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Grok 4.20 vs Kimi K2.7 Code

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Grok 4.20 and Kimi K2.7 Code.

xAI

Grok 4.20

Grok 4.20 is xAI's most advanced reasoning model, combining powerful analytical capabilities with unique real-time integration to the X (formerly Twitter) platform data stream. This live data access allows Grok 4.20 to answer queries with up-to-the-minute context, making it invaluable for financial analysis, current events research, and real-time market monitoring. Exceptionally strong in physics, advanced mathematics, and code synthesis, it operates with a 2-million-token context window and is priced at $1.25/MTok for input โ€” delivering frontier-tier reasoning at a highly competitive cost for developers building intelligent agents and analytical tools.

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Moonshot AI

Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts...

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Technical Specifications

SpecificationGrok 4.20Kimi K2.7 Code
ProviderxAIMoonshot AI
Context Window2,000,000 tokens262,144 tokens
Agent Suitability90/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-052026-06-12

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20

$1.25

Kimi K2.7 Code

$0.74

Output Price per Million Tokens

Grok 4.20

$2.50

Kimi K2.7 Code

$3.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9470.0%vs8500.0%
Grok 4.20
Kimi K2.7 Code
HumanEvalPython coding & logic synthesis
9700.0%vs9320.0%
Grok 4.20
Kimi K2.7 Code
MATHComplex mathematical problem solving
9380.0%vs7650.0%
Grok 4.20
Kimi K2.7 Code
GPQAGraduate-level expert reasoning
8490.0%vs4600.0%
Grok 4.20
Kimi K2.7 Code
HellaSwagCommonsense reasoning and inference
9880.0%vs8600.0%
Grok 4.20
Kimi K2.7 Code
MT-BenchMulti-turn conversation flow quality
970.0%vs900.0%
Grok 4.20
Kimi K2.7 Code

Grok 4.20 Quirks & Gotchas

  • โ–ธReal-time X data access โ€” unparalleled for current events / financial analysis
  • โ–ธTool calling API is still maturing โ€” test thoroughly for production agentic use

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.