Model comparison

Inkling vs Qwen1.5-110B

Inkling is the stronger model overall, scoring 44.1 to 33.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

Inkling Thinking Machines Lab

44.1

Rank #75 Confirmed

Qwen1.5-110B Alibaba (Qwen)

33.6

Rank #231 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Inkling scores higher in 8 categories and Qwen1.5-110B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Inkling leads 65.5 to 38.1.

Side by side

Inkling and Qwen1.5-110B specifications
InklingQwen1.5-110B
ProviderThinking Machines LabAlibaba (Qwen)
Noometry Index44.133.6
Released2026-07-152024-04-25
WeightsOpenOpen
Context window66K—
Max output66K—
Input $ / M tokens$1.87—
Output $ / M tokens$4.68—
Results tracked4120

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Category by category

Coding Inkling leads

Inkling: 34.1 (#229), Qwen1.5-110B: 32.4 (#260)

Coding benchmarks
BenchmarkInklingQwen1.5-110B
LMArena Coding14631184
FrontierCode14%—
LMArena WebDev1412—
FrontierSWE4.1%—
SciCode47%—
WeirdML32.3%—
BigCodeBench Instruct—35%
BigCodeBench Complete—44.4%
ALE-Bench946—

Agentic & Tool Use Not comparable

Inkling: 29.5 (#76), Qwen1.5-110B: —

Agentic & Tool Use benchmarks
BenchmarkInklingQwen1.5-110B
APEX-Agents33.8%—
τ²-bench Banking25%—

Reasoning Inkling leads

Inkling: 40.6 (#48), Qwen1.5-110B: 21.7 (#192)

Reasoning benchmarks
BenchmarkInklingQwen1.5-110B
LMArena Hard Prompts14521168
ARC-AGI-236.5%—
SimpleBench50%—
ARC-AGI-179.5%—
CritPt5.4%—
Chess Puzzles21%—
DTBench87.5%—
LMCA37.6%—
Epoch Capabilities Index148.6—
ForecastBench—57.7

Math Too close to call

Inkling: 31.2 (#198), Qwen1.5-110B: 31.1 (#199)

Math benchmarks
BenchmarkInklingQwen1.5-110B
LMArena Math14821185
FrontierMath (Tiers 1-3)33.3%—
FrontierMath Tier 44.9%—
OTIS Mock AIME 2024-202588.9%—
ProofBench0%—

Knowledge Inkling leads

Inkling: 55.2 (#44), Qwen1.5-110B: 30.7 (#217)

Knowledge benchmarks
BenchmarkInklingQwen1.5-110B
LMArena Expert14681144
GPQA Diamond88.3%—
SimpleQA Verified40.3%—

Multilingual Inkling leads

Inkling: 54.2 (#49), Qwen1.5-110B: 33.8 (#245)

Multilingual benchmarks
BenchmarkInklingQwen1.5-110B
LMArena Non-English14341142
LMArena Chinese14951206
LMArena French14531150
LMArena German14561123
LMArena Japanese14281074
LMArena Korean14011044
LMArena Russian14301118
LMArena Spanish14421141

Instruction Following Inkling leads

Inkling: 75.3 (#65), Qwen1.5-110B: 60.6 (#247)

Instruction Following benchmarks
BenchmarkInklingQwen1.5-110B
LMArena Instruction Following14271158

Long Context Inkling leads

Inkling: 43.9 (#79), Qwen1.5-110B: 35.0 (#237)

Long Context benchmarks
BenchmarkInklingQwen1.5-110B
LMArena Longer Query14361157

Writing & Preference Inkling leads

Inkling: 65.5 (#48), Qwen1.5-110B: 38.1 (#250)

Writing & Preference benchmarks
BenchmarkInklingQwen1.5-110B
LMArena Text14431175
LMArena Creative Writing13901148
LMArena Multi-Turn14361160
EQ-Bench Creative Writing1611—
EQ-Bench 41226—

Frequently asked questions

Is Inkling better than Qwen1.5-110B?

Inkling is the stronger model overall, scoring 44.1 to 33.6 on the Noometry Index.

Is Inkling or Qwen1.5-110B better for coding?

Inkling scores higher on coding benchmarks: 34.1 versus 32.4 in the Noometry coding category.

How many benchmarks do Inkling and Qwen1.5-110B share?

17 benchmarks have published results for both models. Inkling has 41 scored results on Noometry and Qwen1.5-110B has 20.

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