# Gemini 3.5 Flash vs GPT-4.1 mini

> Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 33.5 on the Noometry Index. GPT-4.1 mini costs 4.8× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-3-5-flash-vs-gpt-4-1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 33

## Summary

- They share 33 benchmarks with published results for both. Gemini 3.5 Flash scores higher in 9 categories and GPT-4.1 mini in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.7 to 10.9.
- The biggest single-benchmark swing is ARC-AGI-1: 92.5% for Gemini 3.5 Flash and 3.5% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $1.50 / $9 for Gemini 3.5 Flash.
- Gemini 3.5 Flash accepts more context: 1.05M tokens versus 1.05M.

## Snapshot

| | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 54.1 | 33.5 |
| Rank | 29 | 232 |
| Context | 1.05M | 1.05M |
| Input $/M | $1.50 | $0.40 |
| Output $/M | $9 | $1.60 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 3.5 Flash: 49.1 (#46)
- GPT-4.1 mini: 30.4 (#286)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| SciCode | 53.1% | 40.4% |
| WeirdML | 62.6% | 37.6% |
| LMArena Coding | 1492 | 1367 |
| SWE-bench Verified | 79.3% | — |
| DeepSWE | 37.4% | — |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| LMArena WebDev | 1499 | — |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |
| ALE-Bench | 911.02 | — |

## Agentic & Tool Use

- Gemini 3.5 Flash: 24.8 (#107)
- GPT-4.1 mini: 33.0 (#52)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| APEX-Agents | 27.5% | — |
| Berkeley Function Calling Leaderboard | — | 50.5% |
| GBAEval | 6.7% | — |
| GDP.pdf | 14% | — |
| Vending-Bench 2 | 5,396 | — |

## Reasoning

- Gemini 3.5 Flash: 62.7 (#16)
- GPT-4.1 mini: 10.9 (#335)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| ARC-AGI-2 | 72.1% | 0% |
| ARC-AGI-1 | 92.5% | 3.5% |
| CritPt | 13.1% | 0% |
| Chess Puzzles | 50% | 7% |
| LMArena Hard Prompts | 1488 | 1349 |
| Mystery Game Puzzles | 32% | 7% |
| DTBench | 94.7% | 68.8% |
| LMCA | 47.1% | 21.1% |
| Epoch Capabilities Index | 154.55 | 135.01 |
| SimpleBench | 76.7% | — |
| Kagi LLM Benchmark | — | 48.6% |
| NYT Connections (extended) | 92.6% | — |
| EnigmaEval | 25.4% | — |
| EBR-Bench | 4.8% | — |
| Surface Evolver Bench | 58.1% | — |
| ForecastBench | 59 | — |

## Math

- Gemini 3.5 Flash: 60.5 (#30)
- GPT-4.1 mini: 23.1 (#264)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 62.8% | 6.7% |
| OTIS Mock AIME 2024-2025 | 95.6% | 44.7% |
| LMArena Math | 1502 | 1343 |
| FrontierMath (Feb 2025 set) | 39% | 4.5% |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.3% | — |
| ProofBench | 31% | — |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- Gemini 3.5 Flash: 66.3 (#10)
- GPT-4.1 mini: 34.7 (#183)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 92.8% | 65.8% |
| SimpleQA Verified | 66.2% | 12.7% |
| LMArena Expert | 1493 | 1338 |
| MMLU-Pro | — | 78.3% |
| GPQA (HELM) | — | 61.4% |

## Multimodal

- Gemini 3.5 Flash: 45.7 (#13)
- GPT-4.1 mini: 35.2 (#77)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1311 | 1181 |
| Blueprint-Bench 2 | 33.6% | — |
| LMArena Document | 1463 | — |

## Multilingual

- Gemini 3.5 Flash: 57.1 (#12)
- GPT-4.1 mini: 45.9 (#161)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1475 | 1318 |
| LMArena Chinese | 1525 | 1329 |
| LMArena French | 1490 | 1357 |
| LMArena German | 1500 | 1349 |
| LMArena Japanese | 1481 | 1291 |
| LMArena Korean | 1453 | 1298 |
| LMArena Russian | 1491 | 1324 |
| LMArena Spanish | 1478 | 1319 |

## Instruction Following

- Gemini 3.5 Flash: 77.2 (#29)
- GPT-4.1 mini: 73.9 (#113)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1466 | 1332 |
| IFEval | — | 90.4% |

## Long Context

- Gemini 3.5 Flash: 45.3 (#39)
- GPT-4.1 mini: 31.8 (#270)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1481 | 1344 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- Gemini 3.5 Flash: 65.5 (#46)
- GPT-4.1 mini: 48.8 (#193)

| Benchmark | Gemini 3.5 Flash | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1481 | 1341 |
| LMArena Creative Writing | 1467 | 1300 |
| LMArena Multi-Turn | 1482 | 1354 |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |
| EQ-Bench 4 | 1087 | — |

## FAQ

### Is Gemini 3.5 Flash better than GPT-4.1 mini?

Gemini 3.5 Flash is the stronger model overall, scoring 54.1 to 33.5 on the Noometry Index. GPT-4.1 mini costs 4.8× less per token, which makes it the better buy when Gemini 3.5 Flash's lead doesn't matter for your workload.

### Which is cheaper, Gemini 3.5 Flash or GPT-4.1 mini?

GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.

### Is Gemini 3.5 Flash or GPT-4.1 mini better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.1 versus 30.4 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 1.05M.

### How many benchmarks do Gemini 3.5 Flash and GPT-4.1 mini share?

33 benchmarks have published results for both models. Gemini 3.5 Flash has 54 scored results on Noometry and GPT-4.1 mini has 47.