# Gemini 3.8 Flash vs o1

> Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 40.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-8-flash-vs-o1
- Last updated: 2026-10-10
- Shared benchmarks: 29

## Summary

- They share 29 benchmarks with published results for both. Gemini 3.8 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 3.8 Flash leads 76.9 to 27.9.
- The biggest single-benchmark swing is ARC-AGI-1: 98.5% for Gemini 3.8 Flash and 30.7% for o1.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $15 / $60 for o1.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | Gemini 3.8 Flash | o1 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 61.8 | 40.9 |
| Rank | 11 | 143 |
| Context | 1.05M | 200K |
| Input $/M | $0.75 | $15 |
| Output $/M | $3.75 | $60 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.8 Flash: 59.2 (#15)
- o1: 46.1 (#70)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| WeirdML | 84.8% | 47.6% |
| LMArena Coding | 1510 | 1367 |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| Aider Polyglot | — | 61.7% |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1584 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| LiveBench Coding | — | 69.7% |
| CadEval | — | 56% |
| ALE-Bench | 1,270 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 80.2% |

## Agentic & Tool Use

- Gemini 3.8 Flash: 41.8 (#21)
- o1: 24.6 (#117)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Remote Labor Index | 5.8% | — |
| Cybench | — | 10% |
| GDP.pdf | 23.4% | — |
| METR Time Horizons | — | 51.1% |
| Vending-Bench 2 | 5,094 | — |

## Reasoning

- Gemini 3.8 Flash: 76.9 (#5)
- o1: 27.9 (#111)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| ARC-AGI-1 | 98.5% | 30.7% |
| Chess Puzzles | 61% | 15% |
| LMArena Hard Prompts | 1508 | 1371 |
| DTBench | 95.7% | 74.7% |
| LMCA | 52.9% | 22.3% |
| Epoch Capabilities Index | 156.71 | 141.91 |
| ARC-AGI-2 | 89.2% | — |
| SimpleBench | — | 41.7% |
| NYT Connections (extended) | 97.4% | — |
| CritPt | 18.3% | — |
| EnigmaEval | — | 5.7% |
| LiveBench Reasoning | — | 91.6% |
| Mystery Game Puzzles | 47% | — |
| LiveBench Data Analysis | — | 65.5% |
| Surface Evolver Bench | 76.9% | — |
| LiveBench | — | 75.7% |

## Math

- Gemini 3.8 Flash: 65.3 (#28)
- o1: 36.1 (#175)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.4% | 14.7% |
| OTIS Mock AIME 2024-2025 | 98.9% | 73.3% |
| LMArena Math | 1528 | 1388 |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
| LiveBench Math | — | 80.3% |
| MATH Level 5 | — | 94.7% |
| FrontierMath (Feb 2025 set) | — | 9.3% |

## Knowledge

- Gemini 3.8 Flash: 74.8 (#2)
- o1: 41.5 (#110)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| GPQA Diamond | 95.4% | 76.8% |
| Humanity's Last Exam | 44.5% | 8% |
| SimpleQA Verified | 69.7% | 41.1% |
| LMArena Expert | 1524 | 1361 |
| Confabulations | — | 11.7% |

## Multimodal

- Gemini 3.8 Flash: 40.7 (#45)
- o1: 34.2 (#93)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| LMArena Vision | 1314 | 1168 |
| GeoBench | — | 80% |
| VPCT | — | 37% |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |
| SpatialViz-Bench | — | 41.4% |

## Multilingual

- Gemini 3.8 Flash: 58.0 (#5)
- o1: 48.6 (#142)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| LMArena Non-English | 1491 | 1358 |
| LMArena Chinese | 1554 | 1394 |
| LMArena French | 1498 | 1344 |
| LMArena German | 1493 | 1337 |
| LMArena Japanese | 1502 | 1346 |
| LMArena Korean | 1459 | 1396 |
| LMArena Russian | 1515 | 1356 |
| LMArena Spanish | 1485 | 1345 |

## Instruction Following

- Gemini 3.8 Flash: 78.0 (#13)
- o1: 74.8 (#86)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| LMArena Instruction Following | 1490 | 1367 |
| LiveBench Instruction Following | — | 81.5% |

## Long Context

- Gemini 3.8 Flash: 46.3 (#24)
- o1: 50.3 (#9)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| LMArena Longer Query | 1508 | 1378 |
| Fiction.LiveBench | — | 83.3% |

## Writing & Preference

- Gemini 3.8 Flash: 72.2 (#15)
- o1: 55.6 (#144)

| Benchmark | Gemini 3.8 Flash | o1 |
|---|---|---|
| LMArena Text | 1499 | 1366 |
| LMArena Creative Writing | 1492 | 1348 |
| LMArena Multi-Turn | 1501 | 1369 |
| Short-Story Creative Writing | — | 70.2% |
| EQ-Bench Creative Writing | 1748 | — |
| LiveBench Language | — | 65.4% |

## FAQ

### Is Gemini 3.8 Flash better than o1?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 40.9 on the Noometry Index.

### Which is cheaper, Gemini 3.8 Flash or o1?

Gemini 3.8 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 3.8 Flash or o1 better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 46.1 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 200K.

### How many benchmarks do Gemini 3.8 Flash and o1 share?

29 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and o1 has 52.