Model comparison

Granite 3.0 8b Instruct vs Kimi K3

Kimi K3 is the stronger model overall, scoring 59.5 to 31.6 on the Noometry Index.

Last verified . 12 shared benchmarks.

Granite 3.0 8b Instruct IBM

31.6

Rank #270 Confirmed

Kimi K3 Moonshot AI

59.5

Rank #15 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Granite 3.0 8b Instruct scores higher in 0 categories and Kimi K3 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Kimi K3 leads 76.6 to 31.1.

Side by side

Granite 3.0 8b Instruct and Kimi K3 specifications
Granite 3.0 8b InstructKimi K3
ProviderIBMMoonshot AI
Noometry Index31.659.5
Released—2026-07-16
WeightsOpenOpen
Context window—1.05M
Max output—1.05M
Input $ / M tokens—$3
Output $ / M tokens—$15
Results tracked1453

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Category by category

Coding Kimi K3 leads

Granite 3.0 8b Instruct: 29.7 (#301), Kimi K3: 61.0 (#10)

Coding benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
LMArena Coding11121508
DeepSWE—68.5%
FrontierCode—44.2%
LMArena WebDev—1654
FrontierSWE—25.9%
SciCode—59.5%
WeirdML—82.6%
BigCodeBench Instruct29.3%—
BigCodeBench Complete35.4%—
ALE-Bench—1,524

Agentic & Tool Use Not comparable

Granite 3.0 8b Instruct: —, Kimi K3: 41.8 (#20)

Agentic & Tool Use benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
APEX-Agents—50.6%
τ²-bench Banking—37.1%
PostTrainBench—32%
GBAEval—48.3%
GDP.pdf—19%
Vending-Bench 2—5,165

Reasoning Kimi K3 leads

Granite 3.0 8b Instruct: 20.9 (#230), Kimi K3: 63.0 (#17)

Reasoning benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
LMArena Hard Prompts10921496
ARC-AGI-2—60.4%
SimpleBench—60.7%
NYT Connections (extended)—93.6%
ARC-AGI-1—94.5%
CritPt—23.4%
Chess Puzzles—39%
Mystery Game Puzzles—26%
DTBench—91.2%
LMCA—52.7%
Surface Evolver Bench—95%
Epoch Capabilities Index—157.45
ForecastBench—61.1

Math Kimi K3 leads

Granite 3.0 8b Instruct: 32.8 (#210), Kimi K3: 74.2 (#16)

Math benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
LMArena Math11431491
FrontierMath (Tiers 1-3)—72.2%
FrontierMath Tier 4—39%
MathArena Final-Answer Competitions—87.8%
OTIS Mock AIME 2024-2025—97.2%
ProofBench—87%

Knowledge Kimi K3 leads

Granite 3.0 8b Instruct: 29.6 (#236), Kimi K3: 63.2 (#21)

Knowledge benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
LMArena Expert10871521
GPQA Diamond—93.1%
SimpleQA Verified—50.6%

Multimodal Not comparable

Granite 3.0 8b Instruct: —, Kimi K3: 37.8 (#70)

Multimodal benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
Blueprint-Bench 2—29.5%
Furniture Assembly—34.2%

Multilingual Kimi K3 leads

Granite 3.0 8b Instruct: 27.2 (#276), Kimi K3: 56.3 (#21)

Multilingual benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
LMArena Non-English10371466
LMArena Chinese10631529
LMArena Russian10601482
LMArena French—1491
LMArena German—1488
LMArena Japanese—1487
LMArena Korean—1458
LMArena Spanish—1472

Instruction Following Kimi K3 leads

Granite 3.0 8b Instruct: 56.0 (#276), Kimi K3: 77.7 (#14)

Instruction Following benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
LMArena Instruction Following10881483

Long Context Kimi K3 leads

Granite 3.0 8b Instruct: 34.0 (#252), Kimi K3: 45.8 (#29)

Long Context benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
LMArena Longer Query11221494

Writing & Preference Kimi K3 leads

Granite 3.0 8b Instruct: 31.1 (#285), Kimi K3: 76.6 (#4)

Writing & Preference benchmarks
BenchmarkGranite 3.0 8b InstructKimi K3
LMArena Text10961476
LMArena Creative Writing10711454
LMArena Multi-Turn10631488
EQ-Bench Creative Writing—2082
EQ-Bench 4—1339

Frequently asked questions

Is Granite 3.0 8b Instruct better than Kimi K3?

Kimi K3 is the stronger model overall, scoring 59.5 to 31.6 on the Noometry Index.

Is Granite 3.0 8b Instruct or Kimi K3 better for coding?

Kimi K3 scores higher on coding benchmarks: 61.0 versus 29.7 in the Noometry coding category.

How many benchmarks do Granite 3.0 8b Instruct and Kimi K3 share?

12 benchmarks have published results for both models. Granite 3.0 8b Instruct has 14 scored results on Noometry and Kimi K3 has 53.

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