# Gemini 3.8 Flash vs GPT-4.1

> Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 35.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-3-8-flash-vs-gpt-4-1
- 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 10 categories and GPT-4.1 in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.8 Flash leads 64.7 to 11.7.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 68.4% for Gemini 3.8 Flash and 6% for GPT-4.1.
- Gemini 3.8 Flash is cheaper at $0.75 / $3.75 per million input/output tokens, against $2 / $8 for GPT-4.1.
- Gemini 3.8 Flash accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 59.5 | 35.7 |
| Rank | 13 | 215 |
| Context | 1.05M | 1.05M |
| Input $/M | $0.75 | $2 |
| Output $/M | $3.75 | $8 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.8 Flash: 56.4 (#17)
- GPT-4.1: 34.2 (#228)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| LMArena Coding | 1512 | 1391 |
| ALE-Bench | 1,270 | 558.1 |
| SWE-bench Verified | — | 48.5% |
| DeepSWE | 73.8% | — |
| FrontierCode | 41.2% | — |
| SWE-bench Verified (bash only) | — | 39.6% |
| Aider Polyglot | — | 52.4% |
| CursorBench | 39.6% | — |
| LMArena WebDev | 1581 | — |
| FrontierSWE | 19.6% | — |
| SciCode | 56.6% | — |
| WeirdML | — | 39% |
| CadEval | — | 42% |

## Agentic & Tool Use

- Gemini 3.8 Flash: 40.3 (#22)
- GPT-4.1: 34.4 (#40)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| APEX-Agents | 64.3% | — |
| Berkeley Function Calling Leaderboard | — | 54% |
| GDP.pdf | 23.4% | — |
| Vending-Bench 2 | 5,094 | — |

## Reasoning

- Gemini 3.8 Flash: 64.7 (#13)
- GPT-4.1: 11.7 (#334)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| Chess Puzzles | 61% | 6% |
| LMArena Hard Prompts | 1506 | 1384 |
| DTBench | 95.7% | 68.3% |
| LMCA | 52.9% | 25.6% |
| Epoch Capabilities Index | 157.13 | 136.79 |
| ARC-AGI-2 | — | 0.4% |
| SimpleBench | — | 27% |
| Kagi LLM Benchmark | — | 52.3% |
| NYT Connections (extended) | 97.4% | — |
| ARC-AGI-1 | — | 5.5% |
| CritPt | 18.3% | — |
| EnigmaEval | — | 2.2% |
| Mystery Game Puzzles | 47% | — |
| Surface Evolver Bench | 76.9% | — |
| ForecastBench | — | 61.5 |

## Math

- Gemini 3.8 Flash: 65.2 (#22)
- GPT-4.1: 21.4 (#269)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 68.4% | 6% |
| OTIS Mock AIME 2024-2025 | 98.9% | 38.3% |
| LMArena Math | 1528 | 1369 |
| FrontierMath Tier 4 | 22% | — |
| ProofBench | 48% | — |
| Omni-MATH | — | 47.1% |
| MATH Level 5 | — | 83% |
| FrontierMath (Feb 2025 set) | — | 5.5% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Gemini 3.8 Flash: 74.9 (#2)
- GPT-4.1: 37.0 (#152)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| GPQA Diamond | 95.4% | 66.9% |
| Humanity's Last Exam | 44.5% | 5.4% |
| SimpleQA Verified | 69.7% | 31.1% |
| LMArena Expert | 1529 | 1364 |
| MMLU-Pro | — | 81.1% |
| Vectara Hallucination Rate | — | 5.6% |
| GPQA (HELM) | — | 65.9% |

## Multimodal

- Gemini 3.8 Flash: 40.9 (#33)
- GPT-4.1: 37.5 (#66)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| LMArena Vision | 1312 | 1210 |
| GeoBench | — | 72% |
| Blueprint-Bench 2 | 38.6% | — |
| Furniture Assembly | 31.7% | — |

## Multilingual

- Gemini 3.8 Flash: 57.9 (#5)
- GPT-4.1: 49.6 (#128)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| LMArena Non-English | 1486 | 1370 |
| LMArena Chinese | 1547 | 1382 |
| LMArena French | 1502 | 1383 |
| LMArena German | 1470 | 1380 |
| LMArena Japanese | 1505 | 1320 |
| LMArena Korean | 1479 | 1339 |
| LMArena Russian | 1507 | 1377 |
| LMArena Spanish | 1492 | 1375 |

## Instruction Following

- Gemini 3.8 Flash: 78.2 (#11)
- GPT-4.1: 71.5 (#148)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| LMArena Instruction Following | 1489 | 1367 |
| IFEval | — | 83.8% |

## Long Context

- Gemini 3.8 Flash: 46.2 (#23)
- GPT-4.1: 40.0 (#158)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| LMArena Longer Query | 1506 | 1385 |
| Fiction.LiveBench | — | 63.9% |

## Writing & Preference

- Gemini 3.8 Flash: 72.1 (#16)
- GPT-4.1: 57.8 (#120)

| Benchmark | Gemini 3.8 Flash | GPT-4.1 |
|---|---|---|
| LMArena Text | 1494 | 1383 |
| LMArena Creative Writing | 1485 | 1363 |
| EQ-Bench Creative Writing | 1748 | 1420 |
| LMArena Multi-Turn | 1503 | 1398 |
| WildBench | — | 85.4% |

## FAQ

### Is Gemini 3.8 Flash better than GPT-4.1?

Gemini 3.8 Flash is the stronger model overall, scoring 59.5 to 35.7 on the Noometry Index.

### Which is cheaper, Gemini 3.8 Flash or GPT-4.1?

Gemini 3.8 Flash is cheaper. It lists at $0.75 per million input tokens and $3.75 per million output tokens; GPT-4.1 lists at $2 and $8.

### Is Gemini 3.8 Flash or GPT-4.1 better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 56.4 versus 34.2 in the Noometry coding category.

### Which has the bigger context window?

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

### How many benchmarks do Gemini 3.8 Flash and GPT-4.1 share?

29 benchmarks have published results for both models. Gemini 3.8 Flash has 46 scored results on Noometry and GPT-4.1 has 52.