Noometry

Model comparison

Inkling-Small vs MiniMax M1

Inkling-Small is the stronger model overall, scoring 46.5 to 40.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

Inkling-Small Thinking Machines Lab

46.5

Rank #63 Confirmed

MiniMax M1 MiniMax

40.3

Rank #150 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Inkling-Small scores higher in 8 categories and MiniMax M1 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Inkling-Small leads 48.2 to 36.4.
  • Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $0.55 / $2.20 for MiniMax M1.
  • MiniMax M1 accepts more context: 1M tokens versus 524K.

Side by side

Inkling-SmallMiniMax M1
ProviderThinking Machines LabMiniMax
Noometry Index46.540.3
Released2026-07-152025-06-13
WeightsOpenOpen
Context window524K1M
Max output1.05M40K
Input $ / M tokens$0.45$0.55
Output $ / M tokens$1.20$2.20
Results tracked3318

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Category by category

Coding Inkling-Small leads

Inkling-Small: 43.6 (#85), MiniMax M1: 39.9 (#153)

BenchmarkInkling-SmallMiniMax M1
LMArena Coding14511359
LMArena WebDev1409—
SciCode48.7%—

Reasoning Inkling-Small leads

Inkling-Small: 38.6 (#63), MiniMax M1: 26.9 (#126)

BenchmarkInkling-SmallMiniMax M1
LMArena Hard Prompts14231339
ARC-AGI-240.1%—
ARC-AGI-184%—
CritPt8.3%—
Chess Puzzles18%—
Mystery Game Puzzles6%—
Epoch Capabilities Index150.15—

Math Inkling-Small leads

Inkling-Small: 45.1 (#77), MiniMax M1: 37.5 (#151)

BenchmarkInkling-SmallMiniMax M1
LMArena Math14591361
FrontierMath (Tiers 1-3)46.3%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202590%—
ProofBench6%—

Knowledge Inkling-Small leads

Inkling-Small: 48.2 (#77), MiniMax M1: 36.4 (#170)

BenchmarkInkling-SmallMiniMax M1
LMArena Expert14421317
GPQA Diamond88.5%—
SimpleQA Verified19.1%—

Multimodal Not comparable

Inkling-Small: 39.1 (#62), MiniMax M1: —

BenchmarkInkling-SmallMiniMax M1
LMArena Vision1235—

Multilingual Inkling-Small leads

Inkling-Small: 51.7 (#104), MiniMax M1: 45.8 (#163)

BenchmarkInkling-SmallMiniMax M1
LMArena Non-English14021319
LMArena Chinese14651360
LMArena French14361370
LMArena German14051350
LMArena Japanese14051217
LMArena Korean13631266
LMArena Russian13911329
LMArena Spanish14281353

Instruction Following Inkling-Small leads

Inkling-Small: 73.8 (#114), MiniMax M1: 69.3 (#174)

BenchmarkInkling-SmallMiniMax M1
LMArena Instruction Following13991312

Long Context Inkling-Small leads

Inkling-Small: 42.7 (#118), MiniMax M1: 41.4 (#141)

BenchmarkInkling-SmallMiniMax M1
LMArena Longer Query14011326
Fiction.LiveBench—69.4%

Writing & Preference Inkling-Small leads

Inkling-Small: 59.6 (#107), MiniMax M1: 53.1 (#161)

BenchmarkInkling-SmallMiniMax M1
LMArena Text14141343
LMArena Creative Writing13311298
LMArena Multi-Turn14181335
EQ-Bench Creative Writing1491—

Frequently asked questions

Is Inkling-Small better than MiniMax M1?

Inkling-Small is the stronger model overall, scoring 46.5 to 40.3 on the Noometry Index.

Which is cheaper, Inkling-Small or MiniMax M1?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; MiniMax M1 lists at $0.55 and $2.20.

Is Inkling-Small or MiniMax M1 better for coding?

Inkling-Small scores higher on coding benchmarks: 43.6 versus 39.9 in the Noometry coding category.

Which has the bigger context window?

MiniMax M1 does, with 1M tokens against 524K.

How many benchmarks do Inkling-Small and MiniMax M1 share?

17 benchmarks have published results for both models. Inkling-Small has 33 scored results on Noometry and MiniMax M1 has 18.

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