Model comparison
gpt-oss-20b vs o1-pro
gpt-oss-20b and o1-pro score almost the same on the Noometry Index (32.1 vs 31.2), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in knowledge, where gpt-oss-20b leads 34.6 to 29.3.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| gpt-oss-20b | o1-pro | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 32.1 | 31.2 |
| Released | 2025-08-05 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 131K | 200K |
| Max output | 16K | 100K |
| Input $ / M tokens | $0.018 | $150 |
| Output $ / M tokens | $0.09 | $600 |
| Results tracked | 34 | 3 |
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Category by category
Coding Not comparable
gpt-oss-20b: 37.1 (#185), o1-pro: —
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| LMArena Coding | 1307 | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.2 (#146), o1-pro: —
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning o1-pro leads
gpt-oss-20b: 18.8 (#251), o1-pro: 20.2 (#223)
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | — |
| ARC-AGI-1 | — | 23.3% |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1274 | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.81 | — |
Math Not comparable
gpt-oss-20b: 37.6 (#93), o1-pro: —
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| LMArena Math | 1317 | — |
Knowledge gpt-oss-20b leads
gpt-oss-20b: 34.6 (#186), o1-pro: 29.3 (#227)
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| GPQA Diamond | 60.8% | — |
| Humanity's Last Exam | — | 8.1% |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
Multilingual Not comparable
gpt-oss-20b: 42.4 (#192), o1-pro: —
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| LMArena Non-English | 1269 | — |
| LMArena Chinese | 1311 | — |
| LMArena German | 1249 | — |
| LMArena Japanese | 1245 | — |
| LMArena Korean | 1239 | — |
| LMArena Russian | 1279 | — |
| LMArena Spanish | 1267 | — |
Instruction Following Not comparable
gpt-oss-20b: 62.0 (#235), o1-pro: —
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| IFEval | 73.2% | — |
| LMArena Instruction Following | 1236 | — |
Long Context Not comparable
gpt-oss-20b: 37.9 (#203), o1-pro: —
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| LMArena Longer Query | 1251 | — |
Writing & Preference Not comparable
gpt-oss-20b: 35.8 (#260), o1-pro: —
| Benchmark | gpt-oss-20b | o1-pro |
|---|---|---|
| LMArena Text | 1288 | — |
| LMArena Creative Writing | 1201 | — |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
| LMArena Multi-Turn | 1268 | — |
Frequently asked questions
Is gpt-oss-20b better than o1-pro?
gpt-oss-20b and o1-pro score almost the same on the Noometry Index (32.1 vs 31.2), so choose on price, context window or the category you care about most.
Which is cheaper, gpt-oss-20b or o1-pro?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
o1-pro does, with 200K tokens against 131K.
How many benchmarks do gpt-oss-20b and o1-pro share?
0 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and o1-pro has 3.