Model comparison
Gemini 1.5 Pro (May 2024) vs GPT-6.1 Sol
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 32.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and GPT-6.1 Sol in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 12.3.
- The biggest single-benchmark swing is ARC-AGI-2: 0.8% for Gemini 1.5 Pro (May 2024) and 94.2% for GPT-6.1 Sol.
Side by side
| Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 32.1 | 65.6 |
| Released | 2024-02-15 | 2026-09-29 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $10 |
| Results tracked | 45 | 34 |
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Category by category
Coding GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), GPT-6.1 Sol: 63.2 (#8)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Coding | 1294 | 1487 |
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| LMArena WebDev | — | 1755 |
| SciCode | — | 55.8% |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), GPT-6.1 Sol: 39.6 (#26)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | — | 60% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
| GDP.pdf | — | 32% |
Reasoning GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), GPT-6.1 Sol: 81.9 (#2)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| ARC-AGI-2 | 0.8% | 94.2% |
| LMArena Hard Prompts | 1296 | 1466 |
| Epoch Capabilities Index | 131.73 | 166.09 |
| SimpleBench | 27.1% | — |
| NYT Connections (extended) | — | 95.5% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| Chess Puzzles | — | 61% |
| EBR-Bench | — | 54.3% |
| Mystery Game Puzzles | — | 80% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), GPT-6.1 Sol: 93.7 (#1)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 100% |
| LMArena Math | 1315 | 1464 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| ProofBench | — | 99% |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
Knowledge GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), GPT-6.1 Sol: 71.8 (#4)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 57.2% | 95.4% |
| LMArena Expert | 1279 | 1502 |
| Humanity's Last Exam | 4.6% | — |
| SimpleQA Verified | — | 73.9% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 36.8 (#77), GPT-6.1 Sol: 52.7 (#5)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | 1161 | 1288 |
| Video-MME | 75% | — |
| Furniture Assembly | — | 80% |
Multilingual GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), GPT-6.1 Sol: 54.3 (#46)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1312 | 1438 |
| LMArena Chinese | 1331 | 1477 |
| LMArena Russian | 1320 | 1455 |
| LMArena French | 1302 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Spanish | 1311 | — |
Instruction Following GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), GPT-6.1 Sol: 77.0 (#29)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1297 | 1468 |
| IFEval | 83.7% | — |
Long Context GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), GPT-6.1 Sol: 44.9 (#54)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1308 | 1465 |
Writing & Preference GPT-6.1 Sol leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), GPT-6.1 Sol: 63.6 (#63)
| Benchmark | Gemini 1.5 Pro (May 2024) | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1319 | 1447 |
| LMArena Creative Writing | 1333 | 1432 |
| LMArena Multi-Turn | 1296 | 1449 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than GPT-6.1 Sol?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and GPT-6.1 Sol share?
17 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and GPT-6.1 Sol has 34.