Model comparison
Gemini 2.0 Pro vs gpt-oss-20b
Gemini 2.0 Pro is the stronger model overall, scoring 38.6 to 32.1 on the Noometry Index.
Last verified . 2 shared benchmarks.
GoogleSummary
- They share 2 benchmarks with published results for both. Gemini 2.0 Pro scores higher in 5 categories and gpt-oss-20b in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.0 Pro leads 52.7 to 35.8.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Pro | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 38.6 | 32.1 |
| Released | 2025-02-05 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.018 |
| Output $ / M tokens | — | $0.09 |
| Results tracked | 14 | 34 |
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Category by category
Coding Too close to call
Gemini 2.0 Pro: 37.4 (#182), gpt-oss-20b: 37.1 (#185)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| Aider Polyglot | 35.6% | — |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| LiveBench Coding | 63.5% | — |
| LMArena Coding | — | 1307 |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use Not comparable
Gemini 2.0 Pro: —, gpt-oss-20b: 9.2 (#146)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning Gemini 2.0 Pro leads
Gemini 2.0 Pro: 21.6 (#194), gpt-oss-20b: 18.8 (#251)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| Epoch Capabilities Index | 135.06 | 137.81 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| EnigmaEval | 0.7% | — |
| LiveBench Reasoning | 60.1% | — |
| LMArena Hard Prompts | — | 1274 |
| DTBench | — | 68% |
| LiveBench Data Analysis | 68% | — |
| LMCA | — | 14.5% |
| LiveBench | 65.1% | — |
Math Too close to call
Gemini 2.0 Pro: 37.1 (#101), gpt-oss-20b: 37.6 (#93)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |
| LiveBench Math | 71% | — |
| LMArena Math | — | 1317 |
| MATH Level 5 | 83.5% | — |
Knowledge Gemini 2.0 Pro leads
Gemini 2.0 Pro: 36.5 (#156), gpt-oss-20b: 34.6 (#186)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | 65.7% | 60.8% |
| MMLU-Pro | — | 74% |
| Confabulations | 18.4% | — |
| GPQA (HELM) | — | 59.4% |
| LMArena Expert | — | 1258 |
Multilingual Not comparable
Gemini 2.0 Pro: —, gpt-oss-20b: 42.4 (#192)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | — | 1269 |
| LMArena Chinese | — | 1311 |
| LMArena German | — | 1249 |
| LMArena Japanese | — | 1245 |
| LMArena Korean | — | 1239 |
| LMArena Russian | — | 1279 |
| LMArena Spanish | — | 1267 |
Instruction Following Gemini 2.0 Pro leads
Gemini 2.0 Pro: 75.6 (#57), gpt-oss-20b: 62.0 (#235)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| LiveBench Instruction Following | 83.4% | — |
| IFEval | — | 73.2% |
| LMArena Instruction Following | — | 1236 |
Long Context gpt-oss-20b leads
Gemini 2.0 Pro: 29.1 (#287), gpt-oss-20b: 37.9 (#203)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| Fiction.LiveBench | 41.7% | — |
| LMArena Longer Query | — | 1251 |
Writing & Preference Gemini 2.0 Pro leads
Gemini 2.0 Pro: 52.7 (#164), gpt-oss-20b: 35.8 (#260)
| Benchmark | Gemini 2.0 Pro | gpt-oss-20b |
|---|---|---|
| LMArena Text | — | 1288 |
| LMArena Creative Writing | — | 1201 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
| LMArena Multi-Turn | — | 1268 |
| LiveBench Language | 44.9% | — |
Frequently asked questions
Is Gemini 2.0 Pro better than gpt-oss-20b?
Gemini 2.0 Pro is the stronger model overall, scoring 38.6 to 32.1 on the Noometry Index.
Is Gemini 2.0 Pro or gpt-oss-20b better for coding?
They score almost the same on coding (37.4 vs 37.1); test both on your own repository before choosing.
How many benchmarks do Gemini 2.0 Pro and gpt-oss-20b share?
2 benchmarks have published results for both models. Gemini 2.0 Pro has 14 scored results on Noometry and gpt-oss-20b has 34.