A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.
GPT-5.6 Sol API pricing (October 2026)
Promotional price (20% off input, 33% off output), available at least through 21 Nov 2026. Prompts over 272K tokens bill the whole request at 2x input and 1.5x output.
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- OpenAI
- Context window
- 1.1M tokens
- Max output
- 128K tokens
- Tier
- frontier
- Status
- GA
- Blended $/1M (3:1)
- $8.00
- Cache break-even hit rate
- 22%
- Prices verified
- 12 Oct 2026
Source: OpenAI pricing. Finitizer is not affiliated with OpenAI.
Similar models
Other GPT models
- GPT-6 Astra+$12.00
- GPT-6.1 Sol-$4.00
- GPT-6 Luna-$7.80
- GPT-5.6 Terra-$3.50
- GPT-5.6 Luna-$7.55
- GPT-5-$4.56
- GPT-5 mini-$7.31
- GPT-5 nano-$7.86
- GPT-4.1-$4.50
- GPT-4.1 mini-$7.30
- GPT-4.1 nano-$7.83
- GPT-4o-$3.63
- GPT-4o mini-$7.74
- o3-$4.50
- o4-mini-$6.07
Closest prices elsewhere
- Claude Opus 5.5same price
- Claude Opus 5+$2.00
- Claude Sonnet 4.5-$2.00
- Amazon Nova Premier-$3.00
Frequently asked questions
How much does GPT-5.6 Sol cost per 1M tokens?
GPT-5.6 Sol costs $4.00 per million input tokens and $20.00 per million output tokens at OpenAI list prices. Output is 5.0x the input rate, so the input:output ratio of your workload drives the real cost more than the headline price.
Does GPT-5.6 Sol support prompt caching?
Yes. Cached input is billed at $0.400 per million tokens, 10x cheaper than uncached input. Cache writes carry a premium, so caching only pays above roughly a 22% hit rate.
What is the batch discount for GPT-5.6 Sol?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $2.00 and output to $10.00 per million tokens.
What is GPT-5.6 Sol's context window?
1.1M tokens of context with up to 128K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.
Running GPT-5.6 Sol in production?
Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.
See how Finitizer works