Model comparison

Kimi K2 (Jul 2025) vs Qwen1.5-72B

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.8 on the Noometry Index.

Last verified . 17 shared benchmarks.

Kimi K2 (Jul 2025) Moonshot AI

41.2

Rank #140 Confirmed

Qwen1.5-72B Alibaba (Qwen)

30.8

Rank #285 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 8 categories and Qwen1.5-72B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Kimi K2 (Jul 2025) leads 37.3 to 11.5.

Side by side

Kimi K2 (Jul 2025) and Qwen1.5-72B specifications
Kimi K2 (Jul 2025)Qwen1.5-72B
ProviderMoonshot AIAlibaba (Qwen)
Noometry Index41.230.8
Released2025-07-122024-02-04
WeightsOpenOpen
Context window262K—
Max output262K—
Input $ / M tokens$0.57—
Output $ / M tokens$2.30—
Results tracked4222

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Category by category

Coding Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.4 (#102), Qwen1.5-72B: 31.9 (#277)

Coding benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
LMArena Coding13991165
SWE-bench Verified (bash only)63.4%—
Aider Polyglot59.1%—
GSO4.9%—
WeirdML42.8%—
BigCodeBench Instruct—33.2%
BigCodeBench Complete—40.3%
ALE-Bench597.5—
HumanEval+—59.1%
MBPP+—61.6%

Agentic & Tool Use Not comparable

Kimi K2 (Jul 2025): 32.4 (#64), Qwen1.5-72B: —

Agentic & Tool Use benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
Terminal-Bench35.7%—
Berkeley Function Calling Leaderboard59.1%—
METR Time Horizons59.2%—

Reasoning Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 23.3 (#179), Qwen1.5-72B: 22.2 (#203)

Reasoning benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
LMArena Hard Prompts13841148
SimpleBench26.3%—
Kagi LLM Benchmark64.4%—
Epoch Capabilities Index146.01—
ForecastBench60.2—

Math Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.7 (#83), Qwen1.5-72B: 33.2 (#205)

Math benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
LMArena Math13971164
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), Qwen1.5-72B: 11.5 (#300)

Knowledge benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
LMArena Expert13651136
GPQA Diamond—28.8%
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), Qwen1.5-72B: 33.2 (#253)

Multilingual benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
LMArena Non-English13721135
LMArena Chinese14151186
LMArena French13791159
LMArena German13871084
LMArena Japanese13491061
LMArena Korean13251050
LMArena Russian13851104
LMArena Spanish13861110

Instruction Following Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 71.1 (#156), Qwen1.5-72B: 59.3 (#256)

Instruction Following benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
LMArena Instruction Following13481141
IFEval85%—

Long Context Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 41.2 (#145), Qwen1.5-72B: 35.1 (#243)

Long Context benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
LMArena Longer Query13531157
Fiction.LiveBench66.7%—
CL-bench17.6%—

Writing & Preference Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 62.3 (#78), Qwen1.5-72B: 37.3 (#258)

Writing & Preference benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-72B
LMArena Text13801166
LMArena Creative Writing13501137
LMArena Multi-Turn13711160
Short-Story Creative Writing85.6%—
EQ-Bench Creative Writing1666—
WildBench86.2%—

Frequently asked questions

Is Kimi K2 (Jul 2025) better than Qwen1.5-72B?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.8 on the Noometry Index.

Is Kimi K2 (Jul 2025) or Qwen1.5-72B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 31.9 in the Noometry coding category.

How many benchmarks do Kimi K2 (Jul 2025) and Qwen1.5-72B share?

17 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Qwen1.5-72B has 22.

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