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Claude Sonnet 4.6 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 Claude Sonnet 4.6 and Kimi K2.7 Code.

Anthropic

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

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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

SpecificationClaude Sonnet 4.6Kimi K2.7 Code
ProviderAnthropicMoonshot AI
Context Window1,000,000 tokens262,144 tokens
Agent Suitability94/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-172026-06-12

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.6

$3.00

Kimi K2.7 Code

$0.74

Output Price per Million Tokens

Claude Sonnet 4.6

$15.00

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
9040.0%vs8500.0%
Claude Sonnet 4.6
Kimi K2.7 Code
HumanEvalPython coding & logic synthesis
9370.0%vs9320.0%
Claude Sonnet 4.6
Kimi K2.7 Code
MATHComplex mathematical problem solving
8230.0%vs7650.0%
Claude Sonnet 4.6
Kimi K2.7 Code
GPQAGraduate-level expert reasoning
6500.0%vs4600.0%
Claude Sonnet 4.6
Kimi K2.7 Code
HellaSwagCommonsense reasoning and inference
9600.0%vs8600.0%
Claude Sonnet 4.6
Kimi K2.7 Code
MT-BenchMulti-turn conversation flow quality
940.0%vs900.0%
Claude Sonnet 4.6
Kimi K2.7 Code

Claude Sonnet 4.6 Quirks & Gotchas

  • โ–ธBest balance of speed and capability โ€” default for most Claude integrations
  • โ–ธComputer-use (beta) feature enables autonomous UI interaction

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.