Model comparison
Gemini 1.5 Flash (May 2024) vs gpt-oss-20b
Gemini 1.5 Flash (May 2024) and gpt-oss-20b score almost the same on the Noometry Index (33.2 vs 32.5), so choose on price, context window or the category you care about most.
Last verified . 26 shared benchmarks.
GoogleSummary
- They share 26 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 6 categories and gpt-oss-20b in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-20b leads 39.4 to 22.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 65.3% for gpt-oss-20b.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Flash (May 2024) | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 33.2 | 32.5 |
| Released | 2024-05-14 | 2025-08-05 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.018 |
| Output $ / M tokens | — | $0.09 |
| Results tracked | 42 | 34 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding gpt-oss-20b leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), gpt-oss-20b: 37.6 (#192)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| WeirdML | 24.9% | 40.9% |
| LMArena Coding | 1261 | 1306 |
| SciCode | — | 34.4% |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 566.05 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.6 (#102), gpt-oss-20b: 9.3 (#154)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), gpt-oss-20b: 19.3 (#261)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1274 |
| DTBench | 53.8% | 68% |
| Epoch Capabilities Index | 129.36 | 137.82 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| LMCA | — | 14.5% |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math gpt-oss-20b leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), gpt-oss-20b: 39.4 (#103)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 65.3% |
| Omni-MATH | 30.4% | 56.5% |
| LMArena Math | 1269 | 1317 |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge gpt-oss-20b leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), gpt-oss-20b: 34.6 (#195)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | 47.3% | 60.8% |
| MMLU-Pro | 67.8% | 74% |
| GPQA (HELM) | 43.7% | 59.4% |
| LMArena Expert | 1233 | 1258 |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 36.0 (#81), gpt-oss-20b: —
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Too close to call
Gemini 1.5 Flash (May 2024): 42.9 (#189), gpt-oss-20b: 42.2 (#197)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1278 | 1268 |
| LMArena Chinese | 1295 | 1314 |
| LMArena German | 1262 | 1255 |
| LMArena Japanese | 1252 | 1244 |
| LMArena Korean | 1221 | 1236 |
| LMArena Russian | 1288 | 1278 |
| LMArena Spanish | 1243 | 1267 |
| LMArena French | 1258 | — |
Instruction Following Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 66.8 (#205), gpt-oss-20b: 61.8 (#240)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| IFEval | 83.1% | 73.2% |
| LMArena Instruction Following | 1258 | 1236 |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), gpt-oss-20b: 37.9 (#209)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1284 | 1250 |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), gpt-oss-20b: 35.5 (#265)
| Benchmark | Gemini 1.5 Flash (May 2024) | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1287 | 1287 |
| LMArena Creative Writing | 1285 | 1201 |
| WildBench | 79.2% | 73.7% |
| LMArena Multi-Turn | 1253 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than gpt-oss-20b?
Gemini 1.5 Flash (May 2024) and gpt-oss-20b score almost the same on the Noometry Index (33.2 vs 32.5), so choose on price, context window or the category you care about most.
Is Gemini 1.5 Flash (May 2024) or gpt-oss-20b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 34.4 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and gpt-oss-20b share?
26 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and gpt-oss-20b has 34.