Model comparison
Gemini 3 Pro vs GPT-5 Nano
Gemini 3 Pro is the stronger model overall, scoring 54.8 to 33.5 on the Noometry Index.
Last verified . 41 shared benchmarks.
Summary
- They share 41 benchmarks with published results for both. Gemini 3 Pro scores higher in 10 categories and GPT-5 Nano in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3 Pro leads 52.5 to 16.3.
- The biggest single-benchmark swing is ARC-AGI-1: 75% for Gemini 3 Pro and 20.7% for GPT-5 Nano.
Side by side
| Gemini 3 Pro | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 54.8 | 33.5 |
| Released | 2025-11-18 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 67 | 49 |
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Category by category
Coding Gemini 3 Pro leads
Gemini 3 Pro: 51.6 (#39), GPT-5 Nano: 33.6 (#254)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| SWE-bench Verified (bash only) | 74.2% | 34.8% |
| WeirdML | 69.9% | 38.1% |
| LMArena Coding | 1481 | 1351 |
| ALE-Bench | 1,177 | 718.67 |
| SWE-bench Verified | 72.9% | — |
| LMArena WebDev | 1440 | — |
| SWE-bench Multilingual | 68.7% | — |
| GSO | 18.6% | — |
| AlgoTune | 1.83 | — |
Agentic & Tool Use Gemini 3 Pro leads
Gemini 3 Pro: 40.6 (#23), GPT-5 Nano: 25.8 (#106)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | 69.4% | 21.8% |
| Berkeley Function Calling Leaderboard | 72.5% | 51.5% |
| GDPval | 40.3% | — |
| Remote Labor Index | 1.3% | — |
| τ²-bench Airline | 80.5% | — |
| τ²-bench Banking | 18% | — |
| τ²-bench Retail | 75.9% | — |
| τ²-bench Telecom | 91% | — |
| DeepResearch Bench | 46.3% | — |
| BALROG | 58.1% | — |
| LMArena Search | 1207 | — |
| METR Time Horizons | 71% | — |
| Vending-Bench 2 | 5,478 | — |
Reasoning Gemini 3 Pro leads
Gemini 3 Pro: 52.5 (#31), GPT-5 Nano: 16.3 (#306)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| ARC-AGI-2 | 31.1% | 2.6% |
| Kagi LLM Benchmark | 80.1% | 62.2% |
| ARC-AGI-1 | 75% | 20.7% |
| Chess Puzzles | 31% | 27% |
| LMArena Hard Prompts | 1480 | 1328 |
| Epoch Capabilities Index | 152.92 | 139.38 |
| ForecastBench | 61.2 | 59.1 |
| SimpleBench | 76.4% | — |
| NYT Connections (extended) | 94.4% | — |
| CritPt | 6.9% | — |
| EnigmaEval | 18.2% | — |
| Mystery Game Puzzles | — | 9% |
| DTBench | — | 62.7% |
| LMCA | — | 7.9% |
Math Gemini 3 Pro leads
Gemini 3 Pro: 49.9 (#59), GPT-5 Nano: 29.4 (#241)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.4% | 81.1% |
| ProofBench | 20% | 12% |
| Omni-MATH | 55.5% | 54.6% |
| LMArena Math | 1476 | 1317 |
| FrontierMath (Feb 2025 set) | 37.6% | 8.3% |
| FrontierMath Tier 4 (v1) | 18.8% | 2.1% |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| MathArena Final-Answer Competitions | 67% | — |
| MATH Level 5 | — | 95.2% |
Knowledge Gemini 3 Pro leads
Gemini 3 Pro: 64.4 (#16), GPT-5 Nano: 35.9 (#178)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 92.6% | 69.4% |
| MMLU-Pro | 90.3% | 77.8% |
| Vectara Hallucination Rate | 13.6% | 10.5% |
| GPQA (HELM) | 80.3% | 67.9% |
| LMArena Expert | 1475 | 1321 |
| Humanity's Last Exam | 37.5% | — |
| SimpleQA Verified | — | 11.7% |
Multimodal Gemini 3 Pro leads
Gemini 3 Pro: 57.6 (#2), GPT-5 Nano: 31.3 (#108)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| LMArena Vision | 1305 | 1159 |
| VPCT | 91% | 37.2% |
| GeoBench | 84% | — |
| LMArena Document | 1434 | — |
Multilingual Gemini 3 Pro leads
Gemini 3 Pro: 56.9 (#16), GPT-5 Nano: 45.3 (#172)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1474 | 1313 |
| LMArena Chinese | 1523 | 1356 |
| LMArena German | 1515 | 1327 |
| LMArena Japanese | 1510 | 1226 |
| LMArena Korean | 1448 | 1269 |
| LMArena Russian | 1493 | 1296 |
| LMArena Spanish | 1470 | 1360 |
| LMArena French | 1492 | — |
Instruction Following Gemini 3 Pro leads
Gemini 3 Pro: 76.3 (#45), GPT-5 Nano: 75.0 (#79)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| IFEval | 87.7% | 93.2% |
| LMArena Instruction Following | 1458 | 1306 |
Long Context Gemini 3 Pro leads
Gemini 3 Pro: 44.0 (#79), GPT-5 Nano: 31.3 (#281)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| LMArena Longer Query | 1471 | 1312 |
| Fiction.LiveBench | — | 44.4% |
| CL-bench | 15.8% | — |
Writing & Preference Gemini 3 Pro leads
Gemini 3 Pro: 66.4 (#35), GPT-5 Nano: 39.1 (#249)
| Benchmark | Gemini 3 Pro | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1479 | 1320 |
| LMArena Creative Writing | 1482 | 1249 |
| EQ-Bench Creative Writing | 1525 | 705 |
| WildBench | 85.9% | 80.6% |
| LMArena Multi-Turn | 1484 | 1311 |
Frequently asked questions
Is Gemini 3 Pro better than GPT-5 Nano?
Gemini 3 Pro is the stronger model overall, scoring 54.8 to 33.5 on the Noometry Index.
Is Gemini 3 Pro or GPT-5 Nano better for coding?
Gemini 3 Pro scores higher on coding benchmarks: 51.6 versus 33.6 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and GPT-5 Nano share?
41 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and GPT-5 Nano has 49.