Model comparison

Codestral vs Inkling

Inkling is the stronger model overall, scoring 44.1 to 30.6 on the Noometry Index. Codestral costs 5.7× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

Codestral Mistral AI

30.6

Rank #290 Reported

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

Summary

  • They share 1 benchmark with published results for both. Codestral scores higher in 0 categories and Inkling in 2 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Inkling leads 40.4 to 19.8.
  • Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.87 / $4.68 for Inkling.
  • Codestral accepts more context: 256K tokens versus 66K.
  • Inkling has downloadable open weights; the other is API-only.

Side by side

Codestral and Inkling specifications
CodestralInkling
ProviderMistral AIThinking Machines Lab
Noometry Index30.644.1
Released2024-05-292026-07-15
WeightsProprietaryOpen
Context window256K66K
Max output8K66K
Input $ / M tokens$0.30$1.87
Output $ / M tokens$0.90$4.68
Results tracked741

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Category by category

Coding Inkling leads

Codestral: 27.3 (#321), Inkling: 34.5 (#234)

Coding benchmarks
BenchmarkCodestralInkling
ALE-Bench137.78946
FrontierCode—14%
Aider Polyglot11.1%—
LMArena WebDev—1413
FrontierSWE—4.1%
SciCode—47%
WeirdML—32.3%
BigCodeBench Instruct41.8%—
LMArena Coding—1464
BigCodeBench Complete52.5%—
HumanEval+73.8%—
MBPP+61.9%—

Agentic & Tool Use Not comparable

Codestral: —, Inkling: 29.6 (#85)

Agentic & Tool Use benchmarks
BenchmarkCodestralInkling
APEX-Agents—33.8%
τ²-bench Banking—25%

Reasoning Inkling leads

Codestral: 19.8 (#251), Inkling: 40.4 (#56)

Reasoning benchmarks
BenchmarkCodestralInkling
ARC-AGI-2—36.5%
SimpleBench—50%
Kagi LLM Benchmark32.5%—
ARC-AGI-1—79.5%
CritPt—5.4%
Chess Puzzles—21%
LMArena Hard Prompts—1451
DTBench—87.5%
LMCA—37.6%
Epoch Capabilities Index—148.54

Math Not comparable

Codestral: —, Inkling: 31.3 (#225)

Math benchmarks
BenchmarkCodestralInkling
FrontierMath (Tiers 1-3)—33.3%
FrontierMath Tier 4—4.9%
OTIS Mock AIME 2024-2025—88.9%
ProofBench—0%
LMArena Math—1479

Knowledge Not comparable

Codestral: —, Inkling: 55.1 (#49)

Knowledge benchmarks
BenchmarkCodestralInkling
GPQA Diamond—88.3%
SimpleQA Verified—40.3%
LMArena Expert—1465

Multilingual Not comparable

Codestral: —, Inkling: 54.0 (#52)

Multilingual benchmarks
BenchmarkCodestralInkling
LMArena Non-English—1434
LMArena Chinese—1490
LMArena French—1458
LMArena German—1446
LMArena Japanese—1429
LMArena Korean—1404
LMArena Russian—1429
LMArena Spanish—1448

Instruction Following Not comparable

Codestral: —, Inkling: 75.1 (#71)

Instruction Following benchmarks
BenchmarkCodestralInkling
LMArena Instruction Following—1426

Long Context Not comparable

Codestral: —, Inkling: 43.8 (#86)

Long Context benchmarks
BenchmarkCodestralInkling
LMArena Longer Query—1434

Writing & Preference Not comparable

Codestral: —, Inkling: 65.2 (#51)

Writing & Preference benchmarks
BenchmarkCodestralInkling
LMArena Text—1441
LMArena Creative Writing—1387
EQ-Bench Creative Writing—1611
EQ-Bench 4—1226
LMArena Multi-Turn—1436

Frequently asked questions

Is Codestral better than Inkling?

Inkling is the stronger model overall, scoring 44.1 to 30.6 on the Noometry Index. Codestral costs 5.7× less per token, which makes it the better buy when Inkling's lead doesn't matter for your workload.

Which is cheaper, Codestral or Inkling?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Inkling lists at $1.87 and $4.68.

Is Codestral or Inkling better for coding?

Inkling scores higher on coding benchmarks: 34.5 versus 27.3 in the Noometry coding category.

Which has the bigger context window?

Codestral does, with 256K tokens against 66K.

How many benchmarks do Codestral and Inkling share?

1 benchmark has published results for both models. Codestral has 7 scored results on Noometry and Inkling has 41.

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