gpt-5 vs claude-sonnet-5-5
OpenAI against Anthropic, priced on the same four workloads with price book 2026-10-22.
On real workloads
| Workload | gpt-5 per call | claude-sonnet-5-5 per call | Monthly difference |
|---|---|---|---|
| Chat reply 1,500 input and 400 output tokens, 100,000 calls a month |
$0.00588 | $0.007 | $112.50 |
| RAG answer, cached context 2,000 fresh + 4,000 cached input, 500 output, 100,000 calls a month |
$0.008 | $0.0094 | $140.00 |
| Agent step 4,000 fresh + 8,000 cached input, 800 output, 250,000 calls a month |
$0.01 | $0.02 | $700.00 |
| Batch summary 3,000 input and 300 output tokens via the Batch API, 1,000,000 calls a month |
$0.00337 | $0.0045 | $1,125.00 |
Monthly difference is claude-sonnet-5-5 minus gpt-5. Batch rows use each provider's Batch API rates where published. Price both on your own workload.
Rates
| Model | Input | Output | Cache read | Cache write | Context |
|---|---|---|---|---|---|
| openai/gpt-5 | $1.25 | $10.00 | $0.125 | — | 272K |
| anthropic/claude-sonnet-5-5 | $2.00 | $10.00 | $0.10 | $2.50 | 1M |
Price is one input. Before switching, run your own prompts through both and compare quality; then veqen diff prices the change at your production volume.