Model comparison

Kimi K2 (Jul 2025) vs Qwen-14B

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

Last verified . 11 shared benchmarks.

Kimi K2 (Jul 2025) Moonshot AI

41.2

Rank #140 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 7 categories and Qwen-14B 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 27.6.

Side by side

Kimi K2 (Jul 2025) and Qwen-14B specifications
Kimi K2 (Jul 2025)Qwen-14B
ProviderMoonshot AIAlibaba (Qwen)
Noometry Index41.231.4
Released2025-07-122023-09-24
WeightsOpenOpen
Context window262K—
Max output262K—
Input $ / M tokens$0.57—
Output $ / M tokens$2.30—
Results tracked4218

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Category by category

Coding Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.4 (#102), Qwen-14B: 31.2 (#288)

Coding benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
LMArena Coding13991071
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), Qwen-14B: —

Agentic & Tool Use benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
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), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
LMArena Hard Prompts13841027
Epoch Capabilities Index146.01113.03
SimpleBench26.3%—
Kagi LLM Benchmark64.4%—
BIG-Bench Hard—55%
ForecastBench60.2—
LAMBADA—71.1%
PIQA—79.9%

Math Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.7 (#83), Qwen-14B: 31.2 (#227)

Math benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
LMArena Math13971068
Omni-MATH65.4%—
FrontierMath (Feb 2025 set)21.4%—
FrontierMath Tier 4 (v1)0%—
GSM8K—61.3%

Knowledge Not comparable

Kimi K2 (Jul 2025): 37.3 (#157), Qwen-14B: —

Knowledge benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
MMLU-Pro81.9%—
Confabulations20.4%—
Vectara Hallucination Rate17.9%—
GPQA (HELM)65.3%—
LMArena Expert1365—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multilingual Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 49.6 (#130), Qwen-14B: 27.5 (#275)

Multilingual benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
LMArena Non-English13721041
LMArena Chinese14151077
LMArena French1379—
LMArena German1387—
LMArena Japanese1349—
LMArena Korean1325—
LMArena Russian1385—
LMArena Spanish1386—

Instruction Following Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 71.1 (#156), Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
LMArena Instruction Following13481031
IFEval85%—

Long Context Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 41.2 (#145), Qwen-14B: 31.3 (#280)

Long Context benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
LMArena Longer Query13531028
Fiction.LiveBench66.7%—
CL-bench17.6%—

Writing & Preference Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 62.3 (#78), Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
BenchmarkKimi K2 (Jul 2025)Qwen-14B
LMArena Text13801051
LMArena Creative Writing13501028
LMArena Multi-Turn13711022
Short-Story Creative Writing85.6%—
EQ-Bench Creative Writing1666—
WildBench86.2%—

Frequently asked questions

Is Kimi K2 (Jul 2025) better than Qwen-14B?

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 Qwen-14B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 31.2 in the Noometry coding category.

How many benchmarks do Kimi K2 (Jul 2025) and Qwen-14B share?

11 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Qwen-14B has 18.

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