Skip to main content
idapt
HomeAI ModelsPricing
Sign inStart free

Claude Opus 4.5 vs Kimi K2.7 Code

At a glance
AnthropicClaude Opus 4.5

Anthropic's frontier reasoning model for complex software engineering and agentic workflows.

81200K ctx$5.00/$25.00 per M#22/92
MoonshotAIKimi K2.7 Code

MoonshotAI's coding-focused Kimi model for end-to-end software engineering.

82262K ctx$0.74/$3.50 per M#20/92
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
AnthropicClaude Opus 4.5
Reasoning
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Capability
CapabilityECI81.4
Reasoning & Knowledge
Graduate Science80.7%Factual Recall—
Math
Competition Math48.1%Research Math20.7%
Coding
Real-World Coding76.7%
Agentic
Terminal Tasks63.1%Novel Reasoning7.8%Task Horizon4.9h
MoonshotAIKimi K2.7 Code
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
SmarterCheaper
Capability
CapabilityECI81.8
Reasoning & Knowledge
Graduate Science89.5%Factual Recall39.2%
Math
Competition Math96.4%Research Math—
Coding
Real-World Coding—
Agentic
Terminal Tasks—Novel Reasoning—Task Horizon—
Specs
AnthropicClaude Opus 4.5
200K
Context
64K
Max output
Nov 2025
Released
MoonshotAIKimi K2.7 Code
262K
Context
16K
Max output
Jun 2026
Released
Capabilities
AnthropicClaude Opus 4.5
Vision
Audio
Reasoning
MoonshotAIKimi K2.7 Code
Vision
Audio
Reasoning
Pricing
AnthropicClaude Opus 4.5
Live pricing, shown before you run
Input$5.00/M tokens
Output$25.00/M tokens
Cache read$0.50/M tokens
Cache write$6.25/M tokens
Web search$0.01/search
MoonshotAIKimi K2.7 Code
Live pricing, shown before you run
Input$0.74/M tokens
Output$3.50/M tokens
Cache read$0.15/M tokens
Chat with Claude Opus 4.5Go to model
Chat with Kimi K2.7 CodeGo to model
Frequently Asked Questions: Claude Opus 4.5 vs Kimi K2.7 Code▼

Which is better, Claude Opus 4.5 or Kimi K2.7 Code?

▼

Based on the Capability Index, Kimi K2.7 Code scores higher (81.8 vs 81.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.

Which is cheaper, Claude Opus 4.5 or Kimi K2.7 Code?

▼

Kimi K2.7 Code has a lower blended cost. Claude Opus 4.5: $5.00 input / $25.00 output. Kimi K2.7 Code: $0.74 input / $3.50 output.

Which has a larger context window, Claude Opus 4.5 or Kimi K2.7 Code?

▼

Kimi K2.7 Code has a larger context window: Claude Opus 4.5 supports 200K tokens vs Kimi K2.7 Code at 262K tokens.

Do both Claude Opus 4.5 and Kimi K2.7 Code support vision?

▼

Yes, both Claude Opus 4.5 and Kimi K2.7 Code support vision/image input.

What are the key differences between Claude Opus 4.5 and Kimi K2.7 Code?

▼

Key differences: Kimi K2.7 Code is significantly cheaper. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Claude Opus 4.5 and Kimi K2.7 Code for free on idapt.app to see which performs better for your specific needs.

Open in App
  • Home
  • Pricing
  • AI Models
  • Image models
  • Voice models
  • Video models
  • Rankings
  • New models
  • Model status
  • Multi-Model Chat
  • Voice Mode
  • Voice HUD
  • Web Search
  • Image Generation
  • Video Generation
  • Audio Generation
  • Transcription
  • Drive
  • Secrets
  • Sharing
  • Workspaces
  • Tasks
  • Memory
  • Agents
  • Subagents
  • Automations
  • Skills
  • Code Execution
  • Computers
  • Computer Use
  • Cloud Computers
  • Local AI
  • AI Gateway
  • API & SDK
  • CLI
  • MCP
  • Tunnels
  • All features →
  • Blog
  • Use cases
  • Comparisons
  • Best of
  • Learn
  • Free tools
  • Prompts
  • Templates
  • Changelog
  • Help center
  • FAQ
  • Privacy
  • Compare all models
  • Support
  • Developers
  • Quickstarts
  • API reference
  • API pricing
  • CLI
  • MCP
  • Downloads
  • Desktop
  • Badges and embeds
© idapt[email protected]TermsPrivacy PolicyLegal noticeReport content
X (Twitter)