AI Model Comparison
Yi-Large
Yi-Large — 01.AI large language model (2024) with a 32K-token context window and an MMLU score of 83.0%.
Key specifications
| MMLU (capability) | 83.0% |
|---|---|
| Context window (K tokens) | 32 |
| Input price ($/1M) | 3 |
| Output price ($/1M) | 3 |
About Yi-Large
The Yi-Large is a large language model from 01.AI with a 32K-token context window and an MMLU score of 83.0%. It is proprietary api, accessed via API. MMLU measures general knowledge and reasoning; real-world quality also depends on coding, tool use, latency and safety.
The comparisons below show how Yi-Large stacks up against the alternatives people most often weigh against it, with the specific numbers laid out side by side.
Frequently asked questions
Is the Yi-Large any good?
Yi-Large — 01.AI large language model (2024) with a 32K-token context window and an MMLU score of 83.0%.
What are the key specs of the Yi-Large?
See the specification table above for the full breakdown.
✓ Reviewed by Priya Nair, Data Quality Reviewer.
Last updated 2026-05-01