Models › Hy3 family

tencent Other out 6 months ago

299B parameters (8 of 192 experts per token), text in, text out, 256K tokens of context. 1 provider serves it from $0.18 per million input tokens.

Verified 2026-10-25 Rank #684 in LLMs · score 72.4 method v1 Sources 4 Downloads 30d 81.6k · #336 of 619 tracked

Can I run it?179GB at INT4Estimateneeds a multi-GPU nodemethod
What does it cost?$0.18/1M incheapest of 1GMICloudbf162026-10-24
Can I use it?OtherCustom license; read the repo LICENSE before commercial hostinglicence file2026-10-24
Do people use it?81.6kdownloads, 30 days#336 of 619 we track · below the median+0 likes, downloads −16% this week313 likesHugging Face2026-10-24

Worth reading

Picked by rule from 6 tracked pieces: the lab's own post, the most shared, a field report, the latest.

Latest · 4 months ago

Hy3

Tencent released Hy3 on July 6, 2026, as an updated version of its Hunyan model available under the Apache 2.0 license.

hy.tencent.com 2026-07-07 561 HN pts · 120 comments 197 words about the Hy3 family family

6 best of 6 tracked

The 2 picks above, plus these 4. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. CodeHy3 (295B A21B), a reasoning and agent model with great cost efficiencygithub.com · 2026-07-06 · 6 HN pts
  2. DiscussionHy3 – 295B MoE model (21B active, 192 experts)twitter.com · 2026-07-07 · 2 HN pts
  3. ArticleOpenCode go provides Hy3 with 8X usageopencode.ai · 2026-08-21 · 2 HN pts
  4. ArticleTencent used Anthropic's Claude to fine-tune it's new Hy3 AI modelreuters.com · 2026-04-29 · 2 HN pts

Where to run it

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

#Cheapest live rowIn /1MOut /1MContextQuantSeen
1 GMICloud $0.18 $0.60 256K bf16 Oct 24

All 1 provider →

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.

Served by 1 API provider; 8 quantized builds for local use.

  • As a service1GMICloud
  • On own hardware8quantized builds
  • Built on32 fine-tunes · 1 adapters · 0 merges
  • In apps16Hugging Face Spaces

Top Spaces running it: Tracy146/C-Hermes-Agent ♥ 8 · lablab-ai-amd-developer-hackathon/Threat_Hunter ♥ 1 · ICSAC-Institute/editorial-system ♥ 1 · victor/space-thumbnail-previews-emoji-top ♥ 1

Will it fit?

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

Needs an 8×80 GB node even at INT4

About 179 GB at INT4, 359 GB at FP8, 717 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 179 GB of weights (estimate; KV cache and activations extra)INT4179 GBFP8: about 359 GB of weights (estimate; KV cache and activations extra)FP8359 GBBF16: about 717 GB of weights (estimate; KV cache and activations extra)BF16717 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 179 GB of weights (estimate; KV cache and activations extra)INT4179 GBFP8: about 359 GB of weights (estimate; KV cache and activations extra)FP8359 GBBF16: about 717 GB of weights (estimate; KV cache and activations extra)BF16717 GB

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

The story so far

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

What people built on it

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

11 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.

8 quantized (Hugging Face model tree)2 fine-tunes (Hugging Face model tree)1 adapter (Hugging Face model tree)8 quantized2 fine-tunes1 adapter
8 quantized (Hugging Face model tree)2 fine-tunes (Hugging Face model tree)1 adapter (Hugging Face model tree)8 quantized2 fine-tunes1 adapter

All variants →

Reference

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

Benchmarks

20 rows

Benchmarks 20 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (20)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 ARC Challenge · Chat and follow instructions95.990-shotmodel author2026-10-07
author-reported C-Eval · Work across languages89.85-shotmodel author2026-10-07
author-reported CMMLU · Work across languages89.615-shotmodel author2026-10-07
author-reported CRUXEval-I71.193-shotmodel author2026-10-07
author-reported CRUXEval-O68.383-shotmodel author2026-10-07
author-reported Commonsense QA sets · Chat and follow instructions84.394-shotmodel author2026-10-07
author-reported DROP85.55-shotmodel author2026-10-07
author-reported GSM8K · Reason through hard problems95.374-shotmodel author2026-10-07
author-reported INCLUDE · Work across languages78.645-shotmodel author2026-10-07
author-reported LiveCodeBench · Write code with agents34.861-shotmodel author2026-10-07
author-reported MATH-500 · Reason through hard problems76.284-shotmodel author2026-10-07
author-reported MATH-500 · Reason through hard problems91.174-shotmodel author2026-10-07
author-reported MBPP · Write code with agents78.713-shotmodel author2026-10-07
author-reported MMLU · Reason through hard problems87.425-shotmodel author2026-10-07
author-reported MMLU · Reason through hard problems86.865-shotmodel author2026-10-07
author-reported MMLU-Pro · Reason through hard problems65.765-shotmodel author2026-10-07
author-reported MMMLU · Work across languages80.155-shotmodel author2026-10-07
author-reported SimpleQA · Reason through hard problems26.475-shotmodel author2026-10-07
author-reported SimpleQA · Reason through hard problems69.735-shotmodel author2026-10-07
author-reported SuperGPQA · Reason through hard problems51.65-shotmodel author2026-10-07

Use-case evidence

6 use cases

Facts

20 fields

Listed in LLMs · MoE

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesHYV3ForCausalLM
Model typehy_v3
Params by dtypeBF16: 298,786,140,416 · F32: 15,360
Size bandXXL
MoEyes
Experts192
Experts per token8
Context length262,144 (config.json max_position_embeddings)
LicenseOther (other)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · HYV3ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: not in registry · 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 Hy3-preview: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)717 GB · Cluster (≥640 GB)
FP8 (1 byte/param)359 GB · Multi-GPU node (<640 GB)
INT4 (0.5 bytes/param)179 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.

