Claude Opus 4.6 vs Kimi K3 (batch)
Side-by-side API pricing and Artificial Analysis performance for Claude Opus 4.6 (Anthropic) and Kimi K3 (batch) (Moonshot AI). Green cells mark the better value in each row.
Prices updated Sep 15, 2026, 1:45 AM UTC · refreshed hourly
| Claude Opus 4.6 Anthropic | Kimi K3 (batch) Moonshot AI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $5.00 | $3.00 |
| Output $/1M | $25.00 | $15.00 |
| Blended $/1M (3:1) | $10.00 | $6.00 |
| RAG example (30K in / 2K out) | $0.2 | $0.12 |
| Quality & speed | ||
| Intelligence Index | 26.4 | 43.8 |
| Coding Index | — | 76.2 |
| Agentic Index | — | 50.6 |
| Output speed (tok/s) | 0 | — |
| Time to first token | 0s | — |
| Specs | ||
| Context window | 1M | 1.05M |
| Input modalities | text, image, file | text, image, video |
FAQ
Which is cheaper, Claude Opus 4.6 or Kimi K3 (batch)?
Kimi K3 (batch) has the lower blended API price at $6.00 per 1M tokens (3:1 input:output mix), versus $10.00 for the other model. Prices are live from OpenRouter and refresh about hourly.
Which is better for RAG workloads?
For a typical RAG request (30K input / 2K output tokens), Kimi K3 (batch) costs about $0.12 per request versus $0.2. Also compare context windows: Claude Opus 4.6 offers 1M and Kimi K3 (batch) offers 1.05M.
Which scores higher on Artificial Analysis benchmarks?
Kimi K3 (batch) leads on the Artificial Analysis Intelligence Index (43.8 vs 26.4). Check coding and agentic indices on this page for workload-specific tradeoffs.