Model detail
GPT-5.6 Sol
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.
Model specs
- Context length
- 1.05M
- Max output
- 128K
- I/O modalities
- Text / Image
- Released
- 2026-07
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Tiered pricing
Unit: /1M Tokens
| Tier | Input /1M Tokens | Output /1M Tokens | Cache read /1M Tokens | Cache write /1M Tokens |
|---|---|---|---|---|
| standard Length ≤ 272K | $4.0000 | $20.0000 | $0.4000 | $5.0000 |
| long_context Length > 272K | $8.0000 | $30.0000 | $0.8000 | $10.0000 |
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Complex reasoning and multi-step coding tasks to test first
Use GPT-5.6 Sol for complex reasoning, coding, and agent workflows, with the official description highlighting command-line and multi-step coding tasks and long-horizon problem solving. The full specifications and capability list are not published yet, so start with one representative reasoning or coding task and compare results on your own workload.
model: "gpt-5.6-sol" and compare against your current setup.
What should you check before using it?
Check the 272K pricing tier boundary
Before adopting GPT-5.6 Sol, check the pricing boundary at 272K input tokens: requests at or below that length are billed $4.0000 per 1M input tokens, while longer requests move to the long-context tier at $8.0000. Measure your typical request size and estimate both tiers so the projected cost reflects your real usage.
Why use it through MixRoute?
Call it on the OpenAI-compatible endpoint with its model ID
Call GPT-5.6 Sol through MixRoute's OpenAI-compatible endpoint (POST /v1/chat/completions) with the model ID gpt-5.6-sol. Because the endpoint follows the OpenAI request format, you can keep your existing OpenAI-style client, change the model string, and test the same code path against your current setup.
/v1/chat/completions with model: "gpt-5.6-sol" and rerun your integration tests.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
For requests at or below 272K tokens, GPT-5.6 Sol charges $0.4000 per 1M tokens for cached reads instead of $4.0000 for standard input; above 272K, the long-context tier charges $0.8000 cache read versus $8.0000 input. The cache-read price is one tenth of the input price in both tiers. Measure how many input tokens repeat across your requests, then estimate with your own cache-to-input ratio before assuming a budget change.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.