Pricing comparison

Claude Opus 4.7 vs GPT-5.6 Sol

Per-token pricing, full-workload cost ladders, and monthly volume projections. Numbers sourced directly from each provider's rate card.

Anthropic

Claude Opus 4.7

Input
$5.00 / 1M
Output
$25.00 / 1M
Cached input
-
Context
1M
Max output
128K

OpenAI

GPT-5.6 Sol

Input
$5.00 / 1M
Output
$30.00 / 1M
Cached input
$0.500 / 1M
Context
1.5M
Max output
128K

Cost per request

Four common workload shapes, input tokens and a 1:2 output ratio (a standard chat/completion pattern). Long-context surcharges apply automatically where the provider charges them.

ScenarioTokens (in / out)Claude Opus 4.7GPT-5.6 SolWinner
Short prompt100 / 200$0.0063$0.0065Claude Opus 4.7
Typical request1,000 / 2,000$0.0633$0.0650Claude Opus 4.7
Long document10,000 / 5,000$0.2012$0.2000GPT-5.6 Sol
Large prompt100,000 / 10,000$0.8625$0.8000GPT-5.6 Sol

Monthly bill at scale

Projected monthly cost at typical request volume, assuming the "typical request" shape above (1k in, 2k out).

TrafficReq / monthClaude Opus 4.7GPT-5.6 SolDelta
Small SaaS1,000$63.25$65.00Claude Opus 4.7 -$1.75
Growing product10,000$632.50$650.00Claude Opus 4.7 -$17.50
Heavy usage100,000$6,325$6,500Claude Opus 4.7 -$175.00

Which should you use?

For the typical chat-shape request (~1k input, 2k output), Claude Opus 4.7 comes out 3% cheaper. If you're picking one as the default, that's usually the right choice on cost alone.

Context window differs: GPT-5.6 Sol holds 1.5M of input vs 1M on the other side. If you regularly push past the smaller ceiling, the comparison ends there.

Live cost calculator

Type in any token counts - both prices update instantly. Uses base input/output rates (no cache discount, no long-context tier).

Claude Opus 4.7

$0.0201

per request

GPT-5.6 Sol

$0.0200

per request

GPT-5.6 Sol is $0.0001 cheaper per request (0.6% less).

Try both in the estimator →

Drop your actual prompt in, tokens are counted with the provider's own tokenizer, and the dollar number matches what lands on your invoice.

Frequently asked

Which is cheaper, Claude Opus 4.7 or GPT-5.6 Sol?
On a typical 1,000-input / 2,000-output request, Claude Opus 4.7 costs ~$0.0633 vs ~$0.0650 on GPT-5.6 Sol. Input or output rates can flip the answer for very lopsided workloads - see the cost ladder above.
What's the difference in per-token pricing?
Claude Opus 4.7 charges $5.00 per 1M input tokens and $25.00 per 1M output tokens. GPT-5.6 Sol charges $5.00 / $30.00 per 1M.
Which has the bigger context window?
GPT-5.6 Sol is larger (1.5M) vs 1M on the other.
Is there a cached-input discount on either?
Claude Opus 4.7 does not publish a cached-input rate. GPT-5.6 Sol caches at $0.500 per 1M (90% off). Workloads with repeated static prefixes see the biggest savings.
How fresh is this comparison?
Claude Opus 4.7 was re-verified on 2026-04-17 and GPT-5.6 Sol on 2026-07-01 against each provider's published rate card. Calcis re-checks every row on a rolling schedule and re-deploys when a provider changes pricing.

Claude Opus 4.7 verified 2026-04-17 · GPT-5.6 Sol verified 2026-07-01. Rate cards at Anthropic and OpenAI.