Model comparison

Kimi K2.5 vs Qwen2.5 Plus 1127

Kimi K2.5 is the stronger model overall, scoring 47.8 to 38.1 on the Noometry Index.

Last verified . 14 shared benchmarks.

Kimi K2.5 Moonshot AI

47.8

Rank #50 Confirmed

Qwen2.5 Plus 1127 Alibaba (Qwen)

38.1

Rank #179 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Kimi K2.5 scores higher in 8 categories and Qwen2.5 Plus 1127 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 34.9.
  • Kimi K2.5 has downloadable open weights; the other is API-only.

Side by side

Kimi K2.5 and Qwen2.5 Plus 1127 specifications
Kimi K2.5Qwen2.5 Plus 1127
ProviderMoonshot AIAlibaba (Qwen)
Noometry Index47.838.1
Released2026-01-27—
WeightsOpenProprietary
Context window262K—
Max output262K—
Input $ / M tokens$0.45—
Output $ / M tokens$2.25—
Results tracked5114

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Category by category

Coding Kimi K2.5 leads

Kimi K2.5: 48.7 (#48), Qwen2.5 Plus 1127: 37.9 (#171)

Coding benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Coding14741314
SWE-bench Verified73.8%—
SWE-bench Verified (bash only)70.8%—
LMArena WebDev1436—
SWE-bench Multilingual67.3%—
SciCode49%—
WeirdML45.6%—
ALE-Bench821.65—

Agentic & Tool Use Not comparable

Kimi K2.5: 34.0 (#44), Qwen2.5 Plus 1127: —

Agentic & Tool Use benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
Terminal-Bench43.2%—
OSWorld63.3%—
Vending-Bench 21,198—

Reasoning Kimi K2.5 leads

Kimi K2.5: 31.2 (#74), Qwen2.5 Plus 1127: 24.8 (#139)

Reasoning benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Hard Prompts14541299
ARC-AGI-211.8%—
SimpleBench46.8%—
Kagi LLM Benchmark78.5%—
NYT Connections (extended)69.9%—
ARC-AGI-165.3%—
CritPt3.1%—
Chess Puzzles12%—
EnigmaEval3.4%—
Thematic Generalization69.4%—
Epoch Capabilities Index148.05—

Math Kimi K2.5 leads

Kimi K2.5: 50.3 (#46), Qwen2.5 Plus 1127: 33.5 (#175)

Math benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Math14701298
MathArena Final-Answer Competitions62.3%—
OTIS Mock AIME 2024-202592.2%—
FrontierMath (Feb 2025 set)27.9%—
FrontierMath Tier 4 (v1)4.2%—

Knowledge Kimi K2.5 leads

Kimi K2.5: 53.6 (#52), Qwen2.5 Plus 1127: 34.9 (#179)

Knowledge benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Expert14661289
GPQA Diamond87.6%—
Humanity's Last Exam24.4%—
SimpleQA Verified34.3%—
Vectara Hallucination Rate14.2%—

Multimodal Not comparable

Kimi K2.5: 40.4 (#37), Qwen2.5 Plus 1127: —

Multimodal benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Vision1269—
LMArena Document1430—

Multilingual Kimi K2.5 leads

Kimi K2.5: 54.1 (#50), Qwen2.5 Plus 1127: 42.1 (#196)

Multilingual benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Non-English14331265
LMArena Chinese14951314
LMArena German14411231
LMArena Japanese14221207
LMArena Russian14361271
LMArena French1454—
LMArena Korean1412—
LMArena Spanish1450—

Instruction Following Kimi K2.5 leads

Kimi K2.5: 75.5 (#60), Qwen2.5 Plus 1127: 67.4 (#194)

Instruction Following benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Instruction Following14311275

Long Context Kimi K2.5 leads

Kimi K2.5: 52.1 (#7), Qwen2.5 Plus 1127: 39.2 (#180)

Long Context benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Longer Query14451292
Fiction.LiveBench86.1%—
CL-bench19.3%—
CL-bench Life13.2%—

Writing & Preference Kimi K2.5 leads

Kimi K2.5: 65.3 (#51), Qwen2.5 Plus 1127: 49.5 (#186)

Writing & Preference benchmarks
BenchmarkKimi K2.5Qwen2.5 Plus 1127
LMArena Text14451299
LMArena Creative Writing14231262
LMArena Multi-Turn14441299
EQ-Bench Creative Writing1579—

Frequently asked questions

Is Kimi K2.5 better than Qwen2.5 Plus 1127?

Kimi K2.5 is the stronger model overall, scoring 47.8 to 38.1 on the Noometry Index.

Is Kimi K2.5 or Qwen2.5 Plus 1127 better for coding?

Kimi K2.5 scores higher on coding benchmarks: 48.7 versus 37.9 in the Noometry coding category.

How many benchmarks do Kimi K2.5 and Qwen2.5 Plus 1127 share?

14 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Qwen2.5 Plus 1127 has 14.

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