Noometry

Model comparison

Grok 4.20 Multi-Agent vs Kimi K2.7 Code

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 43.0 on the Noometry Index.

Last verified . 0 shared benchmarks.

Grok 4.20 Multi-Agent xAI

45.5

Rank #62 Confirmed

Kimi K2.7 Code Moonshot AI

43.0

Rank #90 Confirmed

Summary

  • The widest gap is in math, where Kimi K2.7 Code leads 52.6 to 36.6.
  • 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 Index45.543.0
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

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Too close to call

Grok 4.20 Multi-Agent: 42.4 (#91), Kimi K2.7 Code: 42.4 (#92)

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
DeepSWE—30.5%
FrontierCode—30.1%
LMArena WebDev—1473
SciCode—47.5%
WeirdML—54.1%
LMArena Coding1458—
ALE-Bench—886.23

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Kimi K2.7 Code: 23.9 (#115)

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: 42.4 (#44), Kimi K2.7 Code: 38.2 (#56)

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—150.01

Math Kimi K2.7 Code leads

Grok 4.20 Multi-Agent: 36.6 (#106), Kimi K2.7 Code: 52.6 (#39)

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 Math1441—

Knowledge Kimi K2.7 Code leads

Grok 4.20 Multi-Agent: 39.7 (#116), Kimi K2.7 Code: 53.6 (#51)

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: 39.8 (#44), Kimi K2.7 Code: —

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

Multilingual Not comparable

Grok 4.20 Multi-Agent: 54.6 (#40), Kimi K2.7 Code: —

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
LMArena Non-English1440—
LMArena Chinese1475—
LMArena French1467—
LMArena German1456—
LMArena Japanese1405—
LMArena Korean1416—
LMArena Russian1457—
LMArena Spanish1447—

Instruction Following Not comparable

Grok 4.20 Multi-Agent: 75.0 (#80), 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 (#84), Kimi K2.7 Code: —

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
LMArena Longer Query1430—

Writing & Preference Not comparable

Grok 4.20 Multi-Agent: 64.1 (#57), Kimi K2.7 Code: —

BenchmarkGrok 4.20 Multi-AgentKimi K2.7 Code
LMArena Text1450—
LMArena Creative Writing1435—
LMArena Multi-Turn1451—

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 45.5 to 43.0 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 (42.4 vs 42.4); 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.

Related comparisons

Go deeper