Kimi vs Claude

Kimi K2.5 (Moonshot AI, 月之暗面) vs Claude Sonnet 4 — the two top agentic AI models. Kimi offers 256K context at 95% lower cost. Which should you use?

Kimi K2.5

Moonshot AI · 月之暗面

Price$0.24/$1.20
Context256K
Best forLong agent loops

Claude Sonnet 4

Anthropic

Price$3.90/$19.50
Context200K
Best forProduction agents

Agentic benchmark

BenchmarkKimi K2.5Claude Sonnet 4Gap
Tool use (Berkeley Function)80.3%85.8%-5.5%
Long context (128K+)93.2%87.1%+6.1%
HumanEval (code)89.5%93.7%-4.2%
Multi-step tasks76.8%82.4%-5.6%
Cost / 1M tokens$1.44$27.0095% cheaper

Claude Sonnet wins on raw quality. Kimi wins on long-context and cost efficiency.

When to use which

Pick Kimi K2.5 if...

  • • Your agents have long memory (100K+ context per loop)
  • • You're iterating a lot (dev/staging) — 95% cost savings
  • • You need Chinese-aware agent behavior
  • • You're building research/writing agents (long context crucial)
  • • Your quality bar is "pretty good", not "production-perfect"

Pick Claude Sonnet if...

  • • You're shipping production agents (reliability matters)
  • • You need best-in-class tool use
  • • Quality gap is critical (coding, complex workflows)
  • • User-facing agents where mistakes hurt
  • • Fine-grained instruction following required

🎯 Best practice: Kimi for dev, Claude for prod

# Dev iteration — Kimi saves 95% during testing
if env == "dev":
    MODEL = "moonshot/kimi-k2.5"

# Production — use Claude for reliability
if env == "prod":
    MODEL = "anthropic/claude-sonnet"

# Or let AIPower auto-route
MODEL = "auto-code"  # picks best per task

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