Noometry

Model comparison

Inkling vs QwQ-32B

Inkling is the stronger model overall, scoring 44.1 to 39.8 on the Noometry Index.

Last verified . 22 shared benchmarks.

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

QwQ-32B Alibaba (Qwen)

39.8

Rank #159 Confirmed

Summary

  • They share 22 benchmarks with published results for both. Inkling scores higher in 5 categories and QwQ-32B in 3 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Inkling leads 55.1 to 37.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for Inkling and 59.2% for QwQ-32B.

Side by side

InklingQwQ-32B
ProviderThinking Machines LabAlibaba (Qwen)
Noometry Index44.139.8
Released2026-07-152024-11-28
WeightsOpenOpen
Context window66K—
Max output66K—
Input $ / M tokens$1.87—
Output $ / M tokens$4.68—
Results tracked4136

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Category by category

Coding Too close to call

Inkling: 34.5 (#234), QwQ-32B: 35.4 (#226)

BenchmarkInklingQwQ-32B
LMArena Coding14641333
FrontierCode14%—
Aider Polyglot—20.9%
LMArena WebDev1413—
FrontierSWE4.1%—
SciCode47%—
WeirdML32.3%—
BigCodeBench Instruct—44.6%
LiveBench Coding—72.2%
BigCodeBench Complete—54.4%
ALE-Bench946—

Agentic & Tool Use Not comparable

Inkling: 29.6 (#85), QwQ-32B: —

BenchmarkInklingQwQ-32B
APEX-Agents33.8%—
τ²-bench Banking25%—

Reasoning Inkling leads

Inkling: 40.4 (#56), QwQ-32B: 23.7 (#174)

BenchmarkInklingQwQ-32B
Chess Puzzles21%5%
LMArena Hard Prompts14511325
Epoch Capabilities Index148.54137.6
ARC-AGI-236.5%—
SimpleBench50%—
ARC-AGI-179.5%—
CritPt5.4%—
LiveBench Reasoning—83.5%
DTBench87.5%—
LiveBench Data Analysis—65%
LMCA37.6%—
ForecastBench—58.3
LiveBench—72%

Math QwQ-32B leads

Inkling: 31.3 (#225), QwQ-32B: 38.0 (#143)

BenchmarkInklingQwQ-32B
OTIS Mock AIME 2024-202588.9%59.2%
LMArena Math14791359
FrontierMath (Tiers 1-3)33.3%—
FrontierMath Tier 44.9%—
ProofBench0%—
LiveBench Math—77.8%

Knowledge Inkling leads

Inkling: 55.1 (#49), QwQ-32B: 37.2 (#158)

BenchmarkInklingQwQ-32B
GPQA Diamond88.3%65.3%
LMArena Expert14651324
SimpleQA Verified40.3%—
Confabulations—15.6%

Multilingual Inkling leads

Inkling: 54.0 (#52), QwQ-32B: 44.8 (#176)

BenchmarkInklingQwQ-32B
LMArena Non-English14341305
LMArena Chinese14901378
LMArena French14581336
LMArena German14461313
LMArena Japanese14291262
LMArena Korean14041279
LMArena Russian14291297
LMArena Spanish14481354

Instruction Following Inkling leads

Inkling: 75.1 (#71), QwQ-32B: 72.6 (#137)

BenchmarkInklingQwQ-32B
LMArena Instruction Following14261297
LiveBench Instruction Following—81.8%

Long Context QwQ-32B leads

Inkling: 43.8 (#86), QwQ-32B: 49.0 (#11)

BenchmarkInklingQwQ-32B
LMArena Longer Query14341308
Fiction.LiveBench—83.3%

Writing & Preference Inkling leads

Inkling: 65.2 (#51), QwQ-32B: 50.6 (#180)

BenchmarkInklingQwQ-32B
LMArena Text14411329
LMArena Creative Writing13871288
EQ-Bench Creative Writing16111257
LMArena Multi-Turn14361314
Short-Story Creative Writing—80.2%
EQ-Bench 41226—
LiveBench Language—51.4%

Frequently asked questions

Is Inkling better than QwQ-32B?

Inkling is the stronger model overall, scoring 44.1 to 39.8 on the Noometry Index.

Is Inkling or QwQ-32B better for coding?

They score almost the same on coding (34.5 vs 35.4); test both on your own repository before choosing.

How many benchmarks do Inkling and QwQ-32B share?

22 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and QwQ-32B has 36.

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