Model comparison
Gemini 3.1 Pro Preview vs gpt-oss-20b
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 32.5 on the Noometry Index. gpt-oss-20b costs 125× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Last verified . 28 shared benchmarks.
Summary
- They share 28 benchmarks with published results for both. Gemini 3.1 Pro Preview scores higher in 9 categories and gpt-oss-20b in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 19.3.
- The biggest single-benchmark swing is Terminal-Bench: 80.2% for Gemini 3.1 Pro Preview and 3.4% for gpt-oss-20b.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
- Gemini 3.1 Pro Preview accepts more context: 1.05M tokens versus 131K.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.1 Pro Preview | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 56.7 | 32.5 |
| Released | 2026-02-19 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 131K |
| Max output | 66K | 16K |
| Input $ / M tokens | $2 | $0.018 |
| Output $ / M tokens | $12 | $0.09 |
| Results tracked | 71 | 34 |
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Category by category
Coding Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 42.5 (#99), gpt-oss-20b: 37.6 (#192)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| SciCode | 58.9% | 34.4% |
| WeirdML | 72.1% | 40.9% |
| LMArena Coding | 1484 | 1306 |
| ALE-Bench | 1,161 | 566.05 |
| SWE-bench Verified | 75.6% | — |
| DeepSWE | 11.7% | — |
| LMArena WebDev | 1447 | — |
| GSO | 22.6% | — |
| MirrorCode | 8.9% | — |
| AlgoTune | 2.02 | — |
Agentic & Tool Use Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 37.7 (#34), gpt-oss-20b: 9.3 (#154)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | 80.2% | 3.4% |
| APEX-Agents | 35.3% | — |
| τ²-bench Banking | 26% | — |
| DeepResearch Bench | 47.8% | — |
| PostTrainBench | 22% | — |
| BALROG | 57% | — |
| ExploitBench | 26.1% | — |
| GBAEval | 0.8% | — |
| GDP.pdf | 17% | — |
| LMArena Search | 1211 | — |
| METR Time Horizons | 77% | — |
| Vending-Bench 2 | 3,774 | — |
Reasoning Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.7 (#12), gpt-oss-20b: 19.3 (#261)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| CritPt | 17.7% | 1.4% |
| Chess Puzzles | 55% | 4% |
| LMArena Hard Prompts | 1485 | 1274 |
| DTBench | 97.1% | 68% |
| LMCA | 53.8% | 14.5% |
| Epoch Capabilities Index | 154.77 | 137.82 |
| ARC-AGI-2 | 77.1% | — |
| SimpleBench | 79.6% | — |
| Kagi LLM Benchmark | — | 53.2% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | 98% | — |
| EnigmaEval | 36.8% | — |
| Thematic Generalization | 79.4% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 34% | — |
| ForecastBench | 59 | — |
Math Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 62.1 (#34), gpt-oss-20b: 39.4 (#103)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 65.3% |
| LMArena Math | 1485 | 1317 |
| FrontierMath (Tiers 1-3) | 59.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 86.5% | — |
| ProofBench | 26% | — |
| Omni-MATH | — | 56.5% |
| FrontierMath (Feb 2025 set) | 36.9% | — |
| FrontierMath Tier 4 (v1) | 16.7% | — |
Knowledge Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 71.8 (#3), gpt-oss-20b: 34.6 (#195)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | 94.4% | 60.8% |
| LMArena Expert | 1485 | 1258 |
| Humanity's Last Exam | 46.4% | — |
| SimpleQA Verified | 73.5% | — |
| MMLU-Pro | — | 74% |
| Vectara Hallucination Rate | 10.4% | — |
| GPQA (HELM) | — | 59.4% |
Multimodal Not comparable
Gemini 3.1 Pro Preview: 37.9 (#69), gpt-oss-20b: —
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| LMArena Vision | 1296 | — |
| Blueprint-Bench 2 | 26.5% | — |
| Furniture Assembly | 26.7% | — |
| LMArena Document | 1444 | — |
Multilingual Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 57.0 (#12), gpt-oss-20b: 42.2 (#197)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1477 | 1268 |
| LMArena Chinese | 1529 | 1314 |
| LMArena German | 1491 | 1255 |
| LMArena Japanese | 1493 | 1244 |
| LMArena Korean | 1455 | 1236 |
| LMArena Russian | 1498 | 1278 |
| LMArena Spanish | 1479 | 1267 |
| LMArena French | 1487 | — |
Instruction Following Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 77.0 (#32), gpt-oss-20b: 61.8 (#240)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1466 | 1236 |
| IFEval | — | 73.2% |
Long Context Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 47.4 (#18), gpt-oss-20b: 37.9 (#209)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1483 | 1250 |
| CL-bench | 20.8% | — |
| CL-bench Life | 16.9% | — |
Writing & Preference Gemini 3.1 Pro Preview leads
Gemini 3.1 Pro Preview: 66.1 (#37), gpt-oss-20b: 35.5 (#265)
| Benchmark | Gemini 3.1 Pro Preview | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1481 | 1287 |
| LMArena Creative Writing | 1482 | 1201 |
| EQ-Bench Creative Writing | 1491 | 666 |
| LMArena Multi-Turn | 1488 | 1268 |
| WildBench | — | 73.7% |
| EQ-Bench 4 | 1142 | — |
Frequently asked questions
Is Gemini 3.1 Pro Preview better than gpt-oss-20b?
Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 32.5 on the Noometry Index. gpt-oss-20b costs 125× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.1 Pro Preview or gpt-oss-20b?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.
Is Gemini 3.1 Pro Preview or gpt-oss-20b better for coding?
Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 37.6 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.1 Pro Preview does, with 1.05M tokens against 131K.
How many benchmarks do Gemini 3.1 Pro Preview and gpt-oss-20b share?
28 benchmarks have published results for both models. Gemini 3.1 Pro Preview has 71 scored results on Noometry and gpt-oss-20b has 34.