GPT-5.6 Sol API Pricing & Cost Calculator

By TechCompare · Updated · How we check

GPT-5.6 Sol is OpenAI's deep reasoning tier. Compared to GPT-5.6 Terra's list price ($2/$12), it costs 2x on input and 1.7x on output. It only pays off when the work needs deep reasoning.

Calculator

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.Prices come live from OpenRouter at each maker's own price where it's listed. Temporary deals are left out.

Loading model prices

GPT-5.6 Sol is OpenAI's deep reasoning tier in the 5.6 generation, alongside Terra (the middle tier) and Luna. It's priced under Claude Opus 5 at $4/$20.

OpenAI: GPT-5.6 Sol

OpenAI's own price

Input
$4
Output
$20
Cached
$0.40

per 1M tokens

Batch availableFlex available

Price checked 2026-11-12

How this is calculated

GPT-5.6 Sol is priced at $4.00 per million input tokens and $20.00 per million output tokens, OpenAI's current list rate. Its prompt caching discount is 90% ($0.40 per million), and OpenAI's Batch API charges $2.00 per million inputs and $10.00 per million outputs.

Verdict

Make Terra the default for production traffic and put Sol at the top of the cascade for work where its reasoning depth changes the outcome: hard math proofs, deep multi-step planning, complex agentic chains.

GPT-5.6 Sol sits at $4/M input and $20/M output, with the 90% cache discount dropping input to $0.40/M and the 50% batch discount dropping both rows to $2/M input and $10/M output. The cost ratio against GPT-5.6 Terra at $2/$12 is 2x on input and 1.7x on output at standard rates.

More API Standalones scenarios

Frequently asked questions

Should I pick GPT-5.6 Sol or GPT-5.6 Terra?
Sol ($4/$20) for hard reasoning tasks, and Terra ($2/$12 list price, though OpenRouter sometimes shows temporary discounts) for high-volume everyday workloads. Sol's premium only earns its keep on the most demanding agentic chains where Terra's reasoning falls short.
How much does GPT-5.6 Sol cost per million output tokens?
GPT-5.6 Sol charges $20.00 per million output tokens at standard list pricing. Batch API output runs $10.00 per million. The 90% prompt caching discount brings cached input to $0.40 per million, useful for cache-heavy agentic workloads.
How does GPT-5.6 Sol compare to Claude Opus 5?
Sol is cheaper on both rows: $4/M input and $20/M output versus Opus 5's $5/M and $25/M. So Sol wins on price outright. The decision rests on capability and ecosystem: Sol has 1.05M context (Opus 5 has 1M) and OpenAI's tooling ecosystem, while Opus 5 counters with Anthropic's agentic tool-use strengths.