Model comparison

Inkling-Small vs Magistral Small

Inkling-Small is the stronger model overall, scoring 46.5 to 29.9 on the Noometry Index.

Last verified . 8 shared benchmarks.

Inkling-Small Thinking Machines Lab

46.5

Rank #57 Confirmed

Magistral Small Mistral AI

29.9

Rank #289 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 39.0 to 6.9.
  • 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 Index46.529.9
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: 43.3 (#80), Magistral Small: 37.8 (#172)

Coding benchmarks
BenchmarkInkling-SmallMagistral Small
SciCode48.7%35.2%
LMArena WebDev1408—
LMArena Coding1451—

Reasoning Inkling-Small leads

Inkling-Small: 39.0 (#53), Magistral Small: 6.9 (#345)

Reasoning benchmarks
BenchmarkInkling-SmallMagistral Small
ARC-AGI-240.1%0%
ARC-AGI-184%5%
CritPt8.3%0.3%
Chess Puzzles18%3%
Epoch Capabilities Index150.13133.19
Kagi LLM Benchmark—6.3%
LMArena Hard Prompts1424—
Mystery Game Puzzles6%—
DTBench—61.3%

Math Inkling-Small leads

Inkling-Small: 44.9 (#65), Magistral Small: 24.9 (#253)

Math benchmarks
BenchmarkInkling-SmallMagistral Small
OTIS Mock AIME 2024-202590%30%
FrontierMath (Tiers 1-3)46.3%—
FrontierMath Tier 417.1%—
ProofBench6%—
LMArena Math1453—

Knowledge Inkling-Small leads

Inkling-Small: 48.3 (#71), Magistral Small: 30.9 (#215)

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

Multimodal Not comparable

Inkling-Small: 38.4 (#59), Magistral Small: —

Multimodal benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Vision1235—

Multilingual Not comparable

Inkling-Small: 51.7 (#102), Magistral Small: —

Multilingual benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Non-English1400—
LMArena Chinese1458—
LMArena French1438—
LMArena German1412—
LMArena Japanese1399—
LMArena Korean1355—
LMArena Russian1392—
LMArena Spanish1426—

Instruction Following Not comparable

Inkling-Small: 73.9 (#112), Magistral Small: —

Instruction Following benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Instruction Following1397—

Long Context Not comparable

Inkling-Small: 42.7 (#113), Magistral Small: —

Long Context benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Longer Query1401—

Writing & Preference Not comparable

Inkling-Small: 59.8 (#102), Magistral Small: —

Writing & Preference benchmarks
BenchmarkInkling-SmallMagistral Small
LMArena Text1413—
LMArena Creative Writing1330—
EQ-Bench Creative Writing1491—
LMArena Multi-Turn1420—

Frequently asked questions

Is Inkling-Small better than Magistral Small?

Inkling-Small is the stronger model overall, scoring 46.5 to 29.9 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: 43.3 versus 37.8 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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