Noometry

Model comparison

Grok 4.20 Multi-Agent vs Kimi K2.7 Code

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 43.3 on the Noometry Index.

Last verified . 0 shared benchmarks.

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Kimi K2.7 Code Moonshot AI

43.3

Rank #94 Confirmed

Summary

  • The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 39.4.
  • Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
  • Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 262K.
  • Kimi K2.7 Code has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-AgentKimi K2.7 Code
ProviderxAIMoonshot AI
Noometry Index46.243.3
Released2026-03-092026-06-12
WeightsProprietaryOpen
Context window1M262K
Max output30K262K
Input $ / M tokens$1.25$0.95
Output $ / M tokens$2.50$4
Results tracked2019

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Category by category

Coding Too close to call

Grok 4.20 Multi-Agent: 43.0 (#92), Kimi K2.7 Code: 42.9 (#95)

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
DeepSWE—30.5%
FrontierCode—30.1%
LMArena WebDev—1473
SciCode—47.5%
WeirdML—54.1%
LMArena Coding1457—
ALE-Bench—886.23

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Kimi K2.7 Code: 24.0 (#122)

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
APEX-Agents—37.6%
GBAEval—0.9%
LMArena Search1204—
Vending-Bench 2—5,083

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.9 (#48), Kimi K2.7 Code: 39.0 (#61)

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
SimpleBench—57.9%
NYT Connections (extended)89.6%—
CritPt—10%
Chess Puzzles—21%
LMArena Hard Prompts1448—
Surface Evolver Bench—48.8%
Epoch Capabilities Index—149.97

Math Kimi K2.7 Code leads

Grok 4.20 Multi-Agent: 39.4 (#104), Kimi K2.7 Code: 52.9 (#48)

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
FrontierMath (Tiers 1-3)—54%
FrontierMath Tier 4—12.2%
OTIS Mock AIME 2024-2025—95.6%
LMArena Math1442—

Knowledge Kimi K2.7 Code leads

Grok 4.20 Multi-Agent: 40.4 (#119), Kimi K2.7 Code: 53.5 (#57)

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
GPQA Diamond—87.9%
SimpleQA Verified—36.5%
LMArena Expert1445—

Multimodal Not comparable

Grok 4.20 Multi-Agent: 40.5 (#48), Kimi K2.7 Code: —

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
LMArena Vision1259—

Multilingual Not comparable

Grok 4.20 Multi-Agent: 54.4 (#43), Kimi K2.7 Code: —

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
LMArena Non-English1440—
LMArena Chinese1475—
LMArena French1466—
LMArena German1456—
LMArena Japanese1405—
LMArena Korean1416—
LMArena Russian1457—
LMArena Spanish1447—

Instruction Following Not comparable

Grok 4.20 Multi-Agent: 74.8 (#84), Kimi K2.7 Code: —

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
LMArena Instruction Following1420—

Long Context Not comparable

Grok 4.20 Multi-Agent: 43.7 (#88), Kimi K2.7 Code: —

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
LMArena Longer Query1431—

Writing & Preference Not comparable

Grok 4.20 Multi-Agent: 64.0 (#59), Kimi K2.7 Code: —

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
LMArena Text1450—
LMArena Creative Writing1436—
LMArena Multi-Turn1452—

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Kimi K2.7 Code?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 43.3 on the Noometry Index.

Which is cheaper, Grok 4.20 Multi-Agent or Kimi K2.7 Code?

Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.

Is Grok 4.20 Multi-Agent or Kimi K2.7 Code better for coding?

They score almost the same on coding (43.0 vs 42.9); test both on your own repository before choosing.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 262K.

How many benchmarks do Grok 4.20 Multi-Agent and Kimi K2.7 Code share?

0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Kimi K2.7 Code has 19.

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