Model comparison

Inkling vs Mistral

Inkling is the stronger model overall, scoring 44.1 to 29.4 on the Noometry Index.

Last verified . 17 shared benchmarks.

Inkling Thinking Machines Lab

44.1

Rank #75 Confirmed

Mistral Mistral AI

29.4

Rank #297 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Inkling scores higher in 8 categories and Mistral in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Inkling leads 55.2 to 16.3.
  • Inkling has downloadable open weights; the other is API-only.

Side by side

Inkling and Mistral specifications
InklingMistral
ProviderThinking Machines LabMistral AI
Noometry Index44.129.4
Released2026-07-15—
WeightsOpenProprietary
Context window66K—
Max output66K—
Input $ / M tokens$1.87—
Output $ / M tokens$4.68—
Results tracked4122

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Category by category

Coding Too close to call

Inkling: 34.1 (#229), Mistral: 33.2 (#249)

Coding benchmarks
BenchmarkInklingMistral
LMArena Coding14631162
FrontierCode14%—
LMArena WebDev1412—
FrontierSWE4.1%—
SciCode47%—
WeirdML32.3%—
ALE-Bench946—

Agentic & Tool Use Not comparable

Inkling: 29.5 (#76), Mistral: —

Agentic & Tool Use benchmarks
BenchmarkInklingMistral
APEX-Agents33.8%—
τ²-bench Banking25%—

Reasoning Inkling leads

Inkling: 40.6 (#48), Mistral: 21.3 (#199)

Reasoning benchmarks
BenchmarkInklingMistral
LMArena Hard Prompts14521149
ARC-AGI-236.5%—
SimpleBench50%—
ARC-AGI-179.5%—
CritPt5.4%—
Chess Puzzles21%—
DTBench87.5%—
LMCA37.6%—
Epoch Capabilities Index148.6—

Math Inkling leads

Inkling: 31.2 (#198), Mistral: 20.5 (#275)

Math benchmarks
BenchmarkInklingMistral
LMArena Math14821180
FrontierMath (Tiers 1-3)33.3%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202588.9%—
ProofBench0%—
Omni-MATH—7.2%

Knowledge Inkling leads

Inkling: 55.2 (#44), Mistral: 16.3 (#283)

Knowledge benchmarks
BenchmarkInklingMistral
LMArena Expert14681125
GPQA Diamond88.3%—
SimpleQA Verified40.3%—
MMLU-Pro—27.7%
GPQA (HELM)—30.3%

Multilingual Inkling leads

Inkling: 54.2 (#49), Mistral: 33.0 (#249)

Multilingual benchmarks
BenchmarkInklingMistral
LMArena Non-English14341129
LMArena Chinese14951109
LMArena French14531179
LMArena German14561155
LMArena Japanese14281012
LMArena Korean14011032
LMArena Russian14301168
LMArena Spanish14421143

Instruction Following Inkling leads

Inkling: 75.3 (#65), Mistral: 52.9 (#283)

Instruction Following benchmarks
BenchmarkInklingMistral
LMArena Instruction Following14271152
IFEval—56.8%

Long Context Inkling leads

Inkling: 43.9 (#79), Mistral: 35.0 (#240)

Long Context benchmarks
BenchmarkInklingMistral
LMArena Longer Query14361154

Writing & Preference Inkling leads

Inkling: 65.5 (#48), Mistral: 37.2 (#255)

Writing & Preference benchmarks
BenchmarkInklingMistral
LMArena Text14431165
LMArena Creative Writing13901158
LMArena Multi-Turn14361147
EQ-Bench Creative Writing1611—
WildBench—66%
EQ-Bench 41226—

Frequently asked questions

Is Inkling better than Mistral?

Inkling is the stronger model overall, scoring 44.1 to 29.4 on the Noometry Index.

Is Inkling or Mistral better for coding?

They score almost the same on coding (34.1 vs 33.2); test both on your own repository before choosing.

How many benchmarks do Inkling and Mistral share?

17 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Mistral has 22.

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