GPT-5.5 vs Claude Opus 4.7 — Cost Comparison

OpenAI GPT-5.5 ($5 / $30) vs Anthropic Claude Opus 4.7 ($5 / $25) per 1M tokens.

GPT-5.5 and Claude Opus 4.7 are the two frontier reasoning models of 2026. Input pricing is identical at $5 per million tokens; output pricing favors Anthropic at $25 vs OpenAI's $30 per million — roughly 17% cheaper.

For a typical 4:1 input/output workload (e.g. document analysis with concise answers), the total bill is nearly identical. For output-heavy workloads (code generation, long-form research), Opus 4.7 ships at a measurable discount.

Models included

GPT-5.5 (OpenAI) — $5.00 input / $30.00 output per 1M tokens · 1M context window
Claude Opus 4.7 (Anthropic) — $5.00 input / $25.00 output per 1M tokens · 1M context window

Frequently asked questions

Is GPT-5.5 or Claude Opus 4.7 cheaper?

They tie on input ($5 / 1M each). Opus 4.7 is 17% cheaper on output ($25 vs $30 per 1M), so for output-heavy workloads Opus wins. For input-heavy workloads they are essentially equivalent.

Which model is better for agentic coding?

Benchmarks are close. GPT-5.5 leads on Terminal-Bench (82.7%), Opus 4.7 leads on long-context refactors. In practice, the right answer is task-specific — run both against your eval set before committing.

Does Claude Opus 4.7 support a 1M context window?

Yes — Claude Opus 4.7 supports 1M tokens of context at flat pricing, matching GPT-5.5.