Hunyuan-Large 8B: pricing, context window and benchmarks
Hunyuan-Large 8B is a small open-weight model from Tencent. It offers a 4,096-token context window, costs $1.29 per million input tokens and $6.63 per million output tokens, and averages 58.7 across the index's benchmark suite.
Pricing
Hunyuan-Large 8B costs $1.29 per million input tokens and $6.63 per million output tokens. A blended 3:1 input-to-output mix works out to about $2.62 per million tokens. Cached input is listed at $0.18 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.29 | per 1M tokens |
| Output | $6.63 | per 1M tokens |
| Cached input | $0.18 | per 1M tokens |
| Blended 3:1 | $2.62 | estimate per 1M tokens |
| 1M in + 1M out | $7.92 | 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 | 64.1 | 468 | 22th | |
| GPQA Diamond | 54.7 | 466 | 22th | |
| SWE-bench Verified | 42.5 | 495 | 18th | |
| HumanEval | 64.3 | 448 | 25th | |
| MATH-500 | 58.1 | 488 | 19th | |
| AIME 2025 | 48.4 | 467 | 22th | |
| LiveCodeBench | 45.7 | 491 | 18th | |
| IFEval | 70.6 | 447 | 26th | |
| TruthfulQA | 63.7 | 475 | 21th | |
| HellaSwag | 75.0 | 443 | 26th | |
| MMMU | 58.9 | 441 | 27th | |
| Arena Elo | 1279.3 | 447 | 26th |
What Hunyuan-Large 8B is good for
Hunyuan-Large 8B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $1.29 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $1.29 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Context window of 4,096 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Codestral 8B | Mistral AI | 4096 | $1.18 | 59.0 |
| Magistral 7B | Mistral AI | 32768 | $1.22 | 58.9 |
| Llama 3.1 Turbo 8B | Together AI | 32768 | $1.16 | 58.8 |
| DeepSeek-Coder 8B | DeepSeek | 32768 | $1.26 | 58.7 |
| Hunyuan-Large 8B | Tencent | 4096 | $1.29 | 58.7 |
| Llama 3.1 8B | Meta AI | 8192 | $1.15 | 58.7 |
FAQ
How much does Hunyuan-Large 8B cost?
Hunyuan-Large 8B is listed at $1.29 per million input tokens and $6.63 per million output tokens. Cached input is $0.18 per million tokens. A blended 3:1 input-to-output mix is about $2.62 per million tokens.
What is the context window of Hunyuan-Large 8B?
Hunyuan-Large 8B has a context window of 4,096 tokens and can emit up to 4,096 output tokens per request in this index.
Is Hunyuan-Large 8B open weights?
Yes. Hunyuan-Large 8B is listed as an open-weight model under a open weights licence.
How does Hunyuan-Large 8B score on benchmarks?
Hunyuan-Large 8B averages 58.7 across the scored benchmarks in this index, ranking #469 of 600 models. Its strongest relative result is Arena Elo at 1279.3.
What is Hunyuan-Large 8B best for?
Hunyuan-Large 8B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $1.29 per million input tokens it can handle a large share of production traffic.