Model comparison
Gemini 3.7 Flash vs o3-pro
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 42.9 on the Noometry Index.
Last verified . 5 shared benchmarks.
GoogleSummary
- They share 5 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 4 categories and o3-pro in 1 category; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 23.8.
- The biggest single-benchmark swing is ARC-AGI-2: 84.6% for Gemini 3.7 Flash and 4.9% for o3-pro.
- Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $20 / $80 for o3-pro.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 200K.
Side by side
| Gemini 3.7 Flash | o3-pro | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 59.8 | 42.9 |
| Released | 2026-08-13 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 66K | 100K |
| Input $ / M tokens | $0.75 | $20 |
| Output $ / M tokens | $3.75 | $80 |
| Results tracked | 44 | 12 |
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Category by category
Coding Too close to call
Gemini 3.7 Flash: 56.2 (#22), o3-pro: 55.5 (#24)
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1592 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| WeirdML | — | 58.2% |
| LMArena Coding | 1497 | — |
| ALE-Bench | 904.3 | — |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.1 (#19), o3-pro: —
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), o3-pro: 23.8 (#171)
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| ARC-AGI-2 | 84.6% | 4.9% |
| ARC-AGI-1 | 95.5% | 59.3% |
| DTBench | 96.8% | 86.9% |
| LMCA | 50.4% | 38.5% |
| Epoch Capabilities Index | 157.27 | 147.42 |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 94% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | 47% | — |
| LMArena Hard Prompts | 1494 | — |
| Mystery Game Puzzles | 37% | — |
Math Not comparable
Gemini 3.7 Flash: 69.6 (#23), o3-pro: —
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 58% | — |
| LMArena Math | 1507 | — |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), o3-pro: 29.5 (#238)
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| LMArena Expert | 1508 | — |
Multimodal Not comparable
Gemini 3.7 Flash: 37.3 (#73), o3-pro: —
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 26.7% | — |
Multilingual Not comparable
Gemini 3.7 Flash: 57.6 (#7), o3-pro: —
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| LMArena Non-English | 1484 | — |
| LMArena Chinese | 1548 | — |
| LMArena French | 1505 | — |
| LMArena German | 1498 | — |
| LMArena Japanese | 1512 | — |
| LMArena Korean | 1483 | — |
| LMArena Russian | 1516 | — |
| LMArena Spanish | 1503 | — |
Instruction Following Not comparable
Gemini 3.7 Flash: 77.7 (#15), o3-pro: —
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1483 | — |
Long Context o3-pro leads
Gemini 3.7 Flash: 45.7 (#30), o3-pro: 72.2 (#1)
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1492 | — |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), o3-pro: 57.1 (#133)
| Benchmark | Gemini 3.7 Flash | o3-pro |
|---|---|---|
| LMArena Text | 1486 | — |
| LMArena Creative Writing | 1490 | — |
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 1723 | — |
| LMArena Multi-Turn | 1489 | — |
Frequently asked questions
Is Gemini 3.7 Flash better than o3-pro?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 42.9 on the Noometry Index.
Which is cheaper, Gemini 3.7 Flash or o3-pro?
Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; o3-pro lists at $20 and $80.
Is Gemini 3.7 Flash or o3-pro better for coding?
They score almost the same on coding (56.2 vs 55.5); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 200K.
How many benchmarks do Gemini 3.7 Flash and o3-pro share?
5 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and o3-pro has 12.