Model comparison

Kimi K2 (Jul 2025) vs Qwen2-72B

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.0 on the Noometry Index.

Last verified . 20 shared benchmarks.

Kimi K2 (Jul 2025) Moonshot AI

41.2

Rank #140 Confirmed

Qwen2-72B Alibaba (Qwen)

30.0

Rank #300 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 9 categories and Qwen2-72B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 40.8.
  • The biggest single-benchmark swing is WeirdML: 42.8% for Kimi K2 (Jul 2025) and 11.3% for Qwen2-72B.

Side by side

Kimi K2 (Jul 2025) and Qwen2-72B specifications
Kimi K2 (Jul 2025)Qwen2-72B
ProviderMoonshot AIAlibaba (Qwen)
Noometry Index41.230.0
Released2025-07-122024-06-07
WeightsOpenOpen
Context window262K—
Max output262K—
Input $ / M tokens$0.57—
Output $ / M tokens$2.30—
Results tracked4226

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Category by category

Coding Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.4 (#102), Qwen2-72B: 29.1 (#310)

Coding benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
WeirdML42.8%11.3%
LMArena Coding13991196
SWE-bench Verified (bash only)63.4%—
Aider Polyglot59.1%—
GSO4.9%—
BigCodeBench Instruct—38.5%
BigCodeBench Complete—54%
ALE-Bench597.5—

Agentic & Tool Use Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 32.4 (#64), Qwen2-72B: 17.0 (#146)

Agentic & Tool Use benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
METR Time Horizons59.2%29.9%
Terminal-Bench35.7%—
Berkeley Function Calling Leaderboard59.1%—
TheAgentCompany—1.1%

Reasoning Too close to call

Kimi K2 (Jul 2025): 23.3 (#179), Qwen2-72B: 23.2 (#181)

Reasoning benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
LMArena Hard Prompts13841191
Epoch Capabilities Index146.01125.28
SimpleBench26.3%—
Kagi LLM Benchmark64.4%—
ForecastBench60.2—

Math Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.7 (#83), Qwen2-72B: 30.2 (#236)

Math benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
LMArena Math13971235
Omni-MATH65.4%—
MATH Level 5—39.1%
FrontierMath (Feb 2025 set)21.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 37.3 (#157), Qwen2-72B: 21.2 (#275)

Knowledge benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
LMArena Expert13651171
GPQA Diamond—40.8%
MMLU-Pro81.9%—
Confabulations20.4%—
Vectara Hallucination Rate17.9%—
GPQA (HELM)65.3%—
MMLU—82.4%

Multilingual Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 49.6 (#130), Qwen2-72B: 35.9 (#244)

Multilingual benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
LMArena Non-English13721176
LMArena Chinese14151240
LMArena French13791170
LMArena German13871151
LMArena Japanese13491111
LMArena Korean13251083
LMArena Russian13851169
LMArena Spanish13861169

Instruction Following Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 71.1 (#156), Qwen2-72B: 61.7 (#241)

Instruction Following benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
LMArena Instruction Following13481181
IFEval85%—

Long Context Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 41.2 (#145), Qwen2-72B: 36.1 (#235)

Long Context benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
LMArena Longer Query13531192
Fiction.LiveBench66.7%—
CL-bench17.6%—

Writing & Preference Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 62.3 (#78), Qwen2-72B: 40.8 (#241)

Writing & Preference benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen2-72B
LMArena Text13801203
LMArena Creative Writing13501181
LMArena Multi-Turn13711196
Short-Story Creative Writing85.6%—
EQ-Bench Creative Writing1666—
WildBench86.2%—

Frequently asked questions

Is Kimi K2 (Jul 2025) better than Qwen2-72B?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.0 on the Noometry Index.

Is Kimi K2 (Jul 2025) or Qwen2-72B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 29.1 in the Noometry coding category.

How many benchmarks do Kimi K2 (Jul 2025) and Qwen2-72B share?

20 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Qwen2-72B has 26.

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