# Codestral vs Gemini 2.5 Flash

> Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 30.6 on the Noometry Index. Codestral costs 1.9× less per token, which makes it the better buy when Gemini 2.5 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/codestral-vs-gemini-2-5-flash
- Last updated: 2026-10-11
- Shared benchmarks: 3

## Summary

- They share 3 benchmarks with published results for both. Codestral scores higher in 1 category and Gemini 2.5 Flash in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in coding, where Gemini 2.5 Flash leads 35.8 to 27.3.
- The biggest single-benchmark swing is Aider Polyglot: 11.1% for Codestral and 55.1% for Gemini 2.5 Flash.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.30 / $2.50 for Gemini 2.5 Flash.
- Gemini 2.5 Flash accepts more context: 1.05M tokens versus 256K.

## Snapshot

| | Codestral | Gemini 2.5 Flash |
|---|---|---|
| Provider | Mistral AI | Google |
| Noometry Index | 30.6 | 39.3 |
| Rank | 290 | 170 |
| Context | 256K | 1.05M |
| Input $/M | $0.30 | $0.30 |
| Output $/M | $0.90 | $2.50 |
| Weights | Proprietary | Proprietary |

## Coding

- Codestral: 27.3 (#321)
- Gemini 2.5 Flash: 35.8 (#220)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| Aider Polyglot | 11.1% | 55.1% |
| ALE-Bench | 137.78 | 661.88 |
| SWE-bench Verified (bash only) | — | 28.7% |
| WeirdML | — | 41.9% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1424 |
| BigCodeBench Complete | 52.5% | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Agentic & Tool Use

- Codestral: —
- Gemini 2.5 Flash: 30.8 (#74)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| Terminal-Bench | — | 17.1% |
| Berkeley Function Calling Leaderboard | — | 56.2% |
| TheAgentCompany | — | 41.1% |
| BALROG | — | 33.5% |
| Vending-Bench 2 | — | 548.84 |

## Reasoning

- Codestral: 19.8 (#251)
- Gemini 2.5 Flash: 18.1 (#286)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | 56.8% |
| ARC-AGI-2 | — | 2.5% |
| SimpleBench | — | 41.2% |
| ARC-AGI-1 | — | 33.3% |
| CritPt | — | 1.1% |
| EnigmaEval | — | 2.7% |
| LMArena Hard Prompts | — | 1422 |
| DTBench | — | 76.5% |
| LMCA | — | 27.5% |
| Epoch Capabilities Index | — | 143.03 |
| ForecastBench | — | 60.6 |

## Math

- Codestral: —
- Gemini 2.5 Flash: 39.9 (#98)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 73.1% |
| Omni-MATH | — | 38.5% |
| LMArena Math | — | 1415 |
| FrontierMath (Feb 2025 set) | — | 4.8% |
| FrontierMath Tier 4 (v1) | — | 4.2% |

## Knowledge

- Codestral: —
- Gemini 2.5 Flash: 36.4 (#168)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| Humanity's Last Exam | — | 12.1% |
| MMLU-Pro | — | 63.9% |
| Confabulations | — | 16.8% |
| Vectara Hallucination Rate | — | 7.8% |
| GPQA (HELM) | — | 39% |
| LMArena Expert | — | 1426 |

## Multimodal

- Codestral: —
- Gemini 2.5 Flash: 41.8 (#32)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| LMArena Vision | — | 1253 |
| GeoBench | — | 76% |
| VPCT | — | 46.2% |
| SpatialViz-Bench | — | 36.9% |

## Multilingual

- Codestral: —
- Gemini 2.5 Flash: 52.3 (#88)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| LMArena Non-English | — | 1409 |
| LMArena Chinese | — | 1450 |
| LMArena French | — | 1433 |
| LMArena German | — | 1418 |
| LMArena Japanese | — | 1405 |
| LMArena Korean | — | 1385 |
| LMArena Russian | — | 1415 |
| LMArena Spanish | — | 1421 |

## Instruction Following

- Codestral: —
- Gemini 2.5 Flash: 75.7 (#54)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| IFEval | — | 89.8% |
| LMArena Instruction Following | — | 1405 |

## Long Context

- Codestral: —
- Gemini 2.5 Flash: 47.5 (#17)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| Fiction.LiveBench | — | 77.8% |
| LMArena Longer Query | — | 1419 |

## Writing & Preference

- Codestral: —
- Gemini 2.5 Flash: 53.8 (#157)

| Benchmark | Codestral | Gemini 2.5 Flash |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1400 |
| Short-Story Creative Writing | — | 76.5% |
| EQ-Bench Creative Writing | — | 1137 |
| WildBench | — | 81.7% |
| LMArena Multi-Turn | — | 1408 |

## FAQ

### Is Codestral better than Gemini 2.5 Flash?

Gemini 2.5 Flash is the stronger model overall, scoring 39.3 to 30.6 on the Noometry Index. Codestral costs 1.9× less per token, which makes it the better buy when Gemini 2.5 Flash's lead doesn't matter for your workload.

### Which is cheaper, Codestral or Gemini 2.5 Flash?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Gemini 2.5 Flash lists at $0.30 and $2.50.

### Is Codestral or Gemini 2.5 Flash better for coding?

Gemini 2.5 Flash scores higher on coding benchmarks: 35.8 versus 27.3 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash does, with 1.05M tokens against 256K.

### How many benchmarks do Codestral and Gemini 2.5 Flash share?

3 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Gemini 2.5 Flash has 54.