Noometry

Model comparison

Kimi K2 (Jul 2025) vs Qwen1.5-110B

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 34.2 on the Noometry Index.

Last verified . 18 shared benchmarks.

Kimi K2 (Jul 2025) Moonshot AI

41.2

Rank #140 Confirmed

Qwen1.5-110B Alibaba (Qwen)

34.2

Rank #234 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Kimi K2 (Jul 2025) 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 Kimi K2 (Jul 2025) leads 62.3 to 38.0.

Side by side

Kimi K2 (Jul 2025)Qwen1.5-110B
ProviderMoonshot AIAlibaba (Qwen)
Noometry Index41.234.2
Released2025-07-122024-04-25
WeightsOpenOpen
Context window262K—
Max output262K—
Input $ / M tokens$0.57—
Output $ / M tokens$2.30—
Results tracked4220

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Category by category

Coding Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.4 (#102), Qwen1.5-110B: 33.0 (#264)

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
LMArena Coding13991184
SWE-bench Verified (bash only)63.4%—
Aider Polyglot59.1%—
GSO4.9%—
WeirdML42.8%—
BigCodeBench Instruct—35%
BigCodeBench Complete—44.4%
ALE-Bench597.5—

Agentic & Tool Use Not comparable

Kimi K2 (Jul 2025): 32.4 (#64), Qwen1.5-110B: —

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
Terminal-Bench35.7%—
Berkeley Function Calling Leaderboard59.1%—
METR Time Horizons59.2%—

Reasoning Too close to call

Kimi K2 (Jul 2025): 23.3 (#179), Qwen1.5-110B: 22.7 (#189)

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
LMArena Hard Prompts13841168
ForecastBench60.257.7
SimpleBench26.3%—
Kagi LLM Benchmark64.4%—
Epoch Capabilities Index146.01—

Math Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.7 (#83), Qwen1.5-110B: 33.7 (#201)

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
LMArena Math13971185
Omni-MATH65.4%—
FrontierMath (Feb 2025 set)21.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 37.3 (#157), Qwen1.5-110B: 31.2 (#219)

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
LMArena Expert13651144
MMLU-Pro81.9%—
Confabulations20.4%—
Vectara Hallucination Rate17.9%—
GPQA (HELM)65.3%—

Multilingual Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 49.6 (#130), Qwen1.5-110B: 33.6 (#250)

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
LMArena Non-English13721142
LMArena Chinese14151206
LMArena French13791151
LMArena German13871123
LMArena Japanese13491074
LMArena Korean13251044
LMArena Russian13851118
LMArena Spanish13861142

Instruction Following Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 71.1 (#156), Qwen1.5-110B: 60.3 (#252)

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
LMArena Instruction Following13481158
IFEval85%—

Long Context Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 41.2 (#145), Qwen1.5-110B: 35.1 (#242)

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
LMArena Longer Query13531157
Fiction.LiveBench66.7%—
CL-bench17.6%—

Writing & Preference Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 62.3 (#78), Qwen1.5-110B: 38.0 (#255)

BenchmarkKimi K2 (Jul 2025)Qwen1.5-110B
LMArena Text13801175
LMArena Creative Writing13501148
LMArena Multi-Turn13711160
Short-Story Creative Writing85.6%—
EQ-Bench Creative Writing1666—
WildBench86.2%—

Frequently asked questions

Is Kimi K2 (Jul 2025) better than Qwen1.5-110B?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 34.2 on the Noometry Index.

Is Kimi K2 (Jul 2025) or Qwen1.5-110B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 33.0 in the Noometry coding category.

How many benchmarks do Kimi K2 (Jul 2025) and Qwen1.5-110B share?

18 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Qwen1.5-110B has 20.

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