Model comparison
Gemini 1.5 Pro (May 2024) vs GPT-5 Nano
GPT-5 Nano is the stronger model overall, scoring 33.5 to 32.1 on the Noometry Index.
Last verified . 30 shared benchmarks.
GoogleSummary
- They share 30 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 4 categories and GPT-5 Nano in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Pro (May 2024) leads 52.4 to 39.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 81.1% for GPT-5 Nano.
Side by side
| Gemini 1.5 Pro (May 2024) | GPT-5 Nano | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 32.1 | 33.5 |
| Released | 2024-02-15 | 2025-08-07 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 45 | 49 |
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Category by category
Coding Too close to call
Gemini 1.5 Pro (May 2024): 34.2 (#241), GPT-5 Nano: 33.6 (#254)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| WeirdML | 22.2% | 38.1% |
| LMArena Coding | 1294 | 1351 |
| SWE-bench Verified (bash only) | — | 34.8% |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 718.67 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use GPT-5 Nano leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), GPT-5 Nano: 25.8 (#106)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| Terminal-Bench | — | 21.8% |
| Berkeley Function Calling Leaderboard | — | 51.5% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning GPT-5 Nano leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), GPT-5 Nano: 16.3 (#306)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| ARC-AGI-2 | 0.8% | 2.6% |
| LMArena Hard Prompts | 1296 | 1328 |
| DTBench | 59% | 62.7% |
| Epoch Capabilities Index | 131.73 | 139.38 |
| ForecastBench | 58.4 | 59.1 |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 62.2% |
| ARC-AGI-1 | — | 20.7% |
| Chess Puzzles | — | 27% |
| Mystery Game Puzzles | — | 9% |
| LMCA | — | 7.9% |
| BIG-Bench Hard | 89.2% | — |
Math GPT-5 Nano leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), GPT-5 Nano: 29.4 (#241)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 81.1% |
| Omni-MATH | 36.4% | 54.6% |
| LMArena Math | 1315 | 1317 |
| MATH Level 5 | 70.4% | 95.2% |
| FrontierMath (Tiers 1-3) | — | 20% |
| FrontierMath Tier 4 | — | 2.4% |
| ProofBench | — | 12% |
| FrontierMath (Feb 2025 set) | — | 8.3% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-5 Nano leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), GPT-5 Nano: 35.9 (#178)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| GPQA Diamond | 57.2% | 69.4% |
| MMLU-Pro | 73.7% | 77.8% |
| GPQA (HELM) | 53.4% | 67.9% |
| LMArena Expert | 1279 | 1321 |
| Humanity's Last Exam | 4.6% | — |
| SimpleQA Verified | — | 11.7% |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 10.5% |
| MMLU | 86.9% | — |
Multimodal Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 36.8 (#77), GPT-5 Nano: 31.3 (#108)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Vision | 1161 | 1159 |
| Video-MME | 75% | — |
| VPCT | — | 37.2% |
Multilingual Too close to call
Gemini 1.5 Pro (May 2024): 45.3 (#174), GPT-5 Nano: 45.3 (#172)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Non-English | 1312 | 1313 |
| LMArena Chinese | 1331 | 1356 |
| LMArena German | 1286 | 1327 |
| LMArena Japanese | 1292 | 1226 |
| LMArena Korean | 1298 | 1269 |
| LMArena Russian | 1320 | 1296 |
| LMArena Spanish | 1311 | 1360 |
| LMArena French | 1302 | — |
Instruction Following GPT-5 Nano leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), GPT-5 Nano: 75.0 (#79)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| IFEval | 83.7% | 93.2% |
| LMArena Instruction Following | 1297 | 1306 |
Long Context Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), GPT-5 Nano: 31.3 (#281)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Longer Query | 1308 | 1312 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), GPT-5 Nano: 39.1 (#249)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5 Nano |
|---|---|---|
| LMArena Text | 1319 | 1320 |
| LMArena Creative Writing | 1333 | 1249 |
| WildBench | 81.3% | 80.6% |
| LMArena Multi-Turn | 1296 | 1311 |
| EQ-Bench Creative Writing | — | 705 |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than GPT-5 Nano?
GPT-5 Nano is the stronger model overall, scoring 33.5 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or GPT-5 Nano better for coding?
They score almost the same on coding (34.2 vs 33.6); test both on your own repository before choosing.
How many benchmarks do Gemini 1.5 Pro (May 2024) and GPT-5 Nano share?
30 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GPT-5 Nano has 49.