Hunyuan-Large Chat: pricing, context window and benchmarks
Hunyuan-Large Chat is a multimodal model from Tencent. It offers a 200,000-token context window, costs $4.35 per million input tokens and $18.20 per million output tokens, and averages 78.1 across the index's benchmark suite.
Pricing
Hunyuan-Large Chat costs $4.35 per million input tokens and $18.20 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.81 per million tokens. Cached input is listed at $0.40 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $4.35 | per 1M tokens |
| Output | $18.20 | per 1M tokens |
| Cached input | $0.40 | per 1M tokens |
| Blended 3:1 | $7.81 | estimate per 1M tokens |
| 1M in + 1M out | $22.55 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 80.6 | 164 | 73th | |
| GPQA Diamond | 75.4 | 135 | 78th | |
| SWE-bench Verified | 66.3 | 185 | 69th | |
| HumanEval | 83.5 | 145 | 76th | |
| MATH-500 | 83.3 | 141 | 77th | |
| AIME 2025 | 70.4 | 250 | 58th | |
| LiveCodeBench | 73.8 | 112 | 81th | |
| IFEval | 84.3 | 206 | 66th | |
| TruthfulQA | 80.3 | 170 | 72th | |
| HellaSwag | 86.9 | 181 | 70th | |
| MMMU | 74.0 | 191 | 68th | |
| Arena Elo | 1413.8 | 174 | 71th |
What Hunyuan-Large Chat is good for
Hunyuan-Large Chat is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $4.35 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.
Strengths
- Large 200,000-token context window for long documents and agent traces.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
- Coding benchmarks are a relative strength within its tier.
Trade-offs
- No standout weakness in the indexed specifications, but real-world behaviour still needs testing.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| DeepSeek-Coder | DeepSeek | 32768 | $4.55 | 78.1 |
| Gemini 3 Pro Mini | Google DeepMind | 128000 | $12.27 | 78.1 |
| Hunyuan-Large Chat | Tencent | 200000 | $4.35 | 78.1 |
| Qwen3-Coder Instruct | Alibaba Cloud | 128000 | $4.66 | 78.1 |
| ERNIE 4.0 Turbo | Baidu | 65536 | $12.00 | 78.0 |
| Llama 4 Scout Chat | Meta AI | 32768 | $4.66 | 78.0 |
FAQ
How much does Hunyuan-Large Chat cost?
Hunyuan-Large Chat is listed at $4.35 per million input tokens and $18.20 per million output tokens. Cached input is $0.40 per million tokens. A blended 3:1 input-to-output mix is about $7.81 per million tokens.
What is the context window of Hunyuan-Large Chat?
Hunyuan-Large Chat has a context window of 200,000 tokens and can emit up to 4,096 output tokens per request in this index.
Is Hunyuan-Large Chat open weights?
Yes. Hunyuan-Large Chat is listed as an open-weight model under a open weights licence.
How does Hunyuan-Large Chat score on benchmarks?
Hunyuan-Large Chat averages 78.1 across the scored benchmarks in this index, ranking #171 of 600 models. Its strongest relative result is Arena Elo at 1413.8.
What is Hunyuan-Large Chat best for?
Hunyuan-Large Chat is tuned toward coding work. It is a reasonable candidate for code generation, review, debugging and repository-scale tasks, especially when paired with a retrieval layer. At $4.35 per million input tokens, it sits in the mid-range of the index, and the 200,000-token context window is enough for large files and multi-file diffs.