Model comparison
gpt-oss-120b vs Olmo 2 0325 32b Instruct
gpt-oss-120b is the stronger model overall, scoring 36.3 to 32.7 on the Noometry Index.
Last verified . 16 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. gpt-oss-120b scores higher in 5 categories and Olmo 2 0325 32b Instruct in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 26.8.
- The biggest single-benchmark swing is Omni-MATH: 68.8% for gpt-oss-120b and 16.1% for Olmo 2 0325 32b Instruct.
Side by side
| gpt-oss-120b | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 36.3 | 32.7 |
| Released | 2025-08-05 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 41K | — |
| Input $ / M tokens | $0.037 | — |
| Output $ / M tokens | $0.17 | — |
| Results tracked | 48 | 16 |
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Category by category
Coding Olmo 2 0325 32b Instruct leads
gpt-oss-120b: 33.5 (#256), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1380 | 1210 |
| SWE-bench Verified (bash only) | 26% | — |
| Aider Polyglot | 41.8% | — |
| SciCode | 36% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |
Agentic & Tool Use Not comparable
gpt-oss-120b: 12.2 (#153), Olmo 2 0325 32b Instruct: —
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |
Reasoning Olmo 2 0325 32b Instruct leads
gpt-oss-120b: 20.0 (#245), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1364 | 1208 |
| 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 | 139.93 | — |
Math gpt-oss-120b leads
gpt-oss-120b: 52.5 (#50), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| Omni-MATH | 68.8% | 16.1% |
| LMArena Math | 1389 | 1208 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
Knowledge gpt-oss-120b leads
gpt-oss-120b: 42.4 (#96), Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | 79.5% | 41.4% |
| GPQA (HELM) | 68.4% | 28.7% |
| GPQA Diamond | 75.8% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| LMArena Expert | 1356 | — |
Multilingual gpt-oss-120b leads
gpt-oss-120b: 48.0 (#147), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1351 | 1160 |
| LMArena Chinese | 1385 | 1192 |
| LMArena Russian | 1343 | 1187 |
| LMArena French | 1369 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1331 | — |
| LMArena Korean | 1282 | — |
| LMArena Spanish | 1389 | — |
Instruction Following gpt-oss-120b leads
gpt-oss-120b: 69.3 (#173), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| IFEval | 83.6% | 78% |
| LMArena Instruction Following | 1318 | 1186 |
Long Context Olmo 2 0325 32b Instruct leads
gpt-oss-120b: 31.4 (#278), Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1319 | 1194 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference gpt-oss-120b leads
gpt-oss-120b: 46.5 (#217), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | gpt-oss-120b | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1365 | 1218 |
| LMArena Creative Writing | 1275 | 1199 |
| WildBench | 84.5% | 73.4% |
| LMArena Multi-Turn | 1340 | 1221 |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
Frequently asked questions
Is gpt-oss-120b better than Olmo 2 0325 32b Instruct?
gpt-oss-120b is the stronger model overall, scoring 36.3 to 32.7 on the Noometry Index.
Is gpt-oss-120b or Olmo 2 0325 32b Instruct better for coding?
Olmo 2 0325 32b Instruct scores higher on coding benchmarks: 35.2 versus 33.5 in the Noometry coding category.
How many benchmarks do gpt-oss-120b and Olmo 2 0325 32b Instruct share?
16 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.