Model comparison
Gemini 2.0 Flash-Lite vs gpt-oss-20b
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 32.5 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Gemini 2.0 Flash-Lite scores higher in 7 categories and gpt-oss-20b in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.0 Flash-Lite leads 51.7 to 35.5.
- The biggest single-benchmark swing is Omni-MATH: 37.4% for Gemini 2.0 Flash-Lite and 56.5% for gpt-oss-20b.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash-Lite | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.8 | 32.5 |
| 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 | 32 | 34 |
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Category by category
Coding Too close to call
Gemini 2.0 Flash-Lite: 37.9 (#185), gpt-oss-20b: 37.6 (#192)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| LMArena Coding | 1322 | 1306 |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| LiveBench Coding | 47.1% | — |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use Not comparable
Gemini 2.0 Flash-Lite: —, gpt-oss-20b: 9.3 (#154)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 22.0 (#210), gpt-oss-20b: 19.3 (#261)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1324 | 1274 |
| DTBench | 52.5% | 68% |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| LiveBench Reasoning | 50.1% | — |
| LiveBench Data Analysis | 65.5% | — |
| LMCA | — | 14.5% |
| Epoch Capabilities Index | — | 137.82 |
| ForecastBench | 57.1 | — |
| LiveBench | 54.3% | — |
Math gpt-oss-20b leads
Gemini 2.0 Flash-Lite: 34.1 (#196), gpt-oss-20b: 39.4 (#103)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| Omni-MATH | 37.4% | 56.5% |
| LMArena Math | 1309 | 1317 |
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| LiveBench Math | 58.1% | — |
Knowledge Too close to call
Gemini 2.0 Flash-Lite: 35.0 (#189), gpt-oss-20b: 34.6 (#195)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| MMLU-Pro | 72% | 74% |
| GPQA (HELM) | 50% | 59.4% |
| LMArena Expert | 1305 | 1258 |
| GPQA Diamond | — | 60.8% |
Multimodal Not comparable
Gemini 2.0 Flash-Lite: 31.2 (#109), gpt-oss-20b: —
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| LMArena Vision | 1100 | — |
Multilingual Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 46.0 (#161), gpt-oss-20b: 42.2 (#197)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1323 | 1268 |
| LMArena Chinese | 1339 | 1314 |
| LMArena German | 1306 | 1255 |
| LMArena Japanese | 1301 | 1244 |
| LMArena Korean | 1325 | 1236 |
| LMArena Russian | 1328 | 1278 |
| LMArena Spanish | 1313 | 1267 |
| LMArena French | 1347 | — |
Instruction Following Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 70.4 (#163), gpt-oss-20b: 61.8 (#240)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| IFEval | 82.4% | 73.2% |
| LMArena Instruction Following | 1305 | 1236 |
| LiveBench Instruction Following | 78.3% | — |
Long Context Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 40.1 (#160), gpt-oss-20b: 37.9 (#209)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1320 | 1250 |
Writing & Preference Gemini 2.0 Flash-Lite leads
Gemini 2.0 Flash-Lite: 51.7 (#177), gpt-oss-20b: 35.5 (#265)
| Benchmark | Gemini 2.0 Flash-Lite | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1330 | 1287 |
| LMArena Creative Writing | 1319 | 1201 |
| WildBench | 79% | 73.7% |
| LMArena Multi-Turn | 1307 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
| LiveBench Language | 34.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash-Lite better than gpt-oss-20b?
Gemini 2.0 Flash-Lite is the stronger model overall, scoring 37.8 to 32.5 on the Noometry Index.
Is Gemini 2.0 Flash-Lite or gpt-oss-20b better for coding?
They score almost the same on coding (37.9 vs 37.6); test both on your own repository before choosing.
How many benchmarks do Gemini 2.0 Flash-Lite and gpt-oss-20b share?
22 benchmarks have published results for both models. Gemini 2.0 Flash-Lite has 32 scored results on Noometry and gpt-oss-20b has 34.