All variants

11 variants

Lineage

Original model Family: tencent/Hy3 11 derivatives on the Hub

quantized: 8finetune: 2adapter: 1

Top variants (11 shown, ranked by downloads)

Relation
Quant
Size
11 rows
Variant Relation Quant Params Band License Author Likes Downloads
mlx-community/Hy3-preview-4bit quantized -4bit 295B XXL other mlx-community 4 3.3k
0xSero/Hy3-299B-NVFP4 quantized NVFP4 169B XXL other 0xSero 5 2.2k
JANGQ-AI/Hy3-preview-JANGTQ_K quantized — 36.5B XL other JANGQ-AI 3 1k
mlx-community/Hy3-preview-8bit quantized -8bit 295B XXL other mlx-community 1 1k
mlx-community/Hy3-preview-6bit quantized — 295B XXL other mlx-community 1 865
JANGQ-AI/Hy3-preview-JANGTQ quantized — 30.5B L other JANGQ-AI 0 570
0xSero/Hy3-299B-FP8 quantized -FP8 299B XXL other 0xSero 0 512
LibertAIDAI/Hy3-preview-NVFP4 quantized NVFP4 172B XXL other LibertAIDAI 0 300
spellbound-eng/hy3-spellbound-50k-merged-sft-step2677 finetune — 295B XXL other spellbound-eng 0 3
spellbound-eng/hy3-spellbound-simpo-r256-b10-g3-sft0p1-lr2e-6-step151-lora adapter — — — other spellbound-eng 0 0
mlx-community/Hy3-preview-MTP-4bit finetune -4bit — — other mlx-community 0 0

Repository changelog

11 commits

Repository changelog 11 commits

DateCommitSHA
2026-04-23 update readme. (#4) 549c2b3
2026-04-23 Update README.md bda30e4
2026-04-23 Upload folder using huggingface_hub bda4c91
2026-04-23 Update README.md ab24fda
2026-04-23 Upload folder using huggingface_hub cf1003d
2026-04-22 Upload folder using huggingface_hub f332661
2026-04-22 Upload folder using huggingface_hub b53bd70
2026-04-22 Add files using upload-large-folder tool 0de7283
2026-04-22 Add files using upload-large-folder tool 166e27d
2026-04-22 Add files using upload-large-folder tool 1a01fbf
2026-04-13 initial commit a4cac00

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for Hy3-preview, 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: $0.18/M.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
GMICloud
openrouter
tencent/hy3-preview 256K bf16 $0.18 $0.60 — — yes live 2026-10-24

Articles and coverage

6 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.

Official1

hy.tencent.com2026-07-07officialHN front pageabout the Hy3 familyHN 561 pts · 120 comments197 words
Tencent released Hy3 on July 6, 2026, as an updated version of its Hunyan model available under the Apache 2.0 license. Internal testing shows the model reduced hallucination rates to 5.4% and increased task resolution to 90% in WorkBuddy. Users report significant efficiency gains, with document processing saving 47.4% in token consumption compared to GLM-5.2.written, reviewed, cited

Analysis4

minimaxir.com2026-05-26HN front pageabout the Hy3 familyHN 150 pts · 112 comments1,633 words
Hy3 preview from Tencent tops OpenRouter rankings despite DeepSeek V4 Flash offering significantly lower effective pricing of $0.018/1M input tokens via a 2% cache read cost. Hy3 costs $0.066/1M tokens input via SiliconFlow with a restrictive license that could prevent providers from adopting the model. Usage data shows a 98% input, 2% output token breakdown since switching from free to paid status on May 8.written, reviewed, cited
github.com2026-07-06authorityabout the Hy3 familyHN 6 pts · 0 comments963 words
Tencent released Hy3, a 295B-parameter Mixture-of-Experts model with 21B active parameters and a 256K context length designed for high cost efficiency. The model reduced its hallucination rate from 12.5% to 5.4% through fine-grained data cleaning and is released under the Apache License 2.0. It outperforms similar-size open-source models and rivals flagship models with 2-5x parameters while showing significant gains in utility across various productivity tasks.written, reviewed, cited
  • Hy3 requires H20-3e or GPUs with larger memory capacity to serve its 295B parameters on 8 GPUs.
  • Hy3 supports GRPO reinforcement learning training via verl or Megatron-LM conversion using NVIDIA Megatron-Bridge.
opencode.ai2026-08-21about the Hy3 familyHN 2 pts · 0 comments1,027 words
OpenCode Go is a $10 per month subscription providing reliable access to curated coding models for agentic workflows. Go Plus costs $40 per month with higher limits, while quotas enforce 20% of the monthly allowance per 5 hours. Some models like Grok 4.7 retain data for 30 days, whereas others retain zero days.written, reviewed, cited
  • Muse Spark 1.3 and 1.2 Contributor models require permission to use prompts for training future Meta models.
  • Grok 4.7 disables the stateful Responses API, Files and Collections, and the Batch API due to ZDR.
  • DeepSeek V4.1 Flash operates under a ZDR agreement valid through October 31, 2026.
reuters.com2026-04-29about the Hy3 familyHN 2 pts · 0 comments

Community1

twitter.com2026-07-07about the Hy3 familyHN 2 pts · 1 comments

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Sources

4 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:42 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25

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