comparison

GPT-5.5 vs Claude Sonnet 4.6

Token pricing, context window and real monthly cost, side by side. Claude Sonnet 4.6 is the cheaper of the two for a typical workload — about 1.9× less.

cheaper for a typical workload
Claude Sonnet 4.6
saves 47% vs GPT-5.5 at 1,500 in / 500 out × 200,000/mo
GPT-5.5 $4,500/mo
Claude Sonnet 4.6 $2,400/mo
GPT-5.5 versus Claude Sonnet 4.6 specifications and price.
metric GPT-5.5 Claude Sonnet 4.6
Input / 1M $5.00 $3.00
Output / 1M $30.00 $15.00
Context 1.1M 1M
Cost @ typical workload $4,500/mo $2,400/mo
Modality text + image text + image
Price source list list
Provider OpenAI Anthropic

Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →

Which should you pick?

On a typical workload, Claude Sonnet 4.6 costs $2,400/mo against GPT-5.5's $4,500/mo — roughly 1.9× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, GPT-5.5 has the larger 1.1M-token window (~1,575 pages).

These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures.

Frequently asked questions

Is GPT-5.5 or Claude Sonnet 4.6 cheaper?

For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Claude Sonnet 4.6 costs $2,400/mo versus $4,500/mo for GPT-5.5 — about 1.9× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.

What's the main difference between GPT-5.5 and Claude Sonnet 4.6?

On price, GPT-5.5 is $5.00/$30.00 per 1M (in/out) and Claude Sonnet 4.6 is $3.00/$15.00. GPT-5.5 has the larger context window at 1.1M tokens.

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