Claude Opus 4.6 vs GPT-5.6 Luna (batch)
Side-by-side API pricing and Artificial Analysis performance for Claude Opus 4.6 (Anthropic) and GPT-5.6 Luna (batch) (OpenAI). Green cells mark the better value in each row.
Prices updated Sep 5, 2026, 10:19 AM UTC · refreshed hourly
| Claude Opus 4.6 Anthropic | GPT-5.6 Luna (batch) OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $5.00 | $0.10 |
| Output $/1M | $25.00 | $0.60 |
| Blended $/1M (3:1) | $10.00 | $0.225 |
| RAG example (30K in / 2K out) | $0.2 | $0.0042 |
| Quality & speed | ||
| Intelligence Index | 30.8 | 43.4 |
| Coding Index | — | 71.4 |
| Agentic Index | — | 42.9 |
| Output speed (tok/s) | 0 | 110 |
| Time to first token | 0s | 109.24s |
| Specs | ||
| Context window | 1M | 1.05M |
| Input modalities | text, image, file | file, image, text |
FAQ
Which is cheaper, Claude Opus 4.6 or GPT-5.6 Luna (batch)?
GPT-5.6 Luna (batch) has the lower blended API price at $0.225 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), GPT-5.6 Luna (batch) costs about $0.0042 per request versus $0.2. Also compare context windows: Claude Opus 4.6 offers 1M and GPT-5.6 Luna (batch) offers 1.05M.
Which scores higher on Artificial Analysis benchmarks?
GPT-5.6 Luna (batch) leads on the Artificial Analysis Intelligence Index (43.4 vs 30.8). Check coding and agentic indices on this page for workload-specific tradeoffs.