# Codestral vs DeepSeek V4 Pro

> DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 30.6 on the Noometry Index. Codestral costs 2.2× less per token, which makes it the better buy when DeepSeek V4 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/codestral-vs-deepseek-v4-pro
- Last updated: 2026-10-10
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. Codestral scores higher in 0 categories and DeepSeek V4 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 19.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 32.5% for Codestral and 53.5% for DeepSeek V4 Pro.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.66 / $1.98 for DeepSeek V4 Pro.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 256K.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.

## Snapshot

| | Codestral | DeepSeek V4 Pro |
|---|---|---|
| Provider | Mistral AI | DeepSeek |
| Noometry Index | 30.6 | 54.3 |
| Rank | 290 | 31 |
| Context | 256K | 1M |
| Input $/M | $0.30 | $0.66 |
| Output $/M | $0.90 | $1.98 |
| Weights | Proprietary | Open |

## Coding

- Codestral: 27.3 (#321)
- DeepSeek V4 Pro: 52.4 (#34)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| ALE-Bench | 137.78 | 1,403 |
| SWE-bench Verified | — | 77.6% |
| FrontierCode | — | 28.6% |
| Aider Polyglot | 11.1% | — |
| LMArena WebDev | — | 1582 |
| SciCode | — | 51% |
| WeirdML | — | 66.2% |
| BigCodeBench Instruct | 41.8% | — |
| LMArena Coding | — | 1470 |
| BigCodeBench Complete | 52.5% | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |

## Agentic & Tool Use

- Codestral: —
- DeepSeek V4 Pro: 32.8 (#58)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| APEX-Agents | — | 47.3% |
| Vending-Bench 2 | — | 3,285 |

## Reasoning

- Codestral: 19.8 (#251)
- DeepSeek V4 Pro: 56.5 (#24)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| Kagi LLM Benchmark | 32.5% | 53.5% |
| ARC-AGI-2 | — | 61.3% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | — | 18% |
| Chess Puzzles | — | 47% |
| LMArena Hard Prompts | — | 1461 |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 93.9% |
| LMCA | — | 45.5% |
| Surface Evolver Bench | — | 40% |
| Epoch Capabilities Index | — | 155.31 |
| ForecastBench | — | 56.1 |

## Math

- Codestral: —
- DeepSeek V4 Pro: 64.8 (#30)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 76.6% |
| OTIS Mock AIME 2024-2025 | — | 98.6% |
| ProofBench | — | 50% |
| LMArena Math | — | 1455 |

## Knowledge

- Codestral: —
- DeepSeek V4 Pro: 59.5 (#31)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| GPQA Diamond | — | 91.7% |
| SimpleQA Verified | — | 52.9% |
| Vectara Hallucination Rate | — | 8.6% |
| LMArena Expert | — | 1464 |

## Multilingual

- Codestral: —
- DeepSeek V4 Pro: 54.4 (#45)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| LMArena Non-English | — | 1439 |
| LMArena Chinese | — | 1486 |
| LMArena French | — | 1472 |
| LMArena German | — | 1458 |
| LMArena Japanese | — | 1445 |
| LMArena Korean | — | 1447 |
| LMArena Russian | — | 1453 |
| LMArena Spanish | — | 1458 |

## Instruction Following

- Codestral: —
- DeepSeek V4 Pro: 76.1 (#47)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| LMArena Instruction Following | — | 1448 |

## Long Context

- Codestral: —
- DeepSeek V4 Pro: 45.0 (#51)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| CL-bench Life | — | 13.5% |
| LMArena Longer Query | — | 1458 |

## Writing & Preference

- Codestral: —
- DeepSeek V4 Pro: 65.5 (#46)

| Benchmark | Codestral | DeepSeek V4 Pro |
|---|---|---|
| LMArena Text | — | 1451 |
| LMArena Creative Writing | — | 1446 |
| EQ-Bench Creative Writing | — | 1553 |
| EQ-Bench 4 | — | 1166 |
| LMArena Multi-Turn | — | 1467 |

## FAQ

### Is Codestral better than DeepSeek V4 Pro?

DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 30.6 on the Noometry Index. Codestral costs 2.2× less per token, which makes it the better buy when DeepSeek V4 Pro's lead doesn't matter for your workload.

### Which is cheaper, Codestral or DeepSeek V4 Pro?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; DeepSeek V4 Pro lists at $0.66 and $1.98.

### Is Codestral or DeepSeek V4 Pro better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 27.3 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek V4 Pro does, with 1M tokens against 256K.

### How many benchmarks do Codestral and DeepSeek V4 Pro share?

2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and DeepSeek V4 Pro has 48.