# Gemini 2.5 Flash vs o4-mini

> o4-mini is the stronger model overall, scoring 41.6 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 2.3× less per token, which makes it the better buy when o4-mini's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-vs-o4-mini
- Last updated: 2026-10-11
- Shared benchmarks: 48

## Summary

- They share 48 benchmarks with published results for both. Gemini 2.5 Flash scores higher in 4 categories and o4-mini in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o4-mini leads 43.6 to 36.4.
- The biggest single-benchmark swing is GPQA (HELM): 39% for Gemini 2.5 Flash and 73.5% for o4-mini.
- Gemini 2.5 Flash is cheaper at $0.30 / $2.50 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 200K.

## Snapshot

| | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 39.3 | 41.6 |
| Rank | 170 | 132 |
| Context | 1.05M | 200K |
| Input $/M | $0.30 | $1.10 |
| Output $/M | $2.50 | $4.40 |
| Weights | Proprietary | Proprietary |

## Coding

- Gemini 2.5 Flash: 35.8 (#220)
- o4-mini: 40.9 (#127)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| SWE-bench Verified (bash only) | 28.7% | 45% |
| Aider Polyglot | 55.1% | 72% |
| WeirdML | 41.9% | 52.6% |
| LMArena Coding | 1424 | 1368 |
| ALE-Bench | 661.88 | 826.17 |
| GSO | — | 3.6% |
| CadEval | — | 62% |
| AlgoTune | — | 1.72 |

## Agentic & Tool Use

- Gemini 2.5 Flash: 30.8 (#74)
- o4-mini: 32.6 (#61)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 56.2% | 53.2% |
| Terminal-Bench | 17.1% | — |
| GDPval | — | 25.3% |
| TheAgentCompany | 41.1% | — |
| BALROG | 33.5% | — |
| METR Time Horizons | — | 63.9% |
| Vending-Bench 2 | 548.84 | — |

## Reasoning

- Gemini 2.5 Flash: 18.1 (#286)
- o4-mini: 24.6 (#162)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| ARC-AGI-2 | 2.5% | 6.1% |
| SimpleBench | 41.2% | 38.7% |
| Kagi LLM Benchmark | 56.8% | 67.6% |
| ARC-AGI-1 | 33.3% | 58.7% |
| CritPt | 1.1% | 0.6% |
| EnigmaEval | 2.7% | 9.2% |
| LMArena Hard Prompts | 1422 | 1351 |
| DTBench | 76.5% | 77.6% |
| LMCA | 27.5% | 26.5% |
| Epoch Capabilities Index | 143.03 | 145.64 |
| ForecastBench | 60.6 | 61.8 |
| Chess Puzzles | — | 26% |
| Mystery Game Puzzles | — | 5% |

## Math

- Gemini 2.5 Flash: 39.9 (#98)
- o4-mini: 40.8 (#89)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 73.1% | 81.7% |
| Omni-MATH | 38.5% | 72% |
| LMArena Math | 1415 | 1389 |
| FrontierMath (Feb 2025 set) | 4.8% | 24.8% |
| FrontierMath Tier 4 (v1) | 4.2% | 6.3% |
| FrontierMath (Tiers 1-3) | — | 36.1% |
| FrontierMath Tier 4 | — | 4.9% |
| MATH Level 5 | — | 97.8% |

## Knowledge

- Gemini 2.5 Flash: 36.4 (#168)
- o4-mini: 43.6 (#91)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| Humanity's Last Exam | 12.1% | 18.1% |
| MMLU-Pro | 63.9% | 82% |
| Confabulations | 16.8% | 15.8% |
| Vectara Hallucination Rate | 7.8% | 18.6% |
| GPQA (HELM) | 39% | 73.5% |
| LMArena Expert | 1426 | 1343 |
| GPQA Diamond | — | 79.6% |
| SimpleQA Verified | — | 19.6% |

## Multimodal

- Gemini 2.5 Flash: 41.8 (#32)
- o4-mini: 40.2 (#49)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| LMArena Vision | 1253 | 1194 |
| GeoBench | 76% | 64% |
| VPCT | 46.2% | 57.5% |
| SpatialViz-Bench | 36.9% | — |

## Multilingual

- Gemini 2.5 Flash: 52.3 (#88)
- o4-mini: 47.0 (#154)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| LMArena Non-English | 1409 | 1337 |
| LMArena Chinese | 1450 | 1354 |
| LMArena French | 1433 | 1364 |
| LMArena German | 1418 | 1336 |
| LMArena Japanese | 1405 | 1308 |
| LMArena Korean | 1385 | 1312 |
| LMArena Russian | 1415 | 1334 |
| LMArena Spanish | 1421 | 1347 |

## Instruction Following

- Gemini 2.5 Flash: 75.7 (#54)
- o4-mini: 75.2 (#68)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| IFEval | 89.8% | 92.8% |
| LMArena Instruction Following | 1405 | 1321 |

## Long Context

- Gemini 2.5 Flash: 47.5 (#17)
- o4-mini: 45.5 (#33)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| Fiction.LiveBench | 77.8% | 77.8% |
| LMArena Longer Query | 1419 | 1315 |

## Writing & Preference

- Gemini 2.5 Flash: 53.8 (#157)
- o4-mini: 54.0 (#152)

| Benchmark | Gemini 2.5 Flash | o4-mini |
|---|---|---|
| LMArena Text | 1417 | 1353 |
| LMArena Creative Writing | 1400 | 1294 |
| Short-Story Creative Writing | 76.5% | 75% |
| WildBench | 81.7% | 85.4% |
| LMArena Multi-Turn | 1408 | 1350 |
| EQ-Bench Creative Writing | 1137 | — |

## FAQ

### Is Gemini 2.5 Flash better than o4-mini?

o4-mini is the stronger model overall, scoring 41.6 to 39.3 on the Noometry Index. Gemini 2.5 Flash costs 2.3× less per token, which makes it the better buy when o4-mini's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Flash or o4-mini?

Gemini 2.5 Flash is cheaper. It lists at $0.30 per million input tokens and $2.50 per million output tokens; o4-mini lists at $1.10 and $4.40.

### Is Gemini 2.5 Flash or o4-mini better for coding?

o4-mini scores higher on coding benchmarks: 40.9 versus 35.8 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash does, with 1.05M tokens against 200K.

### How many benchmarks do Gemini 2.5 Flash and o4-mini share?

48 benchmarks have published results for both models. Gemini 2.5 Flash has 54 scored results on Noometry and o4-mini has 60.