How LLM API Pricing Works

Tokens, input vs output, context windows — why the same task can cost 50× more on one model than another, explained simply.

Home › AI Models › GPT-5.6 Sol vs GPT-6.1 Sol

GPT-5.6 Sol vs GPT-6.1 Sol: price comparison

Real 2026 API prices side by side, with the total cost of a typical 10M-input / 3M-output monthly workload.

Price & cost at a glance

GPT-5.6 SolGPT-6.1 Sol
Input / 1M tokens$4$2
Output / 1M tokens$20$10
Context window272K272K
Cost — 10M in + 3M out$100$50

Green = cheaper / larger. Prices per 1M tokens, USD. Snapshot 2026 — verify with the provider.

Which is cheaper?

GPT-6.1 Sol is the cheaper option on a 10M-in / 3M-out workload — about $50/mo versus $100 for GPT-5.6 Sol (~2.0× difference). Because output tokens are billed higher, the model with the lower output price usually wins as your responses get longer.

Run your own token mix in the cost calculator, or see each model in depth: GPT-5.6 Sol · GPT-6.1 Sol.

Frequently asked

Is GPT-5.6 Sol or GPT-6.1 Sol cheaper?

At a typical 10M input + 3M output tokens per month, GPT-6.1 Sol costs about $50 versus $100 for GPT-5.6 Sol — GPT-6.1 Sol is roughly 2.0x cheaper on this workload. Your ratio of input to output tokens changes the gap.

What's the price difference between GPT-5.6 Sol and GPT-6.1 Sol?

GPT-5.6 Sol is $4/$20 per 1M input/output tokens; GPT-6.1 Sol is $2/$10. Output tokens usually dominate a bill, so compare the output price first.

Which has the bigger context window, GPT-5.6 Sol or GPT-6.1 Sol?

GPT-5.6 Sol supports about 272K tokens and GPT-6.1 Sol about 272K. A bigger window costs more per call because every token in context is billed.

Educational estimates — not affiliated with any provider.