GPT 5.5 vs Claude Opus 5 5 pricing
Side-by-side token pricing for GPT 5.5 (OpenAI) and Claude Opus 5 5 (Anthropic), plus the total cost at three workload sizes so the crossover point is obvious. Prices refreshed 2026-09-23 00:10 UTC.
| Metric | GPT 5.5 | Claude Opus 5 5 |
|---|---|---|
| Input $/1M tokens | $5 | $4 |
| Output $/1M tokens | $30 | $20 |
| Cached input $/1M | $0.5 | $0.2 |
| Context window | 1.1M | 1M |
| Max output | 128K | 128K |
| Vision | yes | yes |
| Tool calling | yes | yes |
| Cache pricing | yes | yes |
Total cost by workload
| Workload | GPT 5.5 | Claude Opus 5 5 | Cheaper |
|---|---|---|---|
| 1M tokens in · 300K out | $14 | $10 | Claude Opus 5 5 (29% less) |
| 10M tokens in · 3M out | $140 | $100 | Claude Opus 5 5 (29% less) |
| 100M tokens in · 30M out | $1400 | $1000 | Claude Opus 5 5 (29% less) |
On blended cost (weighted 3:1 toward input), Claude Opus 5 5 comes out cheaper by roughly 20% on input pricing. Pick Claude Opus 5 5 when the workload is price-sensitive and its context window covers your prompts; GPT 5.5 is the one to benchmark if you need vision, reasoning depth, or a different quality profile.
Frequently asked
› Is GPT 5.5 cheaper than Claude Opus 5 5?
On input pricing, Claude Opus 5 5 is cheaper ($4 vs $5 per 1M tokens). On blended cost the winner is Claude Opus 5 5, because output tokens are weighted differently for most workloads.
› Which has the larger context window?
GPT 5.5 offers the larger context (1.1M tokens).
› Do these prices include prompt caching?
Cached input is priced separately where a provider publishes a cache rate; the table above lists it per model so the comparison stays like-for-like.