Model comparison
Gemini 2.0 Pro vs GPT-4.1 nano
Gemini 2.0 Pro is the stronger model overall, scoring 38.6 to 27.7 on the Noometry Index.
Last verified . 5 shared benchmarks.
GoogleSummary
- They share 5 benchmarks with published results for both. Gemini 2.0 Pro scores higher in 7 categories and GPT-4.1 nano in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.0 Pro leads 36.5 to 21.8.
- The biggest single-benchmark swing is Aider Polyglot: 35.6% for Gemini 2.0 Pro and 8.9% for GPT-4.1 nano.
Side by side
| Gemini 2.0 Pro | GPT-4.1 nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 38.6 | 27.7 |
| Released | 2025-02-05 | 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 | 14 | 38 |
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Category by category
Coding Gemini 2.0 Pro leads
Gemini 2.0 Pro: 37.4 (#182), GPT-4.1 nano: 23.8 (#325)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| Aider Polyglot | 35.6% | 8.9% |
| SciCode | — | 25.9% |
| WeirdML | — | 19% |
| LiveBench Coding | 63.5% | — |
| LMArena Coding | — | 1306 |
Agentic & Tool Use Not comparable
Gemini 2.0 Pro: —, GPT-4.1 nano: 26.3 (#98)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 33% |
Reasoning Gemini 2.0 Pro leads
Gemini 2.0 Pro: 21.6 (#194), GPT-4.1 nano: 8.6 (#344)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| Epoch Capabilities Index | 135.06 | 129.62 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 33.3% |
| ARC-AGI-1 | — | 0% |
| CritPt | — | 0% |
| EnigmaEval | 0.7% | — |
| LiveBench Reasoning | 60.1% | — |
| LMArena Hard Prompts | — | 1286 |
| DTBench | — | 52.5% |
| LiveBench Data Analysis | 68% | — |
| LMCA | — | 5.5% |
| LiveBench | 65.1% | — |
Math Gemini 2.0 Pro leads
Gemini 2.0 Pro: 37.1 (#101), GPT-4.1 nano: 25.5 (#246)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| MATH Level 5 | 83.5% | 70% |
| OTIS Mock AIME 2024-2025 | — | 28.9% |
| Omni-MATH | — | 36.7% |
| LiveBench Math | 71% | — |
| LMArena Math | — | 1274 |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge Gemini 2.0 Pro leads
Gemini 2.0 Pro: 36.5 (#156), GPT-4.1 nano: 21.8 (#268)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| GPQA Diamond | 65.7% | 48.9% |
| SimpleQA Verified | — | 6% |
| MMLU-Pro | — | 55% |
| Confabulations | 18.4% | — |
| GPQA (HELM) | — | 50.7% |
| LMArena Expert | — | 1272 |
Multimodal Not comparable
Gemini 2.0 Pro: —, GPT-4.1 nano: 28.6 (#108)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| LMArena Vision | — | 1063 |
Multilingual Not comparable
Gemini 2.0 Pro: —, GPT-4.1 nano: 41.8 (#200)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| LMArena Non-English | — | 1260 |
| LMArena Chinese | — | 1270 |
| LMArena German | — | 1288 |
| LMArena Japanese | — | 1199 |
| LMArena Russian | — | 1261 |
Instruction Following Gemini 2.0 Pro leads
Gemini 2.0 Pro: 75.6 (#57), GPT-4.1 nano: 68.0 (#188)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| LiveBench Instruction Following | 83.4% | — |
| IFEval | — | 84.3% |
| LMArena Instruction Following | — | 1267 |
Long Context Gemini 2.0 Pro leads
Gemini 2.0 Pro: 29.1 (#287), GPT-4.1 nano: 23.7 (#291)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| Fiction.LiveBench | 41.7% | 25% |
| LMArena Longer Query | — | 1283 |
Writing & Preference Gemini 2.0 Pro leads
Gemini 2.0 Pro: 52.7 (#164), GPT-4.1 nano: 40.7 (#238)
| Benchmark | Gemini 2.0 Pro | GPT-4.1 nano |
|---|---|---|
| LMArena Text | — | 1285 |
| LMArena Creative Writing | — | 1260 |
| EQ-Bench Creative Writing | — | 946 |
| WildBench | — | 81.2% |
| LMArena Multi-Turn | — | 1277 |
| LiveBench Language | 44.9% | — |
Frequently asked questions
Is Gemini 2.0 Pro better than GPT-4.1 nano?
Gemini 2.0 Pro is the stronger model overall, scoring 38.6 to 27.7 on the Noometry Index.
Is Gemini 2.0 Pro or GPT-4.1 nano better for coding?
Gemini 2.0 Pro scores higher on coding benchmarks: 37.4 versus 23.8 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Pro and GPT-4.1 nano share?
5 benchmarks have published results for both models. Gemini 2.0 Pro has 14 scored results on Noometry and GPT-4.1 nano has 38.