Model comparison

Kimi K2 (Jul 2025) vs Yi-1.5-34B

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.6 on the Noometry Index.

Last verified . 17 shared benchmarks.

Kimi K2 (Jul 2025) Moonshot AI

41.2

Rank #140 Confirmed

Yi-1.5-34B 01.AI

30.6

Rank #289 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 8 categories and Yi-1.5-34B 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 37.4.

Side by side

Kimi K2 (Jul 2025) and Yi-1.5-34B specifications
Kimi K2 (Jul 2025)Yi-1.5-34B
ProviderMoonshot AI01.AI
Noometry Index41.230.6
Released2025-07-122024-05-13
WeightsOpenOpen
Context window262K—
Max output262K—
Input $ / M tokens$0.57—
Output $ / M tokens$2.30—
Results tracked4221

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Category by category

Coding Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.4 (#102), Yi-1.5-34B: 32.4 (#272)

Coding benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
LMArena Coding13991169
SWE-bench Verified (bash only)63.4%—
Aider Polyglot59.1%—
GSO4.9%—
WeirdML42.8%—
BigCodeBench Instruct—33.9%
BigCodeBench Complete—43.8%
ALE-Bench597.5—

Agentic & Tool Use Not comparable

Kimi K2 (Jul 2025): 32.4 (#64), Yi-1.5-34B: —

Agentic & Tool Use benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
Terminal-Bench35.7%—
Berkeley Function Calling Leaderboard59.1%—
METR Time Horizons59.2%—

Reasoning Too close to call

Kimi K2 (Jul 2025): 23.3 (#179), Yi-1.5-34B: 22.5 (#191)

Reasoning benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
LMArena Hard Prompts13841160
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), Yi-1.5-34B: 27.5 (#249)

Math benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
LMArena Math13971182
Omni-MATH65.4%—
MATH Level 5—25.5%
FrontierMath (Feb 2025 set)21.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 37.3 (#157), Yi-1.5-34B: 14.8 (#295)

Knowledge benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
LMArena Expert13651144
GPQA Diamond—32%
MMLU-Pro81.9%—
Confabulations20.4%—
Vectara Hallucination Rate17.9%—
GPQA (HELM)65.3%—

Multilingual Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 49.6 (#130), Yi-1.5-34B: 32.3 (#256)

Multilingual benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
LMArena Non-English13721121
LMArena Chinese14151213
LMArena French13791156
LMArena German13871111
LMArena Japanese13491021
LMArena Korean13251005
LMArena Russian13851091
LMArena Spanish13861121

Instruction Following Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 71.1 (#156), Yi-1.5-34B: 59.2 (#257)

Instruction Following benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
LMArena Instruction Following13481139
IFEval85%—

Long Context Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 41.2 (#145), Yi-1.5-34B: 34.6 (#248)

Long Context benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
LMArena Longer Query13531143
Fiction.LiveBench66.7%—
CL-bench17.6%—

Writing & Preference Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 62.3 (#78), Yi-1.5-34B: 37.4 (#257)

Writing & Preference benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-1.5-34B
LMArena Text13801173
LMArena Creative Writing13501135
LMArena Multi-Turn13711153
Short-Story Creative Writing85.6%—
EQ-Bench Creative Writing1666—
WildBench86.2%—

Frequently asked questions

Is Kimi K2 (Jul 2025) better than Yi-1.5-34B?

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 30.6 on the Noometry Index.

Is Kimi K2 (Jul 2025) or Yi-1.5-34B better for coding?

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 32.4 in the Noometry coding category.

How many benchmarks do Kimi K2 (Jul 2025) and Yi-1.5-34B share?

17 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Yi-1.5-34B has 21.

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