Model comparison
Gemini 1.5 Pro (May 2024) vs o3-pro
o3-pro is the stronger model overall, scoring 42.7 to 31.9 on the Noometry Index.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 1 category and o3-pro in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.1 to 39.7.
- The biggest single-benchmark swing is WeirdML: 22.2% for Gemini 1.5 Pro (May 2024) and 58.2% for o3-pro.
Side by side
| Gemini 1.5 Pro (May 2024) | o3-pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 31.9 | 42.7 |
| Released | 2024-02-15 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 45 | 12 |
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Category by category
Coding o3-pro leads
Gemini 1.5 Pro (May 2024): 33.8 (#239), o3-pro: 55.1 (#22)
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| WeirdML | 22.2% | 58.2% |
| Aider Polyglot | — | 84.9% |
| BigCodeBench Instruct | 43.8% | — |
| LMArena Coding | 1294 | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Not comparable
Gemini 1.5 Pro (May 2024): 17.8 (#137), o3-pro: —
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
Reasoning o3-pro leads
Gemini 1.5 Pro (May 2024): 12.3 (#332), o3-pro: 24.1 (#152)
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| ARC-AGI-2 | 0.8% | 4.9% |
| DTBench | 59% | 86.9% |
| Epoch Capabilities Index | 131.73 | 147.43 |
| SimpleBench | 27.1% | — |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 1296 | — |
| LMCA | — | 38.5% |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math Not comparable
Gemini 1.5 Pro (May 2024): 24.4 (#260), o3-pro: —
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| Omni-MATH | 36.4% | — |
| LMArena Math | 1315 | — |
| MATH Level 5 | 70.4% | — |
Knowledge Too close to call
Gemini 1.5 Pro (May 2024): 29.3 (#228), o3-pro: 29.0 (#234)
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| Confabulations | 13.5% | 14.2% |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| MMLU-Pro | 73.7% | — |
| Vectara Hallucination Rate | — | 23.3% |
| GPQA (HELM) | 53.4% | — |
| LMArena Expert | 1279 | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.2 (#72), o3-pro: —
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Not comparable
Gemini 1.5 Pro (May 2024): 45.5 (#169), o3-pro: —
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| LMArena Non-English | 1312 | — |
| LMArena Chinese | 1331 | — |
| LMArena French | 1301 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1320 | — |
| LMArena Spanish | 1310 | — |
Instruction Following Not comparable
Gemini 1.5 Pro (May 2024): 68.8 (#180), o3-pro: —
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| IFEval | 83.7% | — |
| LMArena Instruction Following | 1297 | — |
Long Context o3-pro leads
Gemini 1.5 Pro (May 2024): 39.7 (#164), o3-pro: 72.1 (#1)
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1308 | — |
Writing & Preference o3-pro leads
Gemini 1.5 Pro (May 2024): 52.5 (#167), o3-pro: 57.1 (#128)
| Benchmark | Gemini 1.5 Pro (May 2024) | o3-pro |
|---|---|---|
| LMArena Text | 1319 | — |
| LMArena Creative Writing | 1333 | — |
| Short-Story Creative Writing | — | 84.4% |
| WildBench | 81.3% | — |
| LMArena Multi-Turn | 1296 | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than o3-pro?
o3-pro is the stronger model overall, scoring 42.7 to 31.9 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.1 versus 33.8 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and o3-pro share?
5 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and o3-pro has 12.