Model comparison

Kimi K2.7 Code vs Qwen-14B

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 31.4 on the Noometry Index.

Last verified . 1 shared benchmarks.

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Qwen-14B Alibaba (Qwen)

31.4

Rank #275 Confirmed

Summary

  • They share 1 benchmark with published results for both. Kimi K2.7 Code scores higher in 3 categories and Qwen-14B in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 31.2.

Side by side

Kimi K2.7 Code and Qwen-14B specifications
Kimi K2.7 CodeQwen-14B
ProviderMoonshot AIAlibaba (Qwen)
Noometry Index43.331.4
Released2026-06-122023-09-24
WeightsOpenOpen
Context window262K—
Max output262K—
Input $ / M tokens$0.95—
Output $ / M tokens$4—
Results tracked1918

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Category by category

Coding Kimi K2.7 Code leads

Kimi K2.7 Code: 42.9 (#95), Qwen-14B: 31.2 (#288)

Coding benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
DeepSWE30.5%—
FrontierCode30.1%—
LMArena WebDev1473—
SciCode47.5%—
WeirdML54.1%—
LMArena Coding—1071
ALE-Bench886.23—

Agentic & Tool Use Not comparable

Kimi K2.7 Code: 24.0 (#122), Qwen-14B: —

Agentic & Tool Use benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
APEX-Agents37.6%—
GBAEval0.9%—
Vending-Bench 25,083—

Reasoning Kimi K2.7 Code leads

Kimi K2.7 Code: 39.0 (#61), Qwen-14B: 19.6 (#257)

Reasoning benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
Epoch Capabilities Index149.97113.03
SimpleBench57.9%—
CritPt10%—
Chess Puzzles21%—
LMArena Hard Prompts—1027
Surface Evolver Bench48.8%—
BIG-Bench Hard—55%
LAMBADA—71.1%
PIQA—79.9%

Math Kimi K2.7 Code leads

Kimi K2.7 Code: 52.9 (#48), Qwen-14B: 31.2 (#227)

Math benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
FrontierMath (Tiers 1-3)54%—
FrontierMath Tier 412.2%—
OTIS Mock AIME 2024-202595.6%—
LMArena Math—1068
GSM8K—61.3%

Knowledge Not comparable

Kimi K2.7 Code: 53.5 (#57), Qwen-14B: —

Knowledge benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
GPQA Diamond87.9%—
SimpleQA Verified36.5%—
ARC (AI2) Challenge—84.4%
BoolQ—86.2%
MMLU—66.3%

Multilingual Not comparable

Kimi K2.7 Code: —, Qwen-14B: 27.5 (#275)

Multilingual benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
LMArena Non-English—1041
LMArena Chinese—1077

Instruction Following Not comparable

Kimi K2.7 Code: —, Qwen-14B: 52.4 (#289)

Instruction Following benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
LMArena Instruction Following—1031

Long Context Not comparable

Kimi K2.7 Code: —, Qwen-14B: 31.3 (#280)

Long Context benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
LMArena Longer Query—1028

Writing & Preference Not comparable

Kimi K2.7 Code: —, Qwen-14B: 27.6 (#299)

Writing & Preference benchmarks
BenchmarkKimi K2.7 CodeQwen-14B
LMArena Text—1051
LMArena Creative Writing—1028
LMArena Multi-Turn—1022

Frequently asked questions

Is Kimi K2.7 Code better than Qwen-14B?

Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 31.4 on the Noometry Index.

Is Kimi K2.7 Code or Qwen-14B better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 31.2 in the Noometry coding category.

How many benchmarks do Kimi K2.7 Code and Qwen-14B share?

1 benchmark has published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen-14B has 18.

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