Model comparison

Inkling vs Qwen-14B

Inkling is the stronger model overall, scoring 44.1 to 31.4 on the Noometry Index.

Last verified . 11 shared benchmarks.

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Inkling scores higher in 7 categories and Qwen-14B in 0 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Inkling leads 65.2 to 27.6.

Side by side

Inkling and Qwen-14B specifications
InklingQwen-14B
ProviderThinking Machines LabAlibaba (Qwen)
Noometry Index44.131.4
Released2026-07-152023-09-24
WeightsOpenOpen
Context window66K—
Max output66K—
Input $ / M tokens$1.87—
Output $ / M tokens$4.68—
Results tracked4118

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Category by category

Coding Inkling leads

Inkling: 34.5 (#234), Qwen-14B: 31.2 (#288)

Coding benchmarks
BenchmarkInklingQwen-14B
LMArena Coding14641071
FrontierCode14%—
LMArena WebDev1413—
FrontierSWE4.1%—
SciCode47%—
WeirdML32.3%—
ALE-Bench946—

Agentic & Tool Use Not comparable

Inkling: 29.6 (#85), Qwen-14B: —

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

Reasoning Inkling leads

Inkling: 40.4 (#56), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
BenchmarkInklingQwen-14B
LMArena Hard Prompts14511027
Epoch Capabilities Index148.54113.03
ARC-AGI-236.5%—
SimpleBench50%—
ARC-AGI-179.5%—
CritPt5.4%—
Chess Puzzles21%—
DTBench87.5%—
LMCA37.6%—
BIG-Bench Hard—55%
LAMBADA—71.1%
PIQA—79.9%

Math Too close to call

Inkling: 31.3 (#225), Qwen-14B: 31.2 (#227)

Math benchmarks
BenchmarkInklingQwen-14B
LMArena Math14791068
FrontierMath (Tiers 1-3)33.3%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202588.9%—
ProofBench0%—
GSM8K—61.3%

Knowledge Not comparable

Inkling: 55.1 (#49), Qwen-14B: —

Knowledge benchmarks
BenchmarkInklingQwen-14B
GPQA Diamond88.3%—
SimpleQA Verified40.3%—
LMArena Expert1465—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multilingual Inkling leads

Inkling: 54.0 (#52), Qwen-14B: 27.5 (#275)

Multilingual benchmarks
BenchmarkInklingQwen-14B
LMArena Non-English14341041
LMArena Chinese14901077
LMArena French1458—
LMArena German1446—
LMArena Japanese1429—
LMArena Korean1404—
LMArena Russian1429—
LMArena Spanish1448—

Instruction Following Inkling leads

Inkling: 75.1 (#71), Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
BenchmarkInklingQwen-14B
LMArena Instruction Following14261031

Long Context Inkling leads

Inkling: 43.8 (#86), Qwen-14B: 31.3 (#280)

Long Context benchmarks
BenchmarkInklingQwen-14B
LMArena Longer Query14341028

Writing & Preference Inkling leads

Inkling: 65.2 (#51), Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
BenchmarkInklingQwen-14B
LMArena Text14411051
LMArena Creative Writing13871028
LMArena Multi-Turn14361022
EQ-Bench Creative Writing1611—
EQ-Bench 41226—

Frequently asked questions

Is Inkling better than Qwen-14B?

Inkling is the stronger model overall, scoring 44.1 to 31.4 on the Noometry Index.

Is Inkling or Qwen-14B better for coding?

Inkling scores higher on coding benchmarks: 34.5 versus 31.2 in the Noometry coding category.

How many benchmarks do Inkling and Qwen-14B share?

11 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen-14B has 18.

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