Model comparison
GPT-6.1 Sol vs Yi-1.5-34B
Yi-1.5-34B has enough public results to be ranked (#286); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 31.9.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Yi-1.5-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 42.1 | 30.2 |
| Released | 2026-09-29 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 2 | 21 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Yi-1.5-34B: 31.9 (#267)
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| DeepSWE | 75.2% | — |
| BigCodeBench Instruct | — | 33.9% |
| LMArena Coding | — | 1169 |
| BigCodeBench Complete | — | 43.8% |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 34.3, Yi-1.5-34B: —
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: —, Yi-1.5-34B: 21.5 (#195)
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | — | 1160 |
Math Not comparable
GPT-6.1 Sol: —, Yi-1.5-34B: 25.3 (#248)
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Not comparable
GPT-6.1 Sol: —, Yi-1.5-34B: 14.8 (#290)
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | — | 32% |
| LMArena Expert | — | 1144 |
Multilingual Not comparable
GPT-6.1 Sol: —, Yi-1.5-34B: 32.5 (#251)
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1155 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1120 |
Instruction Following Not comparable
GPT-6.1 Sol: —, Yi-1.5-34B: 59.4 (#252)
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |
Long Context Not comparable
GPT-6.1 Sol: —, Yi-1.5-34B: 34.6 (#243)
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1144 |
Writing & Preference Not comparable
GPT-6.1 Sol: —, Yi-1.5-34B: 37.6 (#252)
| Benchmark | GPT-6.1 Sol | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |
Frequently asked questions
Is GPT-6.1 Sol better than Yi-1.5-34B?
Yi-1.5-34B has enough public results to be ranked (#286); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Is GPT-6.1 Sol or Yi-1.5-34B better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 31.9 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Yi-1.5-34B share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Yi-1.5-34B has 21.