Hunyuan-Large Base: pricing, context window and benchmarks
Hunyuan-Large Base is a multimodal model from Tencent. It offers a 200,000-token context window, costs $3.64 per million input tokens and $19.08 per million output tokens, and averages 74.0 across the index's benchmark suite.
Pricing
Hunyuan-Large Base costs $3.64 per million input tokens and $19.08 per million output tokens. A blended 3:1 input-to-output mix works out to about $7.50 per million tokens. Cached input is listed at $0.39 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $3.64 | per 1M tokens |
| Output | $19.08 | per 1M tokens |
| Cached input | $0.39 | per 1M tokens |
| Blended 3:1 | $7.50 | estimate per 1M tokens |
| 1M in + 1M out | $22.72 | 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 | 78.0 | 241 | 60th | |
| GPQA Diamond | 69.1 | 292 | 51th | |
| SWE-bench Verified | 60.7 | 311 | 48th | |
| HumanEval | 79.6 | 244 | 59th | |
| MATH-500 | 79.4 | 225 | 63th | |
| AIME 2025 | 69.9 | 257 | 57th | |
| LiveCodeBench | 64.6 | 305 | 49th | |
| IFEval | 80.9 | 311 | 48th | |
| TruthfulQA | 74.8 | 335 | 44th | |
| HellaSwag | 83.5 | 304 | 49th | |
| MMMU | 73.1 | 217 | 64th | |
| Arena Elo | 1386.1 | 263 | 56th |
What Hunyuan-Large Base is good for
Hunyuan-Large Base is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.64 per million input tokens (hosted list price) and a 200,000-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Large 200,000-token context window for long documents and agent traces.
- Input price of $3.64 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
- Accepts more than text, including image input where the provider supports it.
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 |
|---|---|---|---|---|
| GPT-5.1 Nano | OpenAI | 32768 | $9.56 | 74.1 |
| Gemma 3 Instruct | Google DeepMind | 128000 | $3.72 | 74.1 |
| Reka Flash | Reka AI | 128000 | $9.95 | 74.1 |
| Hunyuan-Large Base | Tencent | 200000 | $3.64 | 74.0 |
| Llama 3 DeepInfra | DeepInfra | 128000 | $3.67 | 74.0 |
| Llama 3.3 Base | Meta AI | 32768 | $3.63 | 74.0 |
FAQ
How much does Hunyuan-Large Base cost?
Hunyuan-Large Base is listed at $3.64 per million input tokens and $19.08 per million output tokens. Cached input is $0.39 per million tokens. A blended 3:1 input-to-output mix is about $7.50 per million tokens.
What is the context window of Hunyuan-Large Base?
Hunyuan-Large Base has a context window of 200,000 tokens and can emit up to 8,192 output tokens per request in this index.
Is Hunyuan-Large Base open weights?
Yes. Hunyuan-Large Base is listed as an open-weight model under a open weights licence.
How does Hunyuan-Large Base score on benchmarks?
Hunyuan-Large Base averages 74.0 across the scored benchmarks in this index, ranking #278 of 600 models. Its strongest relative result is Arena Elo at 1386.1.
What is Hunyuan-Large Base best for?
Hunyuan-Large Base is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $3.64 per million input tokens (hosted list price) and a 200,000-token context window, it is a practical option for teams that want more control than a closed API allows.