Model comparison
Gemini 1.5 Pro (May 2024) vs GPT-4.1 nano
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 31.9 to 27.7 on the Noometry Index.
Last verified . 27 shared benchmarks.
GoogleSummary
- They share 27 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 8 categories and GPT-4.1 nano in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in long context, where Gemini 1.5 Pro (May 2024) leads 39.7 to 23.7.
- The biggest single-benchmark swing is MMLU-Pro: 73.7% for Gemini 1.5 Pro (May 2024) and 55% for GPT-4.1 nano.
Side by side
| Gemini 1.5 Pro (May 2024) | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 31.9 | 27.7 |
| Released | 2024-02-15 | 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 | 45 | 38 |
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Category by category
Coding Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 33.8 (#239), GPT-4.1 nano: 23.8 (#325)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| WeirdML | 22.2% | 19% |
| LMArena Coding | 1294 | 1306 |
| Aider Polyglot | — | 8.9% |
| SciCode | — | 25.9% |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use GPT-4.1 nano leads
Gemini 1.5 Pro (May 2024): 17.8 (#137), GPT-4.1 nano: 26.3 (#98)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 12.3 (#332), GPT-4.1 nano: 8.6 (#344)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| ARC-AGI-2 | 0.8% | 0% |
| LMArena Hard Prompts | 1296 | 1286 |
| DTBench | 59% | 52.5% |
| Epoch Capabilities Index | 131.73 | 129.62 |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 33.3% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| LMCA | — | 5.5% |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math GPT-4.1 nano leads
Gemini 1.5 Pro (May 2024): 24.4 (#260), GPT-4.1 nano: 25.5 (#246)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 28.9% |
| Omni-MATH | 36.4% | 36.7% |
| LMArena Math | 1315 | 1274 |
| MATH Level 5 | 70.4% | 70% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 29.3 (#228), GPT-4.1 nano: 21.8 (#268)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | 57.2% | 48.9% |
| MMLU-Pro | 73.7% | 55% |
| GPQA (HELM) | 53.4% | 50.7% |
| LMArena Expert | 1279 | 1272 |
| Humanity's Last Exam | 4.6% | — |
| SimpleQA Verified | — | 6% |
| Confabulations | 13.5% | — |
| MMLU | 86.9% | — |
Multimodal Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 36.2 (#72), GPT-4.1 nano: 28.6 (#108)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | 1161 | 1063 |
| Video-MME | 75% | — |
Multilingual Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 45.5 (#169), GPT-4.1 nano: 41.8 (#200)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | 1312 | 1260 |
| LMArena Chinese | 1331 | 1270 |
| LMArena German | 1286 | 1288 |
| LMArena Japanese | 1292 | 1199 |
| LMArena Russian | 1320 | 1261 |
| LMArena French | 1301 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1310 | — |
Instruction Following Too close to call
Gemini 1.5 Pro (May 2024): 68.8 (#180), GPT-4.1 nano: 68.0 (#188)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| IFEval | 83.7% | 84.3% |
| LMArena Instruction Following | 1297 | 1267 |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.7 (#164), GPT-4.1 nano: 23.7 (#291)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Longer Query | 1308 | 1283 |
| Fiction.LiveBench | — | 25% |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.5 (#167), GPT-4.1 nano: 40.7 (#238)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-4.1 nano |
|---|---|---|
| LMArena Text | 1319 | 1285 |
| LMArena Creative Writing | 1333 | 1260 |
| WildBench | 81.3% | 81.2% |
| LMArena Multi-Turn | 1296 | 1277 |
| EQ-Bench Creative Writing | — | 946 |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than GPT-4.1 nano?
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 31.9 to 27.7 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or GPT-4.1 nano better for coding?
Gemini 1.5 Pro (May 2024) scores higher on coding benchmarks: 33.8 versus 23.8 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and GPT-4.1 nano share?
27 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GPT-4.1 nano has 38.