Hy3
Tencent released Hy3 on July 6, 2026, as an updated version of its Hunyan model available under the Apache 2.0 license.
Up to date
tencent Apache 2.0 out 4 months ago
299B parameters (8 of 192 experts per token), text in, text out, 256K tokens of context. 7 providers serve it from $0.083 per million input tokens.
Verified 2026-10-25 Rank #149 in LLMs · score 93.1 method v1 Sources 4 Downloads 30d 941.7k · #118 of 619 tracked
Changed this week: Cheapest input price fell 36.5%: $0.130 → $0.083 per 1M (OpenRouter).2026-10-24 · 1 new quantized build on the Hub (66 in all).2026-10-24
Picked by rule from 15 tracked pieces: the lab's own post, the most shared, a field report, the latest.
Tencent released Hy3 on July 6, 2026, as an updated version of its Hunyan model available under the Apache 2.0 license.
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.
Tencent released Hy3, a 295B-parameter Mixture-of-Experts model with 21B active parameters and a 256K context length designed for high cost efficiency.
OpenCode Go is a $10 per month subscription providing reliable access to curated coding models for agentic workflows.
The 4 picks above, plus these 11. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.
Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.
6 providers with a live price, from $0.083 to $0.20 per million input tokens; the median is $0.14. One dot per provider, cheapest in teal.
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 (7 API providers); heavily run locally (66 quantized builds).
Top Spaces running it: DeepImagix/self-trained2 ♥ 1 · akhaliq/Hy3-new ♥ 1 · vora-sonnet/aurora-ai-os ♥ 1 · abonaie222263/hf-openai-proxy ♥ 1
Weights only, an estimate: leave room for the KV cache. Method
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.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2026-07-02), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.
79 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
| Benchmark | Value | Setting / notes | Reported by | Date |
|---|---|---|---|---|
| author-reported blind evaluation with 270 experts | 2.67/4 | — | model author | 2026-10-07 |
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.
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | HYV3ForCausalLM |
| Model type | hy_v3 |
| Dtype | bfloat16 |
| Params by dtype | BF16: 298,786,140,416 · F32: 15,360 |
| Size band | XXL |
| MoE | yes |
| Experts | 192 |
| Experts per token | 8 |
| Context length | 262,144 (config.json max_position_embeddings) |
| License | Apache 2.0 (apache-2.0) |
| Hub snapshot | 2026-10-25 |
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.
Weights-only memory for Hy3: 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.
quantized: 66finetune: 13
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| AngelSlim/Hy3-GGUF | quantized | GGUF | — | — | apache-2.0 | AngelSlim | 187 | 1.2M |
| bartowski/Hy3-GGUF | quantized | GGUF | — | — | apache-2.0 | bartowski | 10 | 95.2k |
| YanissAmz/Hy3-295B-A21B-GGUF | quantized | GGUF | — | — | apache-2.0 | YanissAmz | 21 | 54.6k |
| satgeze/Hy3-1M-GGUF | quantized | GGUF | — | — | apache-2.0 | satgeze | 45 | 33.2k |
| giannisan/Hy3-ds4-gguf | quantized | gguf | — | — | — | giannisan | 30 | 19.8k |
| kodelow/Hy3-NVFP4-W4A16 | quantized | NVFP4 | 172B | XXL | apache-2.0 | kodelow | 15 | 9.7k |
| rdtand/Hy3-295B-A21B-PrismaQuant-2.8bit-gguf-vllm | quantized | gguf | — | — | apache-2.0 | rdtand | 2 | 5.8k |
| avlp12/Hy3-Alis-MLX-Dynamic | quantized | MLX | 295B | XXL | apache-2.0 | avlp12 | 10 | 5.3k |
| RedHatAI/Hy3-NVFP4-FP8 | quantized | NVFP4 | 299B | XXL | mit | RedHatAI | 7 | 5.3k |
| AngelSlim/Hy3-GPTQ-Int4 | quantized | GPTQ | 299B | XXL | apache-2.0 | AngelSlim | 10 | 4.5k |
| olka-fi/Hy3-MXFP4 | quantized | MXFP4 | 163B | XXL | apache-2.0 | olka-fi | 6 | 4.7k |
| mlx-community/Hy3-oQ2 | quantized | — | 295B | XXL | apache-2.0 | mlx-community | 9 | 4.1k |
| jcbtc/Hy3-Chadrock-FPX-IFP2-MTP | quantized | GGUF | — | — | apache-2.0 | jcbtc | 3 | 4.3k |
| cyankiwi/Hy3-AWQ-INT4 | quantized | AWQ | 49.6B | XL | apache-2.0 | cyankiwi | 4 | 4.2k |
| cyankiwi/Hy3-AWQ-NVFP4 | quantized | AWQ | 167B | XXL | apache-2.0 | cyankiwi | 2 | 4.2k |
| LibertAIDAI/Hy3-NVFP4 | quantized | NVFP4 | 172B | XXL | other | LibertAIDAI | 2 | 3.9k |
| ox-ox/Hy3-295B-Instruct-w2q3exp-AProjQ8-SExpQ8-OutQ8-MTP-mlx | quantized | mlx | — | — | apache-2.0 | ox-ox | 3 | 3k |
