Model comparison
gpt-oss-120b vs Yi-1.5-34B
gpt-oss-120b is the stronger model overall, scoring 36.0 to 30.2 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. gpt-oss-120b scores higher in 6 categories and Yi-1.5-34B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where gpt-oss-120b leads 42.3 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 75.8% for gpt-oss-120b and 32% for Yi-1.5-34B.
Side by side
| gpt-oss-120b | Yi-1.5-34B | |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 36.0 | 30.2 |
| Released | 2025-08-05 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 41K | — |
| Input $ / M tokens | $0.037 | — |
| Output $ / M tokens | $0.17 | — |
| Results tracked | 48 | 21 |
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Category by category
Coding gpt-oss-120b leads
gpt-oss-120b: 33.2 (#251), Yi-1.5-34B: 31.9 (#267)
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1380 | 1169 |
| SWE-bench Verified (bash only) | 26% | — |
| Aider Polyglot | 41.8% | — |
| SciCode | 36% | — |
| WeirdML | 48.2% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |
Agentic & Tool Use Not comparable
gpt-oss-120b: 12.1 (#145), Yi-1.5-34B: —
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |
Reasoning Yi-1.5-34B leads
gpt-oss-120b: 19.5 (#236), Yi-1.5-34B: 21.5 (#195)
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1364 | 1160 |
| SimpleBench | 22.1% | — |
| Kagi LLM Benchmark | 58.6% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 20% | — |
| Mystery Game Puzzles | 2% | — |
| DTBench | 76.3% | — |
| LMCA | 22.1% | — |
| Surface Evolver Bench | 25% | — |
| Epoch Capabilities Index | 139.94 | — |
Math gpt-oss-120b leads
gpt-oss-120b: 50.6 (#43), Yi-1.5-34B: 25.3 (#248)
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1388 | 1182 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| Omni-MATH | 68.8% | — |
| MATH Level 5 | — | 25.5% |
Knowledge gpt-oss-120b leads
gpt-oss-120b: 42.3 (#89), Yi-1.5-34B: 14.8 (#290)
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 75.8% | 32% |
| LMArena Expert | 1356 | 1144 |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |
Multilingual gpt-oss-120b leads
gpt-oss-120b: 48.2 (#142), Yi-1.5-34B: 32.5 (#251)
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1350 | 1121 |
| LMArena Chinese | 1384 | 1213 |
| LMArena French | 1370 | 1155 |
| LMArena German | 1355 | 1111 |
| LMArena Japanese | 1332 | 1021 |
| LMArena Korean | 1283 | 1005 |
| LMArena Russian | 1343 | 1091 |
| LMArena Spanish | 1388 | 1120 |
Instruction Following gpt-oss-120b leads
gpt-oss-120b: 69.5 (#168), Yi-1.5-34B: 59.4 (#252)
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1318 | 1139 |
| IFEval | 83.6% | — |
Long Context Yi-1.5-34B leads
gpt-oss-120b: 31.4 (#273), Yi-1.5-34B: 34.6 (#243)
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1319 | 1144 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference gpt-oss-120b leads
gpt-oss-120b: 46.7 (#213), Yi-1.5-34B: 37.6 (#252)
| Benchmark | gpt-oss-120b | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1366 | 1173 |
| LMArena Creative Writing | 1274 | 1135 |
| LMArena Multi-Turn | 1340 | 1153 |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
| WildBench | 84.5% | — |
Frequently asked questions
Is gpt-oss-120b better than Yi-1.5-34B?
gpt-oss-120b is the stronger model overall, scoring 36.0 to 30.2 on the Noometry Index.
Is gpt-oss-120b or Yi-1.5-34B better for coding?
gpt-oss-120b scores higher on coding benchmarks: 33.2 versus 31.9 in the Noometry coding category.
How many benchmarks do gpt-oss-120b and Yi-1.5-34B share?
18 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Yi-1.5-34B has 21.