Model comparison

Kimi K2 (Jul 2025) vs Yi-34B

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 27.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

Kimi K2 (Jul 2025) Moonshot AI

41.2

Rank #140 Confirmed

Yi-34B 01.AI

27.8

Rank #329 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Kimi K2 (Jul 2025) leads 37.3 to 7.5.

Side by side

Kimi K2 (Jul 2025) and Yi-34B specifications
Kimi K2 (Jul 2025)Yi-34B
ProviderMoonshot AI01.AI
Noometry Index41.227.8
Released2025-07-122023-11-02
WeightsOpenOpen
Context window262K—
Max output262K—
Input $ / M tokens$0.57—
Output $ / M tokens$2.30—
Results tracked4223

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Category by category

Coding Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.4 (#102), Yi-34B: 32.3 (#274)

Coding benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
LMArena Coding13991112
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), Yi-34B: —

Agentic & Tool Use benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
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), Yi-34B: 21.2 (#226)

Reasoning benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
LMArena Hard Prompts13841104
Epoch Capabilities Index146.01117.39
SimpleBench26.3%—
Kagi LLM Benchmark64.4%—
BIG-Bench Hard—71.7%
ForecastBench60.2—

Math Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 42.7 (#83), Yi-34B: 21.6 (#282)

Math benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
LMArena Math13971114
Omni-MATH65.4%—
MATH Level 5—5.1%
FrontierMath (Feb 2025 set)21.4%—
FrontierMath Tier 4 (v1)0%—
GSM8K—76%

Knowledge Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 37.3 (#157), Yi-34B: 7.5 (#309)

Knowledge benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
LMArena Expert13651061
GPQA Diamond—14.7%
MMLU-Pro81.9%—
Confabulations20.4%—
Vectara Hallucination Rate17.9%—
GPQA (HELM)65.3%—
MMLU—76.3%

Multilingual Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 49.6 (#130), Yi-34B: 29.7 (#264)

Multilingual benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
LMArena Non-English13721079
LMArena Chinese14151176
LMArena French13791081
LMArena German13871042
LMArena Japanese1349993
LMArena Korean1325959
LMArena Russian13851050
LMArena Spanish13861070

Instruction Following Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 71.1 (#156), Yi-34B: 56.2 (#274)

Instruction Following benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
LMArena Instruction Following13481091
IFEval85%—

Long Context Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 41.2 (#145), Yi-34B: 33.2 (#264)

Long Context benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
LMArena Longer Query13531094
Fiction.LiveBench66.7%—
CL-bench17.6%—

Writing & Preference Kimi K2 (Jul 2025) leads

Kimi K2 (Jul 2025): 62.3 (#78), Yi-34B: 34.1 (#273)

Writing & Preference benchmarks
BenchmarkKimi K2 (Jul 2025)Yi-34B
LMArena Text13801129
LMArena Creative Writing13501108
LMArena Multi-Turn13711113
Short-Story Creative Writing85.6%—
EQ-Bench Creative Writing1666—
WildBench86.2%—

Frequently asked questions

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

Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 27.8 on the Noometry Index.

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

Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 32.3 in the Noometry coding category.

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

18 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Yi-34B has 23.

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