Tencent, open weights
Hy4 preview
Hy4 preview by Tencent ranks 73rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 45.3. Its strongest category is coding, where it ranks 38th. API pricing starts at $0.75 per million input tokens and $2.25 per million output tokens, with a 1.05M-token context window.
Last verified
Specifications
- Noometry rank
- #73 of 354
- Index score
- 45.3
- Evidence
- Reported 3 results
- Provider
Tencent
- Released
- August 28, 2026
- Weights
- Open weights
- Reasoning
- Yes
- Context window
- 1.05M
- Max output
- 64K
- Input price
- $0.75 / M
- Output price
- $2.25 / M
- Blended price
- $1.13 / M
- Output speed
- Not measured
- Value
- #118 of 219
- Knowledge cutoff
- Unknown
- Input
- text
- Hugging Face
- tencent/Hy4-preview
Category scores
Each category score combines every public result we have in that category.
- Coding 51.6
- Reasoning 31.9
- Math 55.7
Strengths and weaknesses
Categories where Hy4 preview places highest and lowest among the models ranked in each, with its score against that category's median.
Closest competitors
The models ranked just above and below Hy4 preview. When scores are this close, price and speed are often the better way to choose.
| Model | Rank | Score | Blended $/M | Speed | |
|---|---|---|---|---|---|
| GPT-5.3 Codex | #69 | 45.8 | $4.81 | — | Compare |
| Kimi K2 Thinking Turbo | #70 | 45.8 | — | — | Compare |
| Qwen3.5 Max Preview | #71 | 45.3 | — | — | Compare |
| Qwen3.7 Plus | #72 | 45.3 | $0.70 | — | Compare |
| MiMo-V2.5-Pro | #74 | 45.2 | $0.54 | — | Compare |
| Gemini 2.5 Pro | #75 | 45.0 | $3.44 | 5 | Compare |
| GPT-5.4 mini | #76 | 45.0 | $1.69 | 10 | Compare |
| Amazon Nova Experimental Chat 26 02 10 | #77 | 44.5 | — | — | Compare |
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Benchmark results
Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.
Coding
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| LMArena WebDev | 1632 | #14 of 113, top 13% | LMArena | 2026-10-08 |
Reasoning
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| NYT Connections (extended) | 68.2% | #52 of 91, top 58% | Lech Mazur benchmarks |
Math
| Benchmark | Score | Position | Setting | Source | Date |
|---|---|---|---|---|---|
| ProofBench | 75% | #13 of 77, top 17% | Epoch AI |
API pricing by provider
| Route | Input $/M | Output $/M | Cached input $/M | Checked |
|---|---|---|---|---|
| deepinfra | $0.83 | $2.50 | $0.042 | 2026-10-10 |
| openrouter | $0.75 | $2.25 | $0.0378 | 2026-10-10 |
Compare Hy4 preview
- Hy4 preview vs Qwen3.7 Plus
- Hy4 preview vs MiMo-V2.5-Pro
- Hy4 preview vs Qwen3.5 Max Preview
- Hy4 preview vs Gemini 2.5 Pro
- Hy4 preview vs Kimi K2 Thinking Turbo
- Hy4 preview vs GPT-5.4 mini
- Hy4 preview vs GPT-6 Astra
- Hy4 preview vs Claude Fable 5.1
- Hy4 preview vs Gemini 3.8 Flash
- Hy4 preview vs Kimi K3
- Hy4 preview vs Grok 4.6
- Hy4 preview vs Qwen3.8 Max
- Hy4 preview vs GLM-5.3
- Hy4 preview vs Muse Spark 1.3
Other Tencent models
Frequently asked questions
How good is Hy4 preview?
Hy4 preview by Tencent ranks 73rd of 354 ranked models on the Noometry Index as of October 2026, with a score of 45.3. Its strongest category is coding, where it ranks 38th. API pricing starts at $0.75 per million input tokens and $2.25 per million output tokens, with a 1.05M-token context window.
How much does Hy4 preview cost?
Hy4 preview costs $0.75 per million input tokens and $2.25 per million output tokens on openrouter, with cached input at $0.0378.
What is Hy4 preview's context window?
Hy4 preview accepts up to 1.05M tokens of input and can write up to 64K tokens in one response.
Is Hy4 preview open source?
Yes. Hy4 preview's weights are downloadable from Hugging Face (tencent/Hy4-preview); check the license for commercial terms.
What are Hy4 preview's strengths and weaknesses?
Relative to other ranked models, Hy4 preview places best in coding and lowest in reasoning.
What is Hy4 preview best at?
Its best category is coding, where it ranks 38th on Noometry.