Model comparison
GPT-6.1 Sol vs Yi-Large
Neither GPT-6.1 Sol nor Yi-Large has enough public benchmark results to be ranked yet; the rows below show what has been published.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 36.1.
Side by side
| GPT-6.1 Sol | Yi-Large | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 42.1 | 37.6 |
| Released | 2026-09-29 | 2024-05-13 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 2 | 3 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Yi-Large: 36.1 (#201)
| Benchmark | GPT-6.1 Sol | Yi-Large |
|---|---|---|
| DeepSWE | 75.2% | — |
| BigCodeBench Instruct | — | 37.7% |
| BigCodeBench Complete | — | 47.2% |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 34.3, Yi-Large: —
| Benchmark | GPT-6.1 Sol | Yi-Large |
|---|---|---|
| GDP.pdf | 32% | — |
Knowledge Not comparable
GPT-6.1 Sol: —, Yi-Large: —
| Benchmark | GPT-6.1 Sol | Yi-Large |
|---|---|---|
| MMLU | — | 79.3% |
Frequently asked questions
Is GPT-6.1 Sol better than Yi-Large?
Neither GPT-6.1 Sol nor Yi-Large has enough public benchmark results to be ranked yet; the rows below show what has been published.
Is GPT-6.1 Sol or Yi-Large better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 36.1 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Yi-Large share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Yi-Large has 3.