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Claude Opus 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 Opus 4.6 and Kimi K2.7 Code.

Anthropic

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

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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 Opus 4.6Kimi K2.7 Code
ProviderAnthropicMoonshot AI
Context Window1,000,000 tokens262,144 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042026-06-12

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

Kimi K2.7 Code

$0.74

Output Price per Million Tokens

Claude Opus 4.6

$25.00

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
9250.0%vs8500.0%
Claude Opus 4.6
Kimi K2.7 Code
HumanEvalPython coding & logic synthesis
9450.0%vs9320.0%
Claude Opus 4.6
Kimi K2.7 Code
MATHComplex mathematical problem solving
8890.0%vs7650.0%
Claude Opus 4.6
Kimi K2.7 Code
GPQAGraduate-level expert reasoning
7980.0%vs4600.0%
Claude Opus 4.6
Kimi K2.7 Code
HellaSwagCommonsense reasoning and inference
9750.0%vs8600.0%
Claude Opus 4.6
Kimi K2.7 Code
MT-BenchMulti-turn conversation flow quality
965.0%vs900.0%
Claude Opus 4.6
Kimi K2.7 Code

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

Kimi K2.7 Code Quirks & Gotchas

No developer gotchas reported.