# Gemini 2.5 Pro vs Ministral 8B

> Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 27.8 on the Noometry Index. Ministral 8B costs 34× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-pro-vs-ministral-8b
- Last updated: 2026-10-10
- Shared benchmarks: 16

## Summary

- They share 16 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 9 categories and Ministral 8B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Gemini 2.5 Pro leads 55.8 to 12.5.
- The biggest single-benchmark swing is MATH Level 5: 95.9% for Gemini 2.5 Pro and 14.9% for Ministral 8B.
- Ministral 8B is cheaper at $0.10 / $0.10 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 128K.
- Ministral 8B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 44.9 | 27.8 |
| Rank | 67 | 321 |
| Context | 1.05M | 128K |
| Input $/M | $1.25 | $0.10 |
| Output $/M | $10 | $0.10 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Pro: 42.8 (#86)
- Ministral 8B: 34.4 (#226)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| LMArena Coding | 1452 | 1202 |
| SWE-bench Verified | 57.6% | — |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| LMArena WebDev | 1227 | — |
| SciCode | 42.8% | — |
| GSO | 3.9% | — |
| WeirdML | 54% | — |
| LiveBench Coding | 85.9% | — |
| CadEval | 64% | — |
| ALE-Bench | 785.52 | — |
| AlgoTune | 1.51 | — |

## Agentic & Tool Use

- Gemini 2.5 Pro: 29.1 (#81)
- Ministral 8B: 16.2 (#140)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| Terminal-Bench | 32.6% | — |
| Berkeley Function Calling Leaderboard | — | 11.1% |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
| Vending-Bench 2 | 573.64 | — |

## Reasoning

- Gemini 2.5 Pro: 28.8 (#85)
- Ministral 8B: 17.7 (#279)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | 1455 | 1191 |
| DTBench | 82.4% | 45.7% |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 62.4% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| CritPt | 2% | — |
| Chess Puzzles | 20% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Epoch Capabilities Index | 145.32 | — |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |

## Math

- Gemini 2.5 Pro: 31.9 (#191)
- Ministral 8B: 23.7 (#262)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| LMArena Math | 1450 | 1188 |
| MATH Level 5 | 95.9% | 14.9% |
| FrontierMath (Tiers 1-3) | 24.6% | — |
| FrontierMath Tier 4 | 0% | — |
| OTIS Mock AIME 2024-2025 | 84.7% | — |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |

## Knowledge

- Gemini 2.5 Pro: 55.8 (#41)
- Ministral 8B: 12.5 (#292)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| GPQA Diamond | 85.3% | 27.1% |
| Vectara Hallucination Rate | 7% | 7.4% |
| LMArena Expert | 1452 | 1170 |
| Humanity's Last Exam | 21.6% | — |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| GPQA (HELM) | 74.9% | — |

## Multimodal

- Gemini 2.5 Pro: 44.5 (#16)
- Ministral 8B: —

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |

## Multilingual

- Gemini 2.5 Pro: 55.5 (#30)
- Ministral 8B: 35.3 (#242)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| LMArena Non-English | 1452 | 1165 |
| LMArena Chinese | 1507 | 1193 |
| LMArena Russian | 1460 | 1195 |
| LMArena French | 1473 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1462 | — |
| LMArena Korean | 1435 | — |
| LMArena Spanish | 1473 | — |

## Instruction Following

- Gemini 2.5 Pro: 75.2 (#71)
- Ministral 8B: 60.7 (#245)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | 1436 | 1161 |
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |

## Long Context

- Gemini 2.5 Pro: 59.7 (#5)
- Ministral 8B: 36.7 (#222)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| LMArena Longer Query | 1449 | 1212 |
| Fiction.LiveBench | 91.7% | — |

## Writing & Preference

- Gemini 2.5 Pro: 63.9 (#60)
- Ministral 8B: 39.8 (#241)

| Benchmark | Gemini 2.5 Pro | Ministral 8B |
|---|---|---|
| LMArena Text | 1458 | 1191 |
| LMArena Creative Writing | 1453 | 1175 |
| LMArena Multi-Turn | 1453 | 1166 |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LiveBench Language | 67.8% | — |

## FAQ

### Is Gemini 2.5 Pro better than Ministral 8B?

Gemini 2.5 Pro is the stronger model overall, scoring 44.9 to 27.8 on the Noometry Index. Ministral 8B costs 34× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Pro or Ministral 8B?

Ministral 8B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.

### Is Gemini 2.5 Pro or Ministral 8B better for coding?

Gemini 2.5 Pro scores higher on coding benchmarks: 42.8 versus 34.4 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Pro does, with 1.05M tokens against 128K.

### How many benchmarks do Gemini 2.5 Pro and Ministral 8B share?

16 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Ministral 8B has 17.