Model comparison
Gemini 1.5 Pro (May 2024) vs GPT-5.1
GPT-5.1 is the stronger model overall, scoring 49.0 to 32.1 on the Noometry Index.
Last verified . 32 shared benchmarks.
GoogleSummary
- They share 32 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and GPT-5.1 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.1 leads 39.8 to 12.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 88.6% for GPT-5.1.
Side by side
| Gemini 1.5 Pro (May 2024) | GPT-5.1 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 32.1 | 49.0 |
| Released | 2024-02-15 | 2025-11-13 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.25 |
| Output $ / M tokens | — | $10 |
| Results tracked | 45 | 63 |
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Category by category
Coding GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), GPT-5.1: 46.4 (#66)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| WeirdML | 22.2% | 60.8% |
| LMArena Coding | 1294 | 1454 |
| SWE-bench Verified | — | 68% |
| SWE-bench Verified (bash only) | — | 66% |
| LMArena WebDev | — | 1395 |
| SciCode | — | 43.3% |
| GSO | — | 13.7% |
| BigCodeBench Instruct | 43.8% | — |
| LiveBench Coding | — | 72.5% |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 1,192 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), GPT-5.1: 32.7 (#60)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| Terminal-Bench | — | 47.6% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| DeepResearch Bench | — | 42.8% |
| BALROG | 21% | — |
| LMArena Search | — | 1199 |
| Vending-Bench 2 | — | 1,473 |
Reasoning GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), GPT-5.1: 39.8 (#58)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| ARC-AGI-2 | 0.8% | 17.6% |
| SimpleBench | 27.1% | 53.2% |
| LMArena Hard Prompts | 1296 | 1457 |
| DTBench | 59% | 90.1% |
| Epoch Capabilities Index | 131.73 | 149.64 |
| ForecastBench | 58.4 | 58.1 |
| ARC-AGI-1 | — | 72.8% |
| CritPt | — | 4.9% |
| Chess Puzzles | — | 32% |
| EnigmaEval | — | 11.2% |
| LiveBench Reasoning | — | 95.8% |
| Mystery Game Puzzles | — | 19% |
| LiveBench Data Analysis | — | 72.1% |
| LMCA | — | 43.9% |
| BIG-Bench Hard | 89.2% | — |
| LiveBench | — | 78.8% |
Math GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), GPT-5.1: 52.2 (#51)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 88.6% |
| Omni-MATH | 36.4% | 46.4% |
| LMArena Math | 1315 | 1447 |
| LiveBench Math | — | 94.5% |
| MATH Level 5 | 70.4% | — |
| FrontierMath (Feb 2025 set) | — | 31% |
| FrontierMath Tier 4 (v1) | — | 12.5% |
Knowledge GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), GPT-5.1: 50.6 (#71)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| GPQA Diamond | 57.2% | 87.6% |
| Humanity's Last Exam | 4.6% | 23.7% |
| MMLU-Pro | 73.7% | 57.9% |
| GPQA (HELM) | 53.4% | 44.2% |
| LMArena Expert | 1279 | 1470 |
| SimpleQA Verified | — | 48% |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 10.9% |
| MMLU | 86.9% | — |
Multimodal GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 36.8 (#77), GPT-5.1: 44.8 (#19)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| LMArena Vision | 1161 | 1250 |
| Video-MME | 75% | — |
| VPCT | — | 58.7% |
| LMArena Document | — | 1403 |
Multilingual GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), GPT-5.1: 53.8 (#56)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| LMArena Non-English | 1312 | 1431 |
| LMArena Chinese | 1331 | 1495 |
| LMArena French | 1302 | 1450 |
| LMArena German | 1286 | 1438 |
| LMArena Japanese | 1292 | 1453 |
| LMArena Korean | 1298 | 1401 |
| LMArena Russian | 1320 | 1435 |
| LMArena Spanish | 1311 | 1433 |
Instruction Following GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), GPT-5.1: 83.9 (#1)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| IFEval | 83.7% | 93.5% |
| LMArena Instruction Following | 1297 | 1443 |
| LiveBench Instruction Following | — | 93.3% |
Long Context GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), GPT-5.1: 47.6 (#14)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| LMArena Longer Query | 1308 | 1447 |
| CL-bench | — | 23.7% |
| CL-bench Life | — | 17.3% |
Writing & Preference GPT-5.1 leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), GPT-5.1: 64.5 (#55)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-5.1 |
|---|---|---|
| LMArena Text | 1319 | 1443 |
| LMArena Creative Writing | 1333 | 1427 |
| WildBench | 81.3% | 86.3% |
| LMArena Multi-Turn | 1296 | 1450 |
| LiveBench Language | — | 80.2% |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than GPT-5.1?
GPT-5.1 is the stronger model overall, scoring 49.0 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or GPT-5.1 better for coding?
GPT-5.1 scores higher on coding benchmarks: 46.4 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and GPT-5.1 share?
32 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GPT-5.1 has 63.