Model comparison
Gemini 2.0 Flash (Feb 2025) vs GPT-5 Nano
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 33.5 on the Noometry Index.
Last verified . 34 shared benchmarks.
GoogleSummary
- They share 34 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 6 categories and GPT-5 Nano in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 2.0 Flash (Feb 2025) leads 49.5 to 39.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.8% for Gemini 2.0 Flash (Feb 2025) and 62.2% for GPT-5 Nano.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 35.1 | 33.5 |
| Released | 2024-12-06 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 54 | 49 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5 Nano leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), GPT-5 Nano: 33.6 (#254)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| SWE-bench Verified (bash only) | 13.5% | 34.8% |
| WeirdML | 25.8% | 38.1% |
| LMArena Coding | 1350 | 1351 |
| Aider Polyglot | 38.2% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
| ALE-Bench | — | 718.67 |
Agentic & Tool Use Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), GPT-5 Nano: 25.8 (#106)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | — | 21.8% |
| Berkeley Function Calling Leaderboard | — | 51.5% |
| TheAgentCompany | 11.4% | — |
Reasoning GPT-5 Nano leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), GPT-5 Nano: 16.3 (#306)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| ARC-AGI-2 | 1.3% | 2.6% |
| Kagi LLM Benchmark | 37.8% | 62.2% |
| LMArena Hard Prompts | 1346 | 1328 |
| DTBench | 63.2% | 62.7% |
| Epoch Capabilities Index | 135.36 | 139.38 |
| SimpleBench | 31.1% | — |
| ARC-AGI-1 | — | 20.7% |
| Chess Puzzles | — | 27% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 9% |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 7.9% |
| ForecastBench | — | 59.1 |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), GPT-5 Nano: 29.4 (#241)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 81.1% |
| Omni-MATH | 45.9% | 54.6% |
| LMArena Math | 1352 | 1317 |
| MATH Level 5 | 82.2% | 95.2% |
| FrontierMath (Feb 2025 set) | 1.7% | 8.3% |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| ProofBench | — | 12% |
| LiveBench Math | 75.8% | — |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5 Nano leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), GPT-5 Nano: 35.9 (#178)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 64.1% | 69.4% |
| MMLU-Pro | 73.7% | 77.8% |
| GPQA (HELM) | 55.6% | 67.9% |
| LMArena Expert | 1339 | 1321 |
| Humanity's Last Exam | 6.6% | — |
| SimpleQA Verified | — | 11.7% |
| Confabulations | 12.4% | — |
| Vectara Hallucination Rate | — | 10.5% |
| MMLU | 79.7% | — |
Multimodal Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), GPT-5 Nano: 31.3 (#108)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| LMArena Vision | 1158 | 1159 |
| GeoBench | 77% | — |
| VPCT | — | 37.2% |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), GPT-5 Nano: 45.3 (#172)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1342 | 1313 |
| LMArena Chinese | 1373 | 1356 |
| LMArena German | 1353 | 1327 |
| LMArena Japanese | 1294 | 1226 |
| LMArena Korean | 1313 | 1269 |
| LMArena Russian | 1351 | 1296 |
| LMArena Spanish | 1363 | 1360 |
| LMArena French | 1391 | — |
Instruction Following Too close to call
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), GPT-5 Nano: 75.0 (#79)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| IFEval | 84.1% | 93.2% |
| LMArena Instruction Following | 1336 | 1306 |
| LiveBench Instruction Following | 85.8% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), GPT-5 Nano: 31.3 (#281)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| Fiction.LiveBench | 61.1% | 44.4% |
| LMArena Longer Query | 1344 | 1312 |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), GPT-5 Nano: 39.1 (#249)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1354 | 1320 |
| LMArena Creative Writing | 1340 | 1249 |
| EQ-Bench Creative Writing | 1128 | 705 |
| WildBench | 80% | 80.6% |
| LMArena Multi-Turn | 1350 | 1311 |
| Short-Story Creative Writing | 73.8% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GPT-5 Nano?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 33.5 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GPT-5 Nano better for coding?
GPT-5 Nano scores higher on coding benchmarks: 33.6 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-5 Nano share?
34 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-5 Nano has 49.