Pro 0813 Explained: The Hybrid Attention Architecture Behind Its Quiet GA Launchmiraflow.ai2026-08-262026-10-07exa
DeepSeek-v4-flash-vision-expapi-docs.deepseek.com official2026-08-212026-10-07hn
Evaluating DeepSeek V4 Pro 0813 on Hack the Box Challengestheaq.blog2026-08-202026-10-07hn
DeepSeek V4 Pro 0813: What the GA Release Changes | Volaneavolanea.com2026-08-202026-10-07exa
DeepSeek-V4-Pro-0813 outperforming Fablegithub.com2026-08-182026-10-07hn
DeepSeek V4 Pro 0813: pricing, benchmarks, Mac reality checkai-on-mac.com2026-08-182026-10-07exa
DeepSWE August 13 Update with Grok 5.6 and DeepSeek v4 Pro 0813deepswe.datacurve.ai2026-08-132026-10-07hn
DeepSeek V4 Pro 0813: Intelligence, Performance and Price Analysisartificialanalysis.ai2026-08-132026-10-07hn
DeepSeek-V4-Pro-0813: Specs, Benchmarks & Pricing | OpenLLMStackopenllmstack.com2026-08-132026-10-07exa
DeepSeek V4-Pro 0813: 96.4% SWE-bench, 54.95 LiveBenchcodersera.com2026-08-132026-10-07exa
DeepSeek V4 Pro 0813: Architectural Analysis, Benchmarks, and $0.435/1M Economics | RankLLMsrankllms.com2026-08-132026-10-07exa
DeepSeek v4 pro 0813 releasednews.ycombinator.com2026-08-122026-10-07hn
DeepSeek V4 Pro 0813 quietly releasedapi-docs.deepseek.com official2026-08-122026-10-07hn
DeepSeek-V4-Pro-0813news.ycombinator.com2026-08-122026-10-07hn
DeepSeek V4 Pro 0813openrouter.ai2026-08-122026-10-07hn
DeepSeek-V4-Pro-0813 Publishapi-docs.deepseek.com official2026-08-122026-10-07hn
DeepSeek-V4-Pro-0813kinonn-bot.github.io2026-08-122026-10-07exa
DeepSeek V4 Pro 0813 Guide: MoE Architecture and Evals - AiSpacesaispaces.net2026-08-122026-10-07exa
Show HN: DeepSeek-V4 Latent Reasoning – moving "thinking" into latent spaceblog.n.ichol.ai2026-08-092026-10-07hn
DeepSeek V4 Flash 0731: 82.7% on Terminal-Bench 2.1 with a public harnessantigma.ai2026-08-092026-10-07hn
DeepSeek V4 Flash 0731arcprize.org2026-08-072026-10-07hn
DeepSeek V4 Flash on a Single AMD MI300Xgithub.com2026-08-042026-10-07hn
Having fun with oh my pi, DeepSeek-V4-Flash, GPT-5.6 Luna and Antigravity CLIflashblaze.xyz2026-08-022026-10-07hn
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 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 21:33 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:00 UTC · Last verified 2026-10-25

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