LLM Comparison
Kimi K2.5 vs Claude Opus 4.7
Side-by-side specs, pricing & capabilities · Updated May 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 62 58.8 | 71 4.7 |
| Family | Kimi | Claude |
| Status | Current | Current |
| Release Date | Jan 2026 | Apr 2026 |
| Context Window | 262K tokens | 1.0M tokens |
| Input Price | $0.38/M tokens | $5.00/M tokens |
| Output Price | $1.72/M tokens | $25.00/M tokens |
| Pricing Notes | Cache read: $0.1913/M tokens | Cache read: $0.5000/M tokens |
| Capabilities | textvisioncode | textvisioncodetool-use |
| Max Output | 66K tokens | 128K tokens |
| API Identifier | moonshotai/kimi-k2.5 | anthropic/claude-opus-4.7 |
| Benchmarks | ||
| MMLU | — | 84.7anthropic |
| MMLU-Pro | — | 78.1anthropic |
| MMMLU | — | 92anthropic |
| GPQA Diamond | — | 94.2anthropic |
| HLE | — | 54.7artificial-analysis |
| SWE-bench Verified | — | 87.6anthropic |
| SWE-bench Pro | — | 64.3anthropic |
| SWE-bench Multilingual+Multimodal | — | 80.5anthropic |
| Terminal-Bench | — | 69.4anthropic |
| MCP-Atlas | — | 77.3anthropic |
| Berkeley Function Calling | — | 77.3anthropic |
| OSWorld-Verified | — | 78anthropic |
| BrowseComp | — | 79.3anthropic |
| CharXiv-R | — | 91anthropic |
| DocVQA | — | 93.1anthropic |
| CyberGym | — | 73.1anthropic |
| GDPVal-AA Elo | — | 1753artificial-analysis |
| View Kimi K2.5 | View Claude Opus 4.7 | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Kimi K2.5Cheapest | $0.38 | $0.86 | $1.24 | — |
| Claude Opus 4.7 | $5.00 | $12.50 | $17.50 | +1308% |
Moonshot AI
Kimi K2.5
Kimi K2.5 is a multimodal llm from Moonshot AI. Supports up to 262,144 token context window. Available from $0.38/M input tokens.
Anthropic
Claude Opus 4.7
Claude Opus 4.7 is Anthropic's most capable generally available model, with significant improvements in advanced software engineering, agentic tool use, and vision resolution. Achieves 87.6% on SWE-bench Verified and 94.2% on GPQA Diamond. Supports up to 1,000,000 token context window with 3.3x higher-resolution vision than Opus 4.6.
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