Model comparison
Gemini 2.0 Flash (Feb 2025) vs GPT-4.1 nano
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 27.7 on the Noometry Index.
Last verified . 32 shared benchmarks.
GoogleSummary
- They share 32 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 10 categories and GPT-4.1 nano in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 2.0 Flash (Feb 2025) leads 38.1 to 23.7.
- The biggest single-benchmark swing is Fiction.LiveBench: 61.1% for Gemini 2.0 Flash (Feb 2025) and 25% for GPT-4.1 nano.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 34.8 | 27.7 |
| Released | 2024-12-06 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 54 | 38 |
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Category by category
Coding Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.2 (#308), GPT-4.1 nano: 23.8 (#325)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| Aider Polyglot | 38.2% | 8.9% |
| WeirdML | 25.8% | 19% |
| LMArena Coding | 1351 | 1306 |
| SWE-bench Verified (bash only) | 13.5% | — |
| SciCode | — | 25.9% |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.0 (#85), GPT-4.1 nano: 26.3 (#98)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |
| TheAgentCompany | 11.4% | — |
Reasoning Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#308), GPT-4.1 nano: 8.6 (#344)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| ARC-AGI-2 | 1.3% | 0% |
| Kagi LLM Benchmark | 37.8% | 33.3% |
| LMArena Hard Prompts | 1346 | 1286 |
| DTBench | 63.2% | 52.5% |
| Epoch Capabilities Index | 135.36 | 129.62 |
| SimpleBench | 31.1% | — |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 5.5% |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 36.1 (#127), GPT-4.1 nano: 25.5 (#246)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 28.9% |
| Omni-MATH | 45.9% | 36.7% |
| LMArena Math | 1351 | 1274 |
| MATH Level 5 | 82.2% | 70% |
| FrontierMath (Feb 2025 set) | 1.7% | 1% |
| LiveBench Math | 75.8% | — |
Knowledge Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#207), GPT-4.1 nano: 21.8 (#268)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | 64.1% | 48.9% |
| MMLU-Pro | 73.7% | 55% |
| GPQA (HELM) | 55.6% | 50.7% |
| LMArena Expert | 1340 | 1272 |
| Humanity's Last Exam | 6.6% | — |
| SimpleQA Verified | — | 6% |
| Confabulations | 12.4% | — |
| MMLU | 79.7% | — |
Multimodal Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 35.9 (#74), GPT-4.1 nano: 28.6 (#108)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | 1158 | 1063 |
| GeoBench | 77% | — |
Multilingual Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 47.6 (#144), GPT-4.1 nano: 41.8 (#200)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 1342 | 1260 |
| LMArena Chinese | 1373 | 1270 |
| LMArena German | 1354 | 1288 |
| LMArena Japanese | 1293 | 1199 |
| LMArena Russian | 1351 | 1261 |
| LMArena French | 1390 | — |
| LMArena Korean | 1314 | — |
| LMArena Spanish | 1363 | — |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.6 (#91), GPT-4.1 nano: 68.0 (#188)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| IFEval | 84.1% | 84.3% |
| LMArena Instruction Following | 1336 | 1267 |
| LiveBench Instruction Following | 85.8% | — |
Long Context Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#198), GPT-4.1 nano: 23.7 (#291)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| Fiction.LiveBench | 61.1% | 25% |
| LMArena Longer Query | 1345 | 1283 |
Writing & Preference Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 49.8 (#184), GPT-4.1 nano: 40.7 (#238)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1354 | 1285 |
| LMArena Creative Writing | 1340 | 1260 |
| EQ-Bench Creative Writing | 1128 | 946 |
| WildBench | 80% | 81.2% |
| LMArena Multi-Turn | 1350 | 1277 |
| Short-Story Creative Writing | 73.8% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GPT-4.1 nano?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 34.8 to 27.7 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GPT-4.1 nano better for coding?
Gemini 2.0 Flash (Feb 2025) scores higher on coding benchmarks: 28.2 versus 23.8 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-4.1 nano share?
32 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-4.1 nano has 38.