Model comparison

Inkling-Small vs Magistral Small

Inkling-Small is the stronger model overall, scoring 46.5 to 30.2 on the Noometry Index.

Last verified . 8 shared benchmarks.

Inkling-Small Thinking Machines Lab

46.5

Rank #63 Confirmed

Magistral Small Mistral AI

30.2

Rank #296 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Inkling-Small scores higher in 4 categories and Magistral Small in 0 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Inkling-Small leads 38.6 to 6.8.
  • The biggest single-benchmark swing is ARC-AGI-1: 84% for Inkling-Small and 5% for Magistral Small.
  • Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $0.50 / $1.50 for Magistral Small.
  • Inkling-Small accepts more context: 524K tokens versus 128K.

Side by side

Inkling-Small and Magistral Small specifications
Inkling-SmallMagistral Small
ProviderThinking Machines LabMistral AI
Noometry Index46.530.2
Released2026-07-152025-06-10
WeightsOpenOpen
Context window524K128K
Max output1.05M40K
Input $ / M tokens$0.45$0.50
Output $ / M tokens$1.20$1.50
Results tracked3310

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Category by category

Coding Inkling-Small leads

Inkling-Small: 43.6 (#85), Magistral Small: 38.4 (#176)

Coding benchmarks
BenchmarkInkling-SmallMagistral Small
SciCode48.7%35.2%
LMArena WebDev1409—
LMArena Coding1451—

Reasoning Inkling-Small leads

Inkling-Small: 38.6 (#63), Magistral Small: 6.8 (#350)

Reasoning benchmarks
BenchmarkInkling-SmallMagistral Small
ARC-AGI-240.1%0%
ARC-AGI-184%5%
CritPt8.3%0.3%
Chess Puzzles18%3%
Epoch Capabilities Index150.15133.19
Kagi LLM Benchmark—6.3%
LMArena Hard Prompts1423—
Mystery Game Puzzles6%—
DTBench—61.3%

Math Inkling-Small leads

Inkling-Small: 45.1 (#77), Magistral Small: 26.2 (#261)

Math benchmarks
BenchmarkInkling-SmallMagistral Small
OTIS Mock AIME 2024-202590%30%
FrontierMath (Tiers 1-3)46.3%—
FrontierMath Tier 417.1%—
ProofBench6%—
LMArena Math1459—

Knowledge Inkling-Small leads

Inkling-Small: 48.2 (#77), Magistral Small: 30.9 (#223)

Knowledge benchmarks
BenchmarkInkling-SmallMagistral Small
GPQA Diamond88.5%56.1%
SimpleQA Verified19.1%—
LMArena Expert1442—

Multimodal Not comparable

Inkling-Small: 39.1 (#62), Magistral Small: —

Multimodal benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Vision1235—

Multilingual Not comparable

Inkling-Small: 51.7 (#104), Magistral Small: —

Multilingual benchmarks
BenchmarkInkling-SmallMagistral Small
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), Magistral Small: —

Instruction Following benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Instruction Following1399—

Long Context Not comparable

Inkling-Small: 42.7 (#118), Magistral Small: —

Long Context benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Longer Query1401—

Writing & Preference Not comparable

Inkling-Small: 59.6 (#107), Magistral Small: —

Writing & Preference benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Text1414—
LMArena Creative Writing1331—
EQ-Bench Creative Writing1491—
LMArena Multi-Turn1418—

Frequently asked questions

Is Inkling-Small better than Magistral Small?

Inkling-Small is the stronger model overall, scoring 46.5 to 30.2 on the Noometry Index.

Which is cheaper, Inkling-Small or Magistral Small?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; Magistral Small lists at $0.50 and $1.50.

Is Inkling-Small or Magistral Small better for coding?

Inkling-Small scores higher on coding benchmarks: 43.6 versus 38.4 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Inkling-Small and Magistral Small share?

8 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and Magistral Small has 10.

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