Claude vs Kimi
Thoughtful reasoning with a 1M-token memory vs long-context specialist for large documents
Claude vs Kimi at a glance
| Claude | Kimi | |
|---|---|---|
| Developer | Anthropic | Moonshot AI |
| Latest version | Claude Opus 4.8 | Kimi K3 |
| Known for | Thoughtful | Long-context |
| Context window | Up to 1 million tokens (Opus & Sonnet) | Up to 1 million tokens |
| Multimodal support | Text and images | Text, images, and video |
| Open source | No | Partially |
| Official pricing | Free tier available; Pro is $20/mo, Max is $100/mo | Free to chat here; API from $0.30 per million cached tokens |
Claude benchmark highlight
Scores 88.6% on SWE-bench Verified and 93.6% on GPQA Diamond
Kimi benchmark highlight
Ranked #1 on LMArena's Frontend Code Arena, ahead of GPT and Claude on that leaderboard
Which one should you use?
Choose Claude if you want:
- Long documents & codebases
- Careful, nuanced writing
- Agentic coding tasks
- Multi-step research
Choose Kimi if you want:
- Large document analysis
- Long-context research
- Cost-efficient agentic tasks
- Processing books & lengthy reports
Standout strengths
Claude
1M-token context window
Process entire codebases, legal documents, or book-length content in a single prompt.
Adaptive reasoning
Evaluates how complex a problem is and decides how much to reason before answering.
Persistent memory
Remembers your name, communication style, and ongoing project context across conversations.
Kimi
1M-token context window
Reads entire books, research papers, or codebases in a single pass without losing track.
Fast decoding at scale
A hybrid attention mechanism keeps long-context responses fast instead of slowing to a crawl.
Native vision understanding
Combines strong vision and language understanding in one model, not a separate add-on.
Frequently asked questions
Try Claude and Kimi for free
No credit card, no account required — pick Claude for long documents & codebases, or Kimi for large document analysis.