Model comparison
gpt-oss-120b vs OLMo 2 Furious 13B
gpt-oss-120b is the stronger model overall, scoring 36.3 to 29.7 on the Noometry Index.
Last verified . 5 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 5 benchmarks with published results for both. gpt-oss-120b scores higher in 6 categories and OLMo 2 Furious 13B in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 23.1.
- The biggest single-benchmark swing is Omni-MATH: 68.8% for gpt-oss-120b and 15.6% for OLMo 2 Furious 13B.
Side by side
| gpt-oss-120b | OLMo 2 Furious 13B | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 36.3 | 29.7 |
| Released | 2025-08-05 | 2024-12-31 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 41K | — |
| Input $ / M tokens | $0.037 | — |
| Output $ / M tokens | $0.17 | — |
| Results tracked | 48 | 12 |
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Category by category
Coding gpt-oss-120b leads
gpt-oss-120b: 33.5 (#256), OLMo 2 Furious 13B: 28.6 (#313)
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| SWE-bench Verified (bash only) | 26% | — |
| Aider Polyglot | 41.8% | — |
| SciCode | 36% | — |
| WeirdML | 48.2% | — |
| LiveBench Coding | — | 10.4% |
| LMArena Coding | 1380 | — |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |
Agentic & Tool Use Not comparable
gpt-oss-120b: 12.2 (#153), OLMo 2 Furious 13B: —
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |
Reasoning gpt-oss-120b leads
gpt-oss-120b: 20.0 (#245), OLMo 2 Furious 13B: 15.5 (#314)
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| SimpleBench | 22.1% | — |
| Kagi LLM Benchmark | 58.6% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 20% | — |
| LiveBench Reasoning | — | 16.3% |
| LMArena Hard Prompts | 1364 | — |
| Mystery Game Puzzles | 2% | — |
| DTBench | 76.3% | — |
| LiveBench Data Analysis | — | 20.6% |
| LMCA | 22.1% | — |
| Surface Evolver Bench | 25% | — |
| Epoch Capabilities Index | 139.93 | — |
| LiveBench | — | 22.1% |
Math gpt-oss-120b leads
gpt-oss-120b: 52.5 (#50), OLMo 2 Furious 13B: 23.1 (#273)
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| Omni-MATH | 68.8% | 15.6% |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| LiveBench Math | — | 13.6% |
| LMArena Math | 1389 | — |
Knowledge gpt-oss-120b leads
gpt-oss-120b: 42.4 (#96), OLMo 2 Furious 13B: 18.3 (#283)
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| MMLU-Pro | 79.5% | 31% |
| GPQA (HELM) | 68.4% | 31.6% |
| GPQA Diamond | 75.8% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| LMArena Expert | 1356 | — |
Multilingual Not comparable
gpt-oss-120b: 48.0 (#147), OLMo 2 Furious 13B: —
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| LMArena Non-English | 1351 | — |
| LMArena Chinese | 1385 | — |
| LMArena French | 1369 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1331 | — |
| LMArena Korean | 1282 | — |
| LMArena Russian | 1343 | — |
| LMArena Spanish | 1389 | — |
Instruction Following gpt-oss-120b leads
gpt-oss-120b: 69.3 (#173), OLMo 2 Furious 13B: 60.9 (#248)
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| IFEval | 83.6% | 73% |
| LiveBench Instruction Following | — | 60.6% |
| LMArena Instruction Following | 1318 | — |
Long Context Not comparable
gpt-oss-120b: 31.4 (#278), OLMo 2 Furious 13B: —
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1319 | — |
Writing & Preference gpt-oss-120b leads
gpt-oss-120b: 46.5 (#217), OLMo 2 Furious 13B: 42.9 (#230)
| Benchmark | gpt-oss-120b | OLMo 2 Furious 13B |
|---|---|---|
| WildBench | 84.5% | 68.9% |
| LMArena Text | 1365 | — |
| LMArena Creative Writing | 1275 | — |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
| LMArena Multi-Turn | 1340 | — |
| LiveBench Language | — | 11.2% |
Frequently asked questions
Is gpt-oss-120b better than OLMo 2 Furious 13B?
gpt-oss-120b is the stronger model overall, scoring 36.3 to 29.7 on the Noometry Index.
Is gpt-oss-120b or OLMo 2 Furious 13B better for coding?
gpt-oss-120b scores higher on coding benchmarks: 33.5 versus 28.6 in the Noometry coding category.
How many benchmarks do gpt-oss-120b and OLMo 2 Furious 13B share?
5 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and OLMo 2 Furious 13B has 12.