Model comparison
gpt-oss-120b vs Step 3
Step 3 is the stronger model overall, scoring 39.9 to 36.0 on the Noometry Index.
Last verified . 16 shared benchmarks.
StepFunSummary
- They share 16 benchmarks with published results for both. gpt-oss-120b scores higher in 3 categories and Step 3 in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 50.6 to 34.9.
Side by side
| gpt-oss-120b | Step 3 | |
|---|---|---|
| Provider | OpenAI | StepFun |
| Noometry Index | 36.0 | 39.9 |
| 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 | 17 |
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Category by category
Coding Step 3 leads
gpt-oss-120b: 33.2 (#251), Step 3: 39.5 (#144)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| LMArena Coding | 1380 | 1367 |
| 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: 12.1 (#145), Step 3: —
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |
Reasoning Step 3 leads
gpt-oss-120b: 19.5 (#236), Step 3: 27.6 (#102)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| Kagi LLM Benchmark | 58.6% | 62.3% |
| LMArena Hard Prompts | 1364 | 1355 |
| SimpleBench | 22.1% | — |
| 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), Step 3: 34.9 (#148)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| LMArena Math | 1388 | 1366 |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| Omni-MATH | 68.8% | — |
Knowledge gpt-oss-120b leads
gpt-oss-120b: 42.3 (#89), Step 3: 36.2 (#161)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| LMArena Expert | 1356 | 1333 |
| GPQA Diamond | 75.8% | — |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |
Multimodal Not comparable
gpt-oss-120b: —, Step 3: 34.9 (#81)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| LMArena Vision | — | 1176 |
Multilingual gpt-oss-120b leads
gpt-oss-120b: 48.2 (#142), Step 3: 46.5 (#154)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| LMArena Non-English | 1350 | 1327 |
| LMArena Chinese | 1384 | 1396 |
| LMArena German | 1355 | 1371 |
| LMArena Korean | 1283 | 1271 |
| LMArena Russian | 1343 | 1331 |
| LMArena Spanish | 1388 | 1372 |
| LMArena French | 1370 | — |
| LMArena Japanese | 1332 | — |
Instruction Following Step 3 leads
gpt-oss-120b: 69.5 (#168), Step 3: 70.6 (#159)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1318 | 1332 |
| IFEval | 83.6% | — |
Long Context Step 3 leads
gpt-oss-120b: 31.4 (#273), Step 3: 40.3 (#152)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| LMArena Longer Query | 1319 | 1326 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Step 3 leads
gpt-oss-120b: 46.7 (#213), Step 3: 54.5 (#146)
| Benchmark | gpt-oss-120b | Step 3 |
|---|---|---|
| LMArena Text | 1366 | 1351 |
| LMArena Creative Writing | 1274 | 1322 |
| LMArena Multi-Turn | 1340 | 1340 |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
| WildBench | 84.5% | — |
Frequently asked questions
Is gpt-oss-120b better than Step 3?
Step 3 is the stronger model overall, scoring 39.9 to 36.0 on the Noometry Index.
Is gpt-oss-120b or Step 3 better for coding?
Step 3 scores higher on coding benchmarks: 39.5 versus 33.2 in the Noometry coding category.
How many benchmarks do gpt-oss-120b and Step 3 share?
16 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Step 3 has 17.