Model comparison

Inkling-Small vs Pixtral Large

Inkling-Small is the stronger model overall, scoring 46.5 to 32.2 on the Noometry Index.

Last verified . 2 shared benchmarks.

Inkling-Small Thinking Machines Lab

46.5

Rank #63 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 2 benchmarks with published results for both. Inkling-Small scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Inkling-Small leads 59.6 to 32.9.
  • Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • Inkling-Small accepts more context: 524K tokens versus 128K.

Side by side

Inkling-Small and Pixtral Large specifications
Inkling-SmallPixtral Large
ProviderThinking Machines LabMistral AI
Noometry Index46.532.2
Released2026-07-152024-11-01
WeightsOpenOpen
Context window524K128K
Max output1.05M128K
Input $ / M tokens$0.45$2
Output $ / M tokens$1.20$6
Results tracked333

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Category by category

Coding Not comparable

Inkling-Small: 43.6 (#85), Pixtral Large: —

Coding benchmarks
BenchmarkInkling-SmallPixtral Large
LMArena WebDev1409—
SciCode48.7%—
LMArena Coding1451—

Reasoning Inkling-Small leads

Inkling-Small: 38.6 (#63), Pixtral Large: 21.7 (#218)

Reasoning benchmarks
BenchmarkInkling-SmallPixtral Large
ARC-AGI-240.1%—
ARC-AGI-184%—
CritPt8.3%—
Chess Puzzles18%—
EnigmaEval—0.8%
LMArena Hard Prompts1423—
Mystery Game Puzzles6%—
Epoch Capabilities Index150.15—

Math Not comparable

Inkling-Small: 45.1 (#77), Pixtral Large: —

Math benchmarks
BenchmarkInkling-SmallPixtral Large
FrontierMath (Tiers 1-3)46.3%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202590%—
ProofBench6%—
LMArena Math1459—

Knowledge Not comparable

Inkling-Small: 48.2 (#77), Pixtral Large: —

Knowledge benchmarks
BenchmarkInkling-SmallPixtral Large
GPQA Diamond88.5%—
SimpleQA Verified19.1%—
LMArena Expert1442—

Multimodal Inkling-Small leads

Inkling-Small: 39.1 (#62), Pixtral Large: 30.6 (#111)

Multimodal benchmarks
BenchmarkInkling-SmallPixtral Large
LMArena Vision12351089

Multilingual Not comparable

Inkling-Small: 51.7 (#104), Pixtral Large: —

Multilingual benchmarks
BenchmarkInkling-SmallPixtral Large
LMArena Non-English1402—
LMArena Chinese1465—
LMArena French1436—
LMArena German1405—
LMArena Japanese1405—
LMArena Korean1363—
LMArena Russian1391—
LMArena Spanish1428—

Instruction Following Not comparable

Inkling-Small: 73.8 (#114), Pixtral Large: —

Instruction Following benchmarks
BenchmarkInkling-SmallPixtral Large
LMArena Instruction Following1399—

Long Context Not comparable

Inkling-Small: 42.7 (#118), Pixtral Large: —

Long Context benchmarks
BenchmarkInkling-SmallPixtral Large
LMArena Longer Query1401—

Writing & Preference Inkling-Small leads

Inkling-Small: 59.6 (#107), Pixtral Large: 32.9 (#278)

Writing & Preference benchmarks
BenchmarkInkling-SmallPixtral Large
EQ-Bench Creative Writing1491988
LMArena Text1414—
LMArena Creative Writing1331—
LMArena Multi-Turn1418—

Frequently asked questions

Is Inkling-Small better than Pixtral Large?

Inkling-Small is the stronger model overall, scoring 46.5 to 32.2 on the Noometry Index.

Which is cheaper, Inkling-Small or Pixtral Large?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

Inkling-Small does, with 524K tokens against 128K.

How many benchmarks do Inkling-Small and Pixtral Large share?

2 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Pixtral Large has 3.

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