Noometry

Model comparison

Command R7B vs Kimi K3

Kimi K3 has enough public results to be ranked (#15); Command R7B does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

Command R7B Cohere

32.5

Unranked Sparse

Kimi K3 Moonshot AI

59.5

Rank #15 Confirmed

Summary

  • The widest gap is in agentic & tool use, where Kimi K3 leads 41.8 to 26.1.
  • Command R7B is cheaper at $0.0375 / $0.15 per million input/output tokens, against $3 / $15 for Kimi K3.
  • Kimi K3 accepts more context: 1.05M tokens versus 128K.

Side by side

Command R7BKimi K3
ProviderCohereMoonshot AI
Noometry Index32.559.5
Released2024-12-022026-07-16
WeightsOpenOpen
Context window128K1.05M
Max output4K1.05M
Input $ / M tokens$0.0375$3
Output $ / M tokens$0.15$15
Results tracked153

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Category by category

Coding Not comparable

Command R7B: —, Kimi K3: 61.0 (#10)

BenchmarkCommand R7BKimi K3
DeepSWE—68.5%
FrontierCode—44.2%
LMArena WebDev—1654
FrontierSWE—25.9%
SciCode—59.5%
WeirdML—82.6%
LMArena Coding—1508
ALE-Bench—1,524

Agentic & Tool Use Kimi K3 leads

Command R7B: 26.1, Kimi K3: 41.8 (#20)

BenchmarkCommand R7BKimi K3
APEX-Agents—50.6%
Berkeley Function Calling Leaderboard32.1%—
τ²-bench Banking—37.1%
PostTrainBench—32%
GBAEval—48.3%
GDP.pdf—19%
Vending-Bench 2—5,165

Reasoning Not comparable

Command R7B: —, Kimi K3: 63.0 (#17)

BenchmarkCommand R7BKimi K3
ARC-AGI-2—60.4%
SimpleBench—60.7%
NYT Connections (extended)—93.6%
ARC-AGI-1—94.5%
CritPt—23.4%
Chess Puzzles—39%
LMArena Hard Prompts—1496
Mystery Game Puzzles—26%
DTBench—91.2%
LMCA—52.7%
Surface Evolver Bench—95%
Epoch Capabilities Index—157.45
ForecastBench—61.1

Math Not comparable

Command R7B: —, Kimi K3: 74.2 (#16)

BenchmarkCommand R7BKimi K3
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%
LMArena Math—1491

Knowledge Not comparable

Command R7B: —, Kimi K3: 63.2 (#21)

BenchmarkCommand R7BKimi K3
GPQA Diamond—93.1%
SimpleQA Verified—50.6%
LMArena Expert—1521

Multimodal Not comparable

Command R7B: —, Kimi K3: 37.8 (#70)

BenchmarkCommand R7BKimi K3
Blueprint-Bench 2—29.5%
Furniture Assembly—34.2%

Multilingual Not comparable

Command R7B: —, Kimi K3: 56.3 (#21)

BenchmarkCommand R7BKimi K3
LMArena Non-English—1466
LMArena Chinese—1529
LMArena French—1491
LMArena German—1488
LMArena Japanese—1487
LMArena Korean—1458
LMArena Russian—1482
LMArena Spanish—1472

Instruction Following Not comparable

Command R7B: —, Kimi K3: 77.7 (#14)

BenchmarkCommand R7BKimi K3
LMArena Instruction Following—1483

Long Context Not comparable

Command R7B: —, Kimi K3: 45.8 (#29)

BenchmarkCommand R7BKimi K3
LMArena Longer Query—1494

Writing & Preference Not comparable

Command R7B: —, Kimi K3: 76.6 (#4)

BenchmarkCommand R7BKimi K3
LMArena Text—1476
LMArena Creative Writing—1454
EQ-Bench Creative Writing—2082
EQ-Bench 4—1339
LMArena Multi-Turn—1488

Frequently asked questions

Is Command R7B better than Kimi K3?

Kimi K3 has enough public results to be ranked (#15); Command R7B does not yet, so treat this comparison as directional.

Which is cheaper, Command R7B or Kimi K3?

Command R7B is cheaper. It lists at $0.0375 per million input tokens and $0.15 per million output tokens; Kimi K3 lists at $3 and $15.

Which has the bigger context window?

Kimi K3 does, with 1.05M tokens against 128K.

How many benchmarks do Command R7B and Kimi K3 share?

0 benchmarks have published results for both models. Command R7B has 1 scored results on Noometry and Kimi K3 has 53.

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