# Codestral vs Gemini 3.5 Flash

> Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 30.6 on the Noometry Index. Codestral costs 7.5× 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/codestral-vs-gemini-3-5-flash
- Last updated: 2026-10-11
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Codestral scores higher in 0 categories and Gemini 3.5 Flash in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.5 Flash leads 62.8 to 19.8.
- Codestral is cheaper at $0.30 / $0.90 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 256K.

## Snapshot

| | Codestral | Gemini 3.5 Flash |
|---|---|---|
| Provider | Mistral AI | Google |
| Noometry Index | 30.6 | 54.2 |
| Rank | 290 | 32 |
| Context | 256K | 1.05M |
| Input $/M | $0.30 | $1.50 |
| Output $/M | $0.90 | $9 |
| Weights | Proprietary | Proprietary |

## Coding

- Codestral: 27.3 (#321)
- Gemini 3.5 Flash: 49.4 (#49)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| ALE-Bench | 137.78 | 911.02 |
| SWE-bench Verified | — | 79.3% |
| DeepSWE | — | 37.4% |
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1499 |
| SciCode | — | 53.1% |
| WeirdML | — | 62.6% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1492 |
| BigCodeBench Complete | 52.5% | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Agentic & Tool Use

- Codestral: —
- Gemini 3.5 Flash: 24.7 (#114)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| APEX-Agents | — | 27.5% |
| GBAEval | — | 6.7% |
| GDP.pdf | — | 14% |
| Vending-Bench 2 | — | 5,396 |

## Reasoning

- Codestral: 19.8 (#251)
- Gemini 3.5 Flash: 62.8 (#18)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| ARC-AGI-2 | — | 72.1% |
| SimpleBench | — | 76.7% |
| Kagi LLM Benchmark | 32.5% | — |
| NYT Connections (extended) | — | 92.6% |
| ARC-AGI-1 | — | 92.5% |
| CritPt | — | 13.1% |
| Chess Puzzles | — | 50% |
| EnigmaEval | — | 25.4% |
| EBR-Bench | — | 4.8% |
| LMArena Hard Prompts | — | 1488 |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 94.7% |
| LMCA | — | 47.1% |
| Surface Evolver Bench | — | 58.1% |
| Epoch Capabilities Index | — | 154.46 |
| ForecastBench | — | 59 |

## Math

- Codestral: —
- Gemini 3.5 Flash: 60.7 (#36)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 62.8% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 76.3% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 31% |
| LMArena Math | — | 1504 |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |

## Knowledge

- Codestral: —
- Gemini 3.5 Flash: 66.3 (#11)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| GPQA Diamond | — | 92.8% |
| SimpleQA Verified | — | 66.2% |
| LMArena Expert | — | 1495 |

## Multimodal

- Codestral: —
- Gemini 3.5 Flash: 45.7 (#15)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| LMArena Vision | — | 1310 |
| Blueprint-Bench 2 | — | 33.6% |
| LMArena Document | — | 1463 |

## Multilingual

- Codestral: —
- Gemini 3.5 Flash: 57.0 (#13)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| LMArena Non-English | — | 1476 |
| LMArena Chinese | — | 1526 |
| LMArena French | — | 1490 |
| LMArena German | — | 1492 |
| LMArena Japanese | — | 1486 |
| LMArena Korean | — | 1451 |
| LMArena Russian | — | 1493 |
| LMArena Spanish | — | 1480 |

## Instruction Following

- Codestral: —
- Gemini 3.5 Flash: 77.0 (#30)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| LMArena Instruction Following | — | 1467 |

## Long Context

- Codestral: —
- Gemini 3.5 Flash: 45.4 (#38)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| LMArena Longer Query | — | 1482 |

## Writing & Preference

- Codestral: —
- Gemini 3.5 Flash: 65.5 (#47)

| Benchmark | Codestral | Gemini 3.5 Flash |
|---|---|---|
| LMArena Text | — | 1482 |
| LMArena Creative Writing | — | 1470 |
| EQ-Bench 4 | — | 1087 |
| LMArena Multi-Turn | — | 1481 |

## FAQ

### Is Codestral better than Gemini 3.5 Flash?

Gemini 3.5 Flash is the stronger model overall, scoring 54.2 to 30.6 on the Noometry Index. Codestral costs 7.5× 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, Codestral or Gemini 3.5 Flash?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Gemini 3.5 Flash lists at $1.50 and $9.

### Is Codestral or Gemini 3.5 Flash better for coding?

Gemini 3.5 Flash scores higher on coding benchmarks: 49.4 versus 27.3 in the Noometry coding category.

### Which has the bigger context window?

Gemini 3.5 Flash does, with 1.05M tokens against 256K.

### How many benchmarks do Codestral and Gemini 3.5 Flash share?

1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and Gemini 3.5 Flash has 54.