Model comparison
gpt-oss-20b vs Olmo 3.1 32b Think
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 32.5 on the Noometry Index.
Last verified . 14 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 14 benchmarks with published results for both. gpt-oss-20b scores higher in 2 categories and Olmo 3.1 32b Think in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Olmo 3.1 32b Think leads 46.2 to 35.5.
Side by side
| gpt-oss-20b | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 32.5 | 37.9 |
| Released | 2025-08-05 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.018 | — |
| Output $ / M tokens | $0.09 | — |
| Results tracked | 34 | 15 |
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Category by category
Coding Too close to call
gpt-oss-20b: 37.6 (#192), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1306 | 1291 |
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), Olmo 3.1 32b Think: —
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning Olmo 3.1 32b Think leads
gpt-oss-20b: 19.3 (#261), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1274 | 1272 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.82 | — |
Math gpt-oss-20b leads
gpt-oss-20b: 39.4 (#103), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1317 | 1305 |
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
Knowledge Olmo 3.1 32b Think leads
gpt-oss-20b: 34.6 (#195), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1258 | 1295 |
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
Multilingual gpt-oss-20b leads
gpt-oss-20b: 42.2 (#197), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1268 | 1209 |
| LMArena Chinese | 1314 | 1242 |
| LMArena German | 1255 | 1262 |
| LMArena Russian | 1278 | 1193 |
| LMArena Spanish | 1267 | 1289 |
| LMArena French | — | 1260 |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1236 | — |
Instruction Following Olmo 3.1 32b Think leads
gpt-oss-20b: 61.8 (#240), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1236 | 1247 |
| IFEval | 73.2% | — |
Long Context Too close to call
gpt-oss-20b: 37.9 (#209), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1250 | 1272 |
Writing & Preference Olmo 3.1 32b Think leads
gpt-oss-20b: 35.5 (#265), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | gpt-oss-20b | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1287 | 1272 |
| LMArena Creative Writing | 1201 | 1226 |
| LMArena Multi-Turn | 1268 | 1252 |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
Frequently asked questions
Is gpt-oss-20b better than Olmo 3.1 32b Think?
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 32.5 on the Noometry Index.
Is gpt-oss-20b or Olmo 3.1 32b Think better for coding?
They score almost the same on coding (37.6 vs 37.7); test both on your own repository before choosing.
How many benchmarks do gpt-oss-20b and Olmo 3.1 32b Think share?
14 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Olmo 3.1 32b Think has 15.