Claude Opus 4.7 vs GPT-5.5

Compare Claude Opus 4.7 and GPT-5.5 on the metrics that decide an agent workload.

MetricClaude Opus 4.7GPT-5.5
ProviderAnthropicOpenAI
Input / 1M$5.00$5.00
Output / 1M$25.00$30.00
Cache read / 1M$0.50 (−90%)$0.50 (−90%)
Reuse-adj @55%$8.14$9.39
Context1M1.1M
Cache capture92%88%
Warm TTFT320ms (−64%)240ms (−67%)
Quality index9596

Teal marks the better value in each row. Reuse-adjusted assumes 55% prefix reuse and a 25% output share.

Pick Claude Opus 4.7 when

Pick Claude Opus 4.7 when it is cheaper once prefix reuse is priced in, it captures more of the available reuse.

Pick GPT-5.5 when

Pick GPT-5.5 when it scores higher on the composite quality index, it carries the larger 1.1M context window, it answers faster on warm cache hits.

Verdict

GPT-5.5 leads on quality while Claude Opus 4.7 leads on reuse-adjusted cost. Send latency- and budget-sensitive volume to Claude Opus 4.7 and reserve GPT-5.5 for the hard requests. Zumik's aliases route between them automatically under policy.

Claude Opus 4.7 vs GPT-5.5, answered.

Is Claude Opus 4.7 or GPT-5.5 cheaper?

At 55% prefix reuse, Claude Opus 4.7 blends to about $8.14 per 1M tokens and GPT-5.5 to about $9.39. Claude Opus 4.7 is cheaper on that basis.

Which has the larger context window?

GPT-5.5 has the larger window: 1.1M vs 1M tokens.

Which captures more reuse?

Claude Opus 4.7 shows higher measured cache capture (92% vs 88%) in the Zumik corpus.

Let an alias pick for you.

Route to whichever model wins under current policy automatically. Zumik resolves the alias to the best fit per request, so you never hard-code a loser.