Model comparison

Kimi K3 vs Olmo 2 0325 32b Instruct

Kimi K3 is the stronger model overall, scoring 59.5 to 32.7 on the Noometry Index.

Last verified . 11 shared benchmarks.

Kimi K3 Moonshot AI

59.5

Rank #15 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Kimi K3 scores higher in 8 categories and Olmo 2 0325 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Kimi K3 leads 74.2 to 26.8.

Side by side

Kimi K3 and Olmo 2 0325 32b Instruct specifications
Kimi K3Olmo 2 0325 32b Instruct
ProviderMoonshot AIAllen Institute for AI (Ai2)
Noometry Index59.532.7
Released2026-07-16—
WeightsOpenOpen
Context window1.05M—
Max output1.05M—
Input $ / M tokens$3—
Output $ / M tokens$15—
Results tracked5316

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Category by category

Coding Kimi K3 leads

Kimi K3: 61.0 (#10), Olmo 2 0325 32b Instruct: 35.2 (#227)

Coding benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
LMArena Coding15081210
DeepSWE68.5%—
FrontierCode44.2%—
LMArena WebDev1654—
FrontierSWE25.9%—
SciCode59.5%—
WeirdML82.6%—
ALE-Bench1,524—

Agentic & Tool Use Not comparable

Kimi K3: 41.8 (#20), Olmo 2 0325 32b Instruct: —

Agentic & Tool Use benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
APEX-Agents50.6%—
τ²-bench Banking37.1%—
PostTrainBench32%—
GBAEval48.3%—
GDP.pdf19%—
Vending-Bench 25,165—

Reasoning Kimi K3 leads

Kimi K3: 63.0 (#17), Olmo 2 0325 32b Instruct: 23.6 (#175)

Reasoning benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
LMArena Hard Prompts14961208
ARC-AGI-260.4%—
SimpleBench60.7%—
NYT Connections (extended)93.6%—
ARC-AGI-194.5%—
CritPt23.4%—
Chess Puzzles39%—
Mystery Game Puzzles26%—
DTBench91.2%—
LMCA52.7%—
Surface Evolver Bench95%—
Epoch Capabilities Index157.45—
ForecastBench61.1—

Math Kimi K3 leads

Kimi K3: 74.2 (#16), Olmo 2 0325 32b Instruct: 26.8 (#255)

Math benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
LMArena Math14911208
FrontierMath (Tiers 1-3)72.2%—
FrontierMath Tier 439%—
MathArena Final-Answer Competitions87.8%—
OTIS Mock AIME 2024-202597.2%—
ProofBench87%—
Omni-MATH—16.1%

Knowledge Kimi K3 leads

Kimi K3: 63.2 (#21), Olmo 2 0325 32b Instruct: 19.5 (#279)

Knowledge benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
GPQA Diamond93.1%—
SimpleQA Verified50.6%—
MMLU-Pro—41.4%
GPQA (HELM)—28.7%
LMArena Expert1521—

Multimodal Not comparable

Kimi K3: 37.8 (#70), Olmo 2 0325 32b Instruct: —

Multimodal benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
Blueprint-Bench 229.5%—
Furniture Assembly34.2%—

Multilingual Kimi K3 leads

Kimi K3: 56.3 (#21), Olmo 2 0325 32b Instruct: 34.8 (#248)

Multilingual benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
LMArena Non-English14661160
LMArena Chinese15291192
LMArena Russian14821187
LMArena French1491—
LMArena German1488—
LMArena Japanese1487—
LMArena Korean1458—
LMArena Spanish1472—

Instruction Following Kimi K3 leads

Kimi K3: 77.7 (#14), Olmo 2 0325 32b Instruct: 61.5 (#244)

Instruction Following benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
LMArena Instruction Following14831186
IFEval—78%

Long Context Kimi K3 leads

Kimi K3: 45.8 (#29), Olmo 2 0325 32b Instruct: 36.2 (#234)

Long Context benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
LMArena Longer Query14941194

Writing & Preference Kimi K3 leads

Kimi K3: 76.6 (#4), Olmo 2 0325 32b Instruct: 42.1 (#236)

Writing & Preference benchmarks
BenchmarkKimi K3Olmo 2 0325 32b Instruct
LMArena Text14761218
LMArena Creative Writing14541199
LMArena Multi-Turn14881221
EQ-Bench Creative Writing2082—
WildBench—73.4%
EQ-Bench 41339—

Frequently asked questions

Is Kimi K3 better than Olmo 2 0325 32b Instruct?

Kimi K3 is the stronger model overall, scoring 59.5 to 32.7 on the Noometry Index.

Is Kimi K3 or Olmo 2 0325 32b Instruct better for coding?

Kimi K3 scores higher on coding benchmarks: 61.0 versus 35.2 in the Noometry coding category.

How many benchmarks do Kimi K3 and Olmo 2 0325 32b Instruct share?

11 benchmarks have published results for both models. Kimi K3 has 53 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.

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