# Gemini 3.8 Flash vs GPT-6 Sol

> Gemini 3.8 Flash and GPT-6 Sol score almost the same on the Noometry Index (61.8 vs 61.8), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gemini-3-8-flash-vs-gpt-6-sol
- Last updated: 2026-10-11
- Shared benchmarks: 43

## Summary

- They share 43 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 7 categories and GPT-6 Sol in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Sol leads 87.2 to 65.3.
- The biggest single-benchmark swing is FrontierMath Tier 4: 22% for Gemini 3.8 Flash and 90% for GPT-6 Sol.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 61.8 | 61.8 |
| Rank | 11 | 12 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.75 | $2 |
| Output $/M | $3.75 | $10 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.8 Flash: 59.2 (#15)
- GPT-6 Sol: 60.1 (#11)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| DeepSWE | 73.8% | 68.8% |
| FrontierCode | 41.2% | 49.3% |
| LMArena WebDev | 1584 | 1688 |
| SciCode | 56.6% | 57.6% |
| LMArena Coding | 1510 | 1447 |
| ALE-Bench | 1,270 | 2,462 |
| CursorBench | 39.6% | — |
| FrontierSWE | 19.6% | — |
| WeirdML | 84.8% | — |

## Agentic & Tool Use

- Gemini 3.8 Flash: 41.8 (#21)
- GPT-6 Sol: 37.2 (#36)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| APEX-Agents | 64.3% | 54.3% |
| GDP.pdf | 23.4% | 26.4% |
| Vending-Bench 2 | 5,094 | 14,428 |
| Remote Labor Index | 5.8% | — |

## Reasoning

- Gemini 3.8 Flash: 76.9 (#5)
- GPT-6 Sol: 74.0 (#9)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| ARC-AGI-2 | 89.2% | 89.6% |
| NYT Connections (extended) | 97.4% | 90.1% |
| ARC-AGI-1 | 98.5% | 95.5% |
| CritPt | 18.3% | 30.9% |
| LMArena Hard Prompts | 1508 | 1418 |
| Mystery Game Puzzles | 47% | 56% |
| DTBench | 95.7% | 97.3% |
| LMCA | 52.9% | 59.1% |
| Epoch Capabilities Index | 156.71 | 162.72 |
| Chess Puzzles | 61% | — |
| EBR-Bench | — | 53.3% |
| Surface Evolver Bench | 76.9% | — |

## Math

- Gemini 3.8 Flash: 65.3 (#28)
- GPT-6 Sol: 87.2 (#7)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.4% | 89.8% |
| FrontierMath Tier 4 | 22% | 90% |
| OTIS Mock AIME 2024-2025 | 98.9% | 100% |
| ProofBench | 48% | 83% |
| LMArena Math | 1528 | 1402 |

## Knowledge

- Gemini 3.8 Flash: 74.8 (#2)
- GPT-6 Sol: 64.8 (#15)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| GPQA Diamond | 95.4% | 94.3% |
| SimpleQA Verified | 69.7% | 60.7% |
| LMArena Expert | 1524 | 1439 |
| Humanity's Last Exam | 44.5% | — |
| Vectara Hallucination Rate | — | 6.5% |

## Multimodal

- Gemini 3.8 Flash: 40.7 (#45)
- GPT-6 Sol: 47.6 (#10)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1314 | 1245 |
| Blueprint-Bench 2 | 38.6% | 36.9% |
| Furniture Assembly | 31.7% | 58.3% |

## Multilingual

- Gemini 3.8 Flash: 58.0 (#5)
- GPT-6 Sol: 50.5 (#118)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1491 | 1385 |
| LMArena Chinese | 1554 | 1405 |
| LMArena French | 1498 | 1410 |
| LMArena German | 1493 | 1390 |
| LMArena Japanese | 1502 | 1385 |
| LMArena Korean | 1459 | 1341 |
| LMArena Russian | 1515 | 1401 |
| LMArena Spanish | 1485 | 1384 |

## Instruction Following

- Gemini 3.8 Flash: 78.0 (#13)
- GPT-6 Sol: 74.5 (#94)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1490 | 1412 |

## Long Context

- Gemini 3.8 Flash: 46.3 (#24)
- GPT-6 Sol: 43.1 (#108)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1508 | 1411 |

## Writing & Preference

- Gemini 3.8 Flash: 72.2 (#15)
- GPT-6 Sol: 71.9 (#18)

| Benchmark | Gemini 3.8 Flash | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1499 | 1395 |
| LMArena Creative Writing | 1492 | 1378 |
| EQ-Bench Creative Writing | 1748 | 2125 |
| LMArena Multi-Turn | 1501 | 1412 |

## FAQ

### Is Gemini 3.8 Flash better than GPT-6 Sol?

Gemini 3.8 Flash and GPT-6 Sol score almost the same on the Noometry Index (61.8 vs 61.8), so choose on price, context window or the category you care about most.

### Which is cheaper, Gemini 3.8 Flash or GPT-6 Sol?

Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-6 Sol lists at $2 and $10.

### Is Gemini 3.8 Flash or GPT-6 Sol better for coding?

They score almost the same on coding (59.2 vs 60.1); test both on your own repository before choosing.

### Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 1.05M.

### How many benchmarks do Gemini 3.8 Flash and GPT-6 Sol share?

43 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and GPT-6 Sol has 45.