| Jiunsong/SuperHY3-abliterated-NVFP4 | finetune | NVFP4 | 172B | XXL | apache-2.0 | Jiunsong | 16 | 2.1k |
| mlx-community/Hy3-oQ2e | quantized | — | 295B | XXL | apache-2.0 | mlx-community | 4 | 2.7k |
| canada-quant/hy3-w4a16-mtp | quantized | -w4a16 | 46.8B | XL | apache-2.0 | canada-quant | 5 | 2.6k |
| LordNeel/Hy3-GGUF | quantized | GGUF | — | — | apache-2.0 | LordNeel | 4 | 2.3k |
| mlx-community/Hy3-OptiQ-2bit | quantized | — | 295B | XXL | apache-2.0 | mlx-community | 6 | 2k |
| AtomicChat/Hy3-GGUF | quantized | GGUF | — | — | apache-2.0 | AtomicChat | 5 | 2k |
| philipjohnbasile/hy3-demolition-mlx-lite-v1 | quantized | mlx | 295B | XXL | apache-2.0 | philipjohnbasile | 1 | 1.8k |
| tiny-random/hy-v3 | finetune | — | 2.57M | S | — | tiny-random | 1 | 1.8k |
| philipjohnbasile/hy3-demolition-mlx-reap25-v1 | quantized | mlx | 223B | XXL | apache-2.0 | philipjohnbasile | 2 | 1.7k |
| rdtand/Hy3-295B-A21B-PrismaQuant-5.3bit-2xSpark-vllm | quantized | — | 194B | XXL | apache-2.0 | rdtand | 1 | 1.7k |
| yujiepan/hy-v3-tiny-random | finetune | — | 2.57M | S | — | yujiepan | 0 | 1.7k |
| JANGQ-AI/Hy3-JANG_2K-MTP | quantized | — | 299B | XXL | other | JANGQ-AI | 4 | 1.5k |
| INCModel2/Hy3-MXFP4-Mixed-CT-AutoRound-Preview | quantized | MXFP4 | 163B | XXL | other | INCModel2 | 1 | 1.6k |
| yujiepan/hy3-tiny-random | finetune | — | 2.57M | S | — | yujiepan | 0 | 1.6k |
| tiyuvta/Hy3-NVFP4 | quantized | NVFP4 | 154B | XXL | apache-2.0 | tiyuvta | 1 | 1.5k |
| pipenetwork/Hy3-REAP75-MLX-4bit | quantized | MLX | 80.3B | XL | apache-2.0 | pipenetwork | 4 | 1.2k |
| cloudyu/hy3-gguf | quantized | gguf | — | — | apache-2.0 | cloudyu | 1 | 1.1k |
| philipjohnbasile/hy3-demolition-mlx-reap25-v1-mtp | quantized | mlx | 223B | XXL | apache-2.0 | philipjohnbasile | 2 | 971 |
| unigilby/Hy3-oQ4e | quantized | — | 295B | XXL | apache-2.0 | unigilby | 1 | 978 |
| pipenetwork/Hy3-REAP62-MLX-4bit | quantized | MLX | 116B | XXL | apache-2.0 | pipenetwork | 3 | 857 |
| OpensourceWTF/Hy3-oQ2e-MTPLX-streaming | quantized | — | 8.75B | M | apache-2.0 | OpensourceWTF | 3 | 787 |
| pipenetwork/Hy3-2bit | quantized | — | 295B | XXL | apache-2.0 | pipenetwork | 3 | 771 |
| vroomfondel/Hy3-NVFP4-W4A4 | quantized | NVFP4 | 148B | XXL | apache-2.0 | vroomfondel | 1 | 855 |
| Date | Commit | SHA |
|---|---|---|
| 2026-07-20 | Update config.json | a960ebc |
| 2026-07-17 | Upload folder using huggingface_hub | 02b95e9 |
| 2026-07-16 | Upload folder using huggingface_hub | 89ffd53 |
| 2026-07-16 | Upload folder using huggingface_hub | e4e6605 |
| 2026-07-06 | Upload folder using huggingface_hub | 716aa72 |
| 2026-07-06 | Update README.md | 6acfeb6 |
| 2026-07-06 | Update README_CN.md | 24fe753 |
| 2026-07-06 | Update vllm recipes and sglang codebook | 45b92d8 |
| 2026-07-06 | Upload folder using huggingface_hub | 62b972e |
| 2026-07-06 | Upload folder using huggingface_hub | 5137deb |
| 2026-07-05 | Upload chat_template.jinja with huggingface_hub | 3917583 |
| 2026-07-04 | Add files using upload-large-folder tool | 9feb605 |
| 2026-07-04 | Add files using upload-large-folder tool | d4bf2b3 |
| 2026-07-04 | Add files using upload-large-folder tool | c1131ba |
| 2026-07-02 | initial commit | bee39e3 |
Hosted endpoints observed for Hy3, 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: $0.08/M.
| Provider | Model ref | Context | Quant | $/M in | $/M out | tok/s | TTFT | Tools | Status | Observed |
|---|---|---|---|---|---|---|---|---|---|---|
| Tencent openrouter | tencent/hy3 | 256K | fp8 | $0.08 | $0.33 | — | — | yes | live | 2026-10-24 |
| DeepInfra hf | tencent/Hy3 | 256K | — | $0.13 | $0.53 | 52.1 | 674 ms | yes | live | 2026-10-25 |
| Novita openrouter | tencent/hy3 | 256K | unknown | $0.14 | $0.58 | — | — | yes | live | 2026-10-24 |
| GMICloud openrouter | tencent/hy3 | 256K | bf16 | $0.14 | $0.58 | — | — | yes | live | 2026-10-24 |
| Phala openrouter | tencent/hy3 | 256K | unknown | $0.15 | $0.64 | — | — | yes | live | 2026-10-24 |
| AtlasCloud openrouter | tencent/hy3 | 256K | fp8 | $0.20 | $0.80 | — | — | yes | live | 2026-10-24 |
| Featherless hf | tencent/Hy3 | — | — | — | — | — | — | — | live | 2026-10-25 |
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.
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:35 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:03 UTC · Last verified 2026-10-25
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