Model comparison

Codestral vs DeepSeek V4 Flash

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 30.6 on the Noometry Index.

Last verified . 2 shared benchmarks.

Codestral Mistral AI

30.6

Rank #290 Reported

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Codestral scores higher in 0 categories and DeepSeek V4 Flash in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 19.8.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 32.5% for Codestral and 52.2% for DeepSeek V4 Flash.
  • DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.30 / $0.90 for Codestral.
  • DeepSeek V4 Flash accepts more context: 1M tokens versus 256K.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

Codestral and DeepSeek V4 Flash specifications
CodestralDeepSeek V4 Flash
ProviderMistral AIDeepSeek
Noometry Index30.653.6
Released2024-05-292026-04-24
WeightsProprietaryOpen
Context window256K1M
Max output8K393K
Input $ / M tokens$0.30$0.15
Output $ / M tokens$0.90$0.60
Results tracked741

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Category by category

Coding DeepSeek V4 Flash leads

Codestral: 27.3 (#321), DeepSeek V4 Flash: 47.9 (#59)

Coding benchmarks
BenchmarkCodestralDeepSeek V4 Flash
ALE-Bench137.781,306
FrontierCode—18.8%
Aider Polyglot11.1%—
LMArena WebDev—1582
SciCode—49.9%
WeirdML—63%
BigCodeBench Instruct41.8%—
LMArena Coding—1457
BigCodeBench Complete52.5%—
HumanEval+73.8%—
MBPP+61.9%—

Reasoning DeepSeek V4 Flash leads

Codestral: 19.8 (#251), DeepSeek V4 Flash: 53.7 (#30)

Reasoning benchmarks
BenchmarkCodestralDeepSeek V4 Flash
Kagi LLM Benchmark32.5%52.2%
ARC-AGI-2—61.4%
SimpleBench—61.1%
NYT Connections (extended)—89.6%
ARC-AGI-1—89%
CritPt—16.6%
Chess Puzzles—33%
LMArena Hard Prompts—1444
Mystery Game Puzzles—34%
DTBench—90.9%
LMCA—41.7%
Epoch Capabilities Index—154.49

Math Not comparable

Codestral: —, DeepSeek V4 Flash: 60.3 (#37)

Math benchmarks
BenchmarkCodestralDeepSeek V4 Flash
FrontierMath (Tiers 1-3)—57.5%
FrontierMath Tier 4—24.4%
MathArena Final-Answer Competitions—76.5%
OTIS Mock AIME 2024-2025—94.4%
ProofBench—56%
LMArena Math—1427

Knowledge Not comparable

Codestral: —, DeepSeek V4 Flash: 55.4 (#48)

Knowledge benchmarks
BenchmarkCodestralDeepSeek V4 Flash
GPQA Diamond—91%
SimpleQA Verified—33.6%
LMArena Expert—1441

Multilingual Not comparable

Codestral: —, DeepSeek V4 Flash: 53.0 (#72)

Multilingual benchmarks
BenchmarkCodestralDeepSeek V4 Flash
LMArena Non-English—1420
LMArena Chinese—1468
LMArena French—1439
LMArena German—1418
LMArena Japanese—1406
LMArena Korean—1384
LMArena Russian—1428
LMArena Spanish—1436

Instruction Following Not comparable

Codestral: —, DeepSeek V4 Flash: 74.9 (#81)

Instruction Following benchmarks
BenchmarkCodestralDeepSeek V4 Flash
LMArena Instruction Following—1421

Long Context Not comparable

Codestral: —, DeepSeek V4 Flash: 43.8 (#85)

Long Context benchmarks
BenchmarkCodestralDeepSeek V4 Flash
LMArena Longer Query—1434

Writing & Preference Not comparable

Codestral: —, DeepSeek V4 Flash: 63.8 (#61)

Writing & Preference benchmarks
BenchmarkCodestralDeepSeek V4 Flash
LMArena Text—1432
LMArena Creative Writing—1403
EQ-Bench Creative Writing—1559
LMArena Multi-Turn—1449

Frequently asked questions

Is Codestral better than DeepSeek V4 Flash?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 30.6 on the Noometry Index.

Which is cheaper, Codestral or DeepSeek V4 Flash?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Codestral lists at $0.30 and $0.90.

Is Codestral or DeepSeek V4 Flash better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 27.3 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Codestral and DeepSeek V4 Flash share?

2 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and DeepSeek V4 Flash has 41.

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