Claude Opus 4.6 vs GPT-5.2 (batch)
Side-by-side API pricing and Artificial Analysis performance for Claude Opus 4.6 (Anthropic) and GPT-5.2 (batch) (OpenAI). Green cells mark the better value in each row.
Prices updated Sep 4, 2026, 3:51 AM UTC · refreshed hourly
| Claude Opus 4.6 Anthropic | GPT-5.2 (batch) OpenAI | |
|---|---|---|
| Pricing | ||
| Input $/1M | $5.00 | $0.875 |
| Output $/1M | $25.00 | $7.00 |
| Blended $/1M (3:1) | $10.00 | $2.41 |
| RAG example (30K in / 2K out) | $0.2 | $0.0403 |
| Quality & speed | ||
| Intelligence Index | 38.8 | 43.3 |
| Coding Index | — | — |
| Agentic Index | — | — |
| Output speed (tok/s) | 0 | 0 |
| Time to first token | 0s | 0s |
| Specs | ||
| Context window | 1M | 400K |
| Input modalities | text, image, file | file, image, text |
FAQ
Which is cheaper, Claude Opus 4.6 or GPT-5.2 (batch)?
GPT-5.2 (batch) has the lower blended API price at $2.41 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-5.2 (batch) costs about $0.0403 per request versus $0.2. Also compare context windows: Claude Opus 4.6 offers 1M and GPT-5.2 (batch) offers 400K.
Which scores higher on Artificial Analysis benchmarks?
GPT-5.2 (batch) leads on the Artificial Analysis Intelligence Index (43.3 vs 38.8). Check coding and agentic indices on this page for workload-specific tradeoffs.