Model comparison
Gemini 3.7 Flash vs o1
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 40.9 on the Noometry Index.
Last verified . 27 shared benchmarks.
GoogleSummary
- They share 27 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 9 categories and o1 in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 27.9.
- The biggest single-benchmark swing is ARC-AGI-1: 95.5% for Gemini 3.7 Flash and 30.7% for o1.
- Gemini 3.7 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $15 / $60 for o1.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 200K.
Side by side
| Gemini 3.7 Flash | o1 | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 59.8 | 40.9 |
| Released | 2026-08-13 | 2024-09-12 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 66K | 100K |
| Input $ / M tokens | $0.75 | $15 |
| Output $ / M tokens | $3.75 | $60 |
| Results tracked | 44 | 52 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), o1: 46.1 (#70)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| LMArena Coding | 1497 | 1367 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| Aider Polyglot | — | 61.7% |
| LMArena WebDev | 1592 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| WeirdML | — | 47.6% |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| ALE-Bench | 904.3 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |
Agentic & Tool Use Gemini 3.7 Flash leads
Gemini 3.7 Flash: 42.1 (#19), o1: 24.6 (#117)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| Cybench | — | 10% |
| GDP.pdf | 23.8% | — |
| METR Time Horizons | — | 51.1% |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), o1: 27.9 (#111)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| ARC-AGI-1 | 95.5% | 30.7% |
| Chess Puzzles | 47% | 15% |
| LMArena Hard Prompts | 1494 | 1371 |
| DTBench | 96.8% | 74.7% |
| LMCA | 50.4% | 22.3% |
| Epoch Capabilities Index | 157.27 | 141.91 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | — | 41.7% |
| NYT Connections (extended) | 94% | — |
| CritPt | 14.3% | — |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| Mystery Game Puzzles | 37% | — |
| LiveBench Data Analysis | — | 65.5% |
| LiveBench | — | 75.7% |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.6 (#23), o1: 36.1 (#175)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 71.6% | 14.7% |
| OTIS Mock AIME 2024-2025 | 97.2% | 73.3% |
| LMArena Math | 1507 | 1388 |
| FrontierMath Tier 4 | 36.6% | — |
| ProofBench | 58% | — |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), o1: 41.5 (#110)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| GPQA Diamond | 94.8% | 76.8% |
| SimpleQA Verified | 69.2% | 41.1% |
| LMArena Expert | 1508 | 1361 |
| Humanity's Last Exam | — | 8% |
| Confabulations | — | 11.7% |
Multimodal Gemini 3.7 Flash leads
Gemini 3.7 Flash: 37.3 (#73), o1: 34.2 (#93)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| LMArena Vision | 1316 | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| Furniture Assembly | 26.7% | — |
| SpatialViz-Bench | — | 41.4% |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.6 (#7), o1: 48.6 (#142)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| LMArena Non-English | 1484 | 1358 |
| LMArena Chinese | 1548 | 1394 |
| LMArena French | 1505 | 1344 |
| LMArena German | 1498 | 1337 |
| LMArena Japanese | 1512 | 1346 |
| LMArena Korean | 1483 | 1396 |
| LMArena Russian | 1516 | 1356 |
| LMArena Spanish | 1503 | 1345 |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 77.7 (#15), o1: 74.8 (#86)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| LMArena Instruction Following | 1483 | 1367 |
| LiveBench Instruction Following | — | 81.5% |
Long Context o1 leads
Gemini 3.7 Flash: 45.7 (#30), o1: 50.3 (#9)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| LMArena Longer Query | 1492 | 1378 |
| Fiction.LiveBench | — | 83.3% |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), o1: 55.6 (#144)
| Benchmark | Gemini 3.7 Flash | o1 |
|---|---|---|
| LMArena Text | 1486 | 1366 |
| LMArena Creative Writing | 1490 | 1348 |
| LMArena Multi-Turn | 1489 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 1723 | — |
| LiveBench Language | — | 65.4% |
Frequently asked questions
Is Gemini 3.7 Flash better than o1?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 40.9 on the Noometry Index.
Which is cheaper, Gemini 3.7 Flash or o1?
Gemini 3.7 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; o1 lists at $15 and $60.
Is Gemini 3.7 Flash or o1 better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 46.1 in the Noometry coding category.
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 o1 share?
27 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and o1 has 52.