Model comparison
GPT-5.5 Pro vs Yi-1.5-34B
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.2 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5.5 Pro scores higher in 3 categories and Yi-1.5-34B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 25.3.
- The biggest single-benchmark swing is GPQA Diamond: 93.9% for GPT-5.5 Pro and 32% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Yi-1.5-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 64.3 | 30.2 |
| Released | 2026-04-23 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $30 | — |
| Output $ / M tokens | $180 | — |
| Results tracked | 14 | 21 |
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Category by category
Coding Not comparable
GPT-5.5 Pro: —, Yi-1.5-34B: 31.9 (#267)
| Benchmark | GPT-5.5 Pro | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | — | 33.9% |
| LMArena Coding | — | 1169 |
| BigCodeBench Complete | — | 43.8% |
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.6 (#7), Yi-1.5-34B: 21.5 (#195)
| Benchmark | GPT-5.5 Pro | Yi-1.5-34B |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| LMArena Hard Prompts | — | 1160 |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.45 | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 83.8 (#8), Yi-1.5-34B: 25.3 (#248)
| Benchmark | GPT-5.5 Pro | Yi-1.5-34B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.2 (#17), Yi-1.5-34B: 14.8 (#290)
| Benchmark | GPT-5.5 Pro | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 93.9% | 32% |
| LMArena Expert | — | 1144 |
Multilingual Not comparable
GPT-5.5 Pro: —, Yi-1.5-34B: 32.5 (#251)
| Benchmark | GPT-5.5 Pro | 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-5.5 Pro: —, Yi-1.5-34B: 59.4 (#252)
| Benchmark | GPT-5.5 Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |
Long Context Not comparable
GPT-5.5 Pro: —, Yi-1.5-34B: 34.6 (#243)
| Benchmark | GPT-5.5 Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1144 |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Yi-1.5-34B: 37.6 (#252)
| Benchmark | GPT-5.5 Pro | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |
Frequently asked questions
Is GPT-5.5 Pro better than Yi-1.5-34B?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 30.2 on the Noometry Index.
How many benchmarks do GPT-5.5 Pro and Yi-1.5-34B share?
1 benchmark has published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Yi-1.5-34B has 21.