Model comparison
Gemini 1.5 Flash (May 2024) vs GPT-4.1 nano
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 27.9 on the Noometry Index.
Last verified . 27 shared benchmarks.
GoogleSummary
- They share 27 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 8 categories and GPT-4.1 nano in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 1.5 Flash (May 2024) leads 39.0 to 23.7.
- The biggest single-benchmark swing is MMLU-Pro: 67.8% for Gemini 1.5 Flash (May 2024) and 55% for GPT-4.1 nano.
Side by side
| Gemini 1.5 Flash (May 2024) | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 33.2 | 27.9 |
| Released | 2024-05-14 | 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 | 42 | 38 |
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Category by category
Coding Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 34.4 (#236), GPT-4.1 nano: 24.1 (#330)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| WeirdML | 24.9% | 19% |
| LMArena Coding | 1261 | 1306 |
| Aider Polyglot | — | 8.9% |
| SciCode | — | 25.9% |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Too close to call
Gemini 1.5 Flash (May 2024): 26.6 (#102), GPT-4.1 nano: 26.5 (#104)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |
| BALROG | 14.6% | — |
Reasoning Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 21.7 (#215), GPT-4.1 nano: 8.5 (#349)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1286 |
| DTBench | 53.8% | 52.5% |
| Epoch Capabilities Index | 129.36 | 129.62 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 33.3% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| LMCA | — | 5.5% |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math GPT-4.1 nano leads
Gemini 1.5 Flash (May 2024): 22.1 (#281), GPT-4.1 nano: 26.9 (#252)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 28.9% |
| Omni-MATH | 30.4% | 36.7% |
| LMArena Math | 1269 | 1274 |
| MATH Level 5 | 61.9% | 70% |
| FrontierMath (Feb 2025 set) | 0% | 1% |
| GSM8K | 82.4% | — |
Knowledge Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.2 (#260), GPT-4.1 nano: 21.8 (#273)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | 47.3% | 48.9% |
| MMLU-Pro | 67.8% | 55% |
| GPQA (HELM) | 43.7% | 50.7% |
| LMArena Expert | 1233 | 1272 |
| SimpleQA Verified | — | 6% |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 36.0 (#81), GPT-4.1 nano: 29.2 (#113)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | 1141 | 1063 |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 42.9 (#189), GPT-4.1 nano: 41.6 (#205)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 1278 | 1260 |
| LMArena Chinese | 1295 | 1270 |
| LMArena German | 1262 | 1288 |
| LMArena Japanese | 1252 | 1198 |
| LMArena Russian | 1288 | 1261 |
| LMArena French | 1258 | — |
| LMArena Korean | 1221 | — |
| LMArena Spanish | 1243 | — |
Instruction Following Too close to call
Gemini 1.5 Flash (May 2024): 66.8 (#205), GPT-4.1 nano: 67.8 (#193)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| IFEval | 83.1% | 84.3% |
| LMArena Instruction Following | 1258 | 1267 |
Long Context Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 39.0 (#187), GPT-4.1 nano: 23.7 (#296)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Longer Query | 1284 | 1283 |
| Fiction.LiveBench | — | 25% |
Writing & Preference Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 48.7 (#196), GPT-4.1 nano: 40.5 (#243)
| Benchmark | Gemini 1.5 Flash (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1287 | 1285 |
| LMArena Creative Writing | 1285 | 1260 |
| WildBench | 79.2% | 81.2% |
| LMArena Multi-Turn | 1253 | 1277 |
| EQ-Bench Creative Writing | — | 946 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than GPT-4.1 nano?
Gemini 1.5 Flash (May 2024) is the stronger model overall, scoring 33.2 to 27.9 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or GPT-4.1 nano better for coding?
Gemini 1.5 Flash (May 2024) scores higher on coding benchmarks: 34.4 versus 24.1 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and GPT-4.1 nano share?
27 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and GPT-4.1 nano has 38.