Model comparison

Kimi K2 (Jul 2025) vs Qwen1.5-7B

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 31.4 on the Noometry Index.

Last verified . 12 shared benchmarks.

Kimi K2 (Jul 2025) Moonshot AI

41.2

Rank #140 Confirmed

Qwen1.5-7B Alibaba (Qwen)

31.4

Rank #273 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 8 categories and Qwen1.5-7B 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 29.6.

Side by side

Kimi K2 (Jul 2025) and Qwen1.5-7B specifications
Kimi K2 (Jul 2025)Qwen1.5-7B
ProviderMoonshot AIAlibaba (Qwen)
Noometry Index41.231.4
Released2025-07-122024-02-04
WeightsOpenOpen
Context window262K—
Max output262K—
Input $ / M tokens$0.57—
Output $ / M tokens$2.30—
Results tracked4213

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Category by category

Coding Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.4 (#102), Qwen1.5-7B: 32.2 (#276)

Coding benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
LMArena Coding13991107
SWE-bench Verified (bash only)63.4%—
Aider Polyglot59.1%—
GSO4.9%—
WeirdML42.8%—
ALE-Bench597.5—

Agentic & Tool Use Not comparable

Kimi K2 (Jul 2025): 32.4 (#64), Qwen1.5-7B: —

Agentic & Tool Use benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
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), Qwen1.5-7B: 20.4 (#240)

Reasoning benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
LMArena Hard Prompts13841065
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), Qwen1.5-7B: 31.4 (#224)

Math benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
LMArena Math13971080
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), Qwen1.5-7B: 28.7 (#243)

Knowledge benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
LMArena Expert13651055
MMLU-Pro81.9%—
Confabulations20.4%—
Vectara Hallucination Rate17.9%—
GPQA (HELM)65.3%—
MMLU—62.6%

Multilingual Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 49.6 (#130), Qwen1.5-7B: 28.5 (#271)

Multilingual benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
LMArena Non-English13721058
LMArena Chinese14151141
LMArena Russian13851006
LMArena French1379—
LMArena German1387—
LMArena Japanese1349—
LMArena Korean1325—
LMArena Spanish1386—

Instruction Following Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 71.1 (#156), Qwen1.5-7B: 54.1 (#281)

Instruction Following benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
LMArena Instruction Following13481058
IFEval85%—

Long Context Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 41.2 (#145), Qwen1.5-7B: 33.1 (#266)

Long Context benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
LMArena Longer Query13531090
Fiction.LiveBench66.7%—
CL-bench17.6%—

Writing & Preference Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 62.3 (#78), Qwen1.5-7B: 29.6 (#293)

Writing & Preference benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen1.5-7B
LMArena Text13801083
LMArena Creative Writing13501035
LMArena Multi-Turn13711062
Short-Story Creative Writing85.6%—
EQ-Bench Creative Writing1666—
WildBench86.2%—

Frequently asked questions

Is Kimi K2 (Jul 2025) better than Qwen1.5-7B?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 31.4 on the Noometry Index.

Is Kimi K2 (Jul 2025) or Qwen1.5-7B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 32.2 in the Noometry coding category.

How many benchmarks do Kimi K2 (Jul 2025) and Qwen1.5-7B share?

12 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Qwen1.5-7B has 13.

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