Model comparison

Inkling vs Qwen1.5-72B

Inkling is the stronger model overall, scoring 44.1 to 30.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

Qwen1.5-72B Alibaba (Qwen)

30.8

Rank #285 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Inkling scores higher in 7 categories and Qwen1.5-72B in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Inkling leads 55.1 to 11.5.
  • The biggest single-benchmark swing is GPQA Diamond: 88.3% for Inkling and 28.8% for Qwen1.5-72B.

Side by side

Inkling and Qwen1.5-72B specifications
InklingQwen1.5-72B
ProviderThinking Machines LabAlibaba (Qwen)
Noometry Index44.130.8
Released2026-07-152024-02-04
WeightsOpenOpen
Context window66K—
Max output66K—
Input $ / M tokens$1.87—
Output $ / M tokens$4.68—
Results tracked4122

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Category by category

Coding Inkling leads

Inkling: 34.5 (#234), Qwen1.5-72B: 31.9 (#277)

Coding benchmarks
BenchmarkInklingQwen1.5-72B
LMArena Coding14641165
FrontierCode14%—
LMArena WebDev1413—
FrontierSWE4.1%—
SciCode47%—
WeirdML32.3%—
BigCodeBench Instruct—33.2%
BigCodeBench Complete—40.3%
ALE-Bench946—
HumanEval+—59.1%
MBPP+—61.6%

Agentic & Tool Use Not comparable

Inkling: 29.6 (#85), Qwen1.5-72B: —

Agentic & Tool Use benchmarks
BenchmarkInklingQwen1.5-72B
APEX-Agents33.8%—
τ²-bench Banking25%—

Reasoning Inkling leads

Inkling: 40.4 (#56), Qwen1.5-72B: 22.2 (#203)

Reasoning benchmarks
BenchmarkInklingQwen1.5-72B
LMArena Hard Prompts14511148
ARC-AGI-236.5%—
SimpleBench50%—
ARC-AGI-179.5%—
CritPt5.4%—
Chess Puzzles21%—
DTBench87.5%—
LMCA37.6%—
Epoch Capabilities Index148.54—

Math Qwen1.5-72B leads

Inkling: 31.3 (#225), Qwen1.5-72B: 33.2 (#205)

Math benchmarks
BenchmarkInklingQwen1.5-72B
LMArena Math14791164
FrontierMath (Tiers 1-3)33.3%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202588.9%—
ProofBench0%—

Knowledge Inkling leads

Inkling: 55.1 (#49), Qwen1.5-72B: 11.5 (#300)

Knowledge benchmarks
BenchmarkInklingQwen1.5-72B
GPQA Diamond88.3%28.8%
LMArena Expert14651136
SimpleQA Verified40.3%—

Multilingual Inkling leads

Inkling: 54.0 (#52), Qwen1.5-72B: 33.2 (#253)

Multilingual benchmarks
BenchmarkInklingQwen1.5-72B
LMArena Non-English14341135
LMArena Chinese14901186
LMArena French14581159
LMArena German14461084
LMArena Japanese14291061
LMArena Korean14041050
LMArena Russian14291104
LMArena Spanish14481110

Instruction Following Inkling leads

Inkling: 75.1 (#71), Qwen1.5-72B: 59.3 (#256)

Instruction Following benchmarks
BenchmarkInklingQwen1.5-72B
LMArena Instruction Following14261141

Long Context Inkling leads

Inkling: 43.8 (#86), Qwen1.5-72B: 35.1 (#243)

Long Context benchmarks
BenchmarkInklingQwen1.5-72B
LMArena Longer Query14341157

Writing & Preference Inkling leads

Inkling: 65.2 (#51), Qwen1.5-72B: 37.3 (#258)

Writing & Preference benchmarks
BenchmarkInklingQwen1.5-72B
LMArena Text14411166
LMArena Creative Writing13871137
LMArena Multi-Turn14361160
EQ-Bench Creative Writing1611—
EQ-Bench 41226—

Frequently asked questions

Is Inkling better than Qwen1.5-72B?

Inkling is the stronger model overall, scoring 44.1 to 30.8 on the Noometry Index.

Is Inkling or Qwen1.5-72B better for coding?

Inkling scores higher on coding benchmarks: 34.5 versus 31.9 in the Noometry coding category.

How many benchmarks do Inkling and Qwen1.5-72B share?

18 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen1.5-72B has 22.

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