Model comparison

Inkling vs Qwen1.5-14B

Inkling is the stronger model overall, scoring 44.1 to 32.7 on the Noometry Index.

Last verified . 16 shared benchmarks.

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

Qwen1.5-14B Alibaba (Qwen)

32.7

Rank #253 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Inkling scores higher in 7 categories and Qwen1.5-14B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Inkling leads 65.2 to 33.6.

Side by side

Inkling and Qwen1.5-14B specifications
InklingQwen1.5-14B
ProviderThinking Machines LabAlibaba (Qwen)
Noometry Index44.132.7
Released2026-07-152024-02-04
WeightsOpenOpen
Context window66K—
Max output66K—
Input $ / M tokens$1.87—
Output $ / M tokens$4.68—
Results tracked4117

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Category by category

Coding Inkling leads

Inkling: 34.5 (#234), Qwen1.5-14B: 33.1 (#263)

Coding benchmarks
BenchmarkInklingQwen1.5-14B
LMArena Coding14641138
FrontierCode14%—
LMArena WebDev1413—
FrontierSWE4.1%—
SciCode47%—
WeirdML32.3%—
ALE-Bench946—

Agentic & Tool Use Not comparable

Inkling: 29.6 (#85), Qwen1.5-14B: —

Agentic & Tool Use benchmarks
BenchmarkInklingQwen1.5-14B
APEX-Agents33.8%—
τ²-bench Banking25%—

Reasoning Inkling leads

Inkling: 40.4 (#56), Qwen1.5-14B: 21.4 (#223)

Reasoning benchmarks
BenchmarkInklingQwen1.5-14B
LMArena Hard Prompts14511113
ARC-AGI-236.5%—
SimpleBench50%—
ARC-AGI-179.5%—
CritPt5.4%—
Chess Puzzles21%—
DTBench87.5%—
LMCA37.6%—
Epoch Capabilities Index148.54—

Math Qwen1.5-14B leads

Inkling: 31.3 (#225), Qwen1.5-14B: 32.4 (#215)

Math benchmarks
BenchmarkInklingQwen1.5-14B
LMArena Math14791125
FrontierMath (Tiers 1-3)33.3%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202588.9%—
ProofBench0%—

Knowledge Inkling leads

Inkling: 55.1 (#49), Qwen1.5-14B: 29.8 (#232)

Knowledge benchmarks
BenchmarkInklingQwen1.5-14B
LMArena Expert14651094
GPQA Diamond88.3%—
SimpleQA Verified40.3%—
MMLU—68.6%

Multilingual Inkling leads

Inkling: 54.0 (#52), Qwen1.5-14B: 30.7 (#262)

Multilingual benchmarks
BenchmarkInklingQwen1.5-14B
LMArena Non-English14341095
LMArena Chinese14901147
LMArena French14581116
LMArena German14461043
LMArena Japanese14291019
LMArena Russian14291046
LMArena Spanish14481085
LMArena Korean1404—

Instruction Following Inkling leads

Inkling: 75.1 (#71), Qwen1.5-14B: 56.8 (#271)

Instruction Following benchmarks
BenchmarkInklingQwen1.5-14B
LMArena Instruction Following14261102

Long Context Inkling leads

Inkling: 43.8 (#86), Qwen1.5-14B: 33.7 (#257)

Long Context benchmarks
BenchmarkInklingQwen1.5-14B
LMArena Longer Query14341113

Writing & Preference Inkling leads

Inkling: 65.2 (#51), Qwen1.5-14B: 33.6 (#276)

Writing & Preference benchmarks
BenchmarkInklingQwen1.5-14B
LMArena Text14411128
LMArena Creative Writing13871091
LMArena Multi-Turn14361110
EQ-Bench Creative Writing1611—
EQ-Bench 41226—

Frequently asked questions

Is Inkling better than Qwen1.5-14B?

Inkling is the stronger model overall, scoring 44.1 to 32.7 on the Noometry Index.

Is Inkling or Qwen1.5-14B better for coding?

Inkling scores higher on coding benchmarks: 34.5 versus 33.1 in the Noometry coding category.

How many benchmarks do Inkling and Qwen1.5-14B share?

16 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen1.5-14B has 17.

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