OpenAI: GPT-5.6 Sol
gpt-5.6-sol- Input / Output-70%
- $4.00 / $20.00$1.20 / $6.00
- Context
- 1.05M
- Released
- Jun 26, 2026
- Max output
- 128K
- Modalities
- VisionChat
- Capabilities
- Tool usePrompt CacheReasoning
About GPT-5.6 Sol
GPT-5.6 Sol is the flagship of OpenAI's GPT-5.6 family, built for complex professional work, coding, and long agentic workflows. It reads text and images, calls tools, returns structured JSON, and has adjustable reasoning effort. Sol is the tier above Terra and Luna, so use it where depth matters more than speed, and note that OpenAI now points new projects to GPT-6.
Where it works well
- Targets the hardest work in the GPT-5.6 family: complex coding, scientific analysis, and long multi-step agent runs.
- OpenAI reports it ahead of Claude Fable 5 on its Agents' Last Exam benchmark.
- Takes images with text and returns schema-checked JSON, so one request can read a diagram and emit structured output.
- Adjustable reasoning effort lets you spend thinking time only on turns that need it.
When to choose another model
- Terra and Luna cost less and answer faster, so routine drafting and classification rarely need Sol.
- OpenAI's guidance lists the GPT-5.6 family as legacy; GPT-6 models are the recommended starting point for new builds.
Getting started
Create API key
Create a key in Console, then use it with every model on the platform.
Send your first request
Copy the example for your language and run it against the endpoint.
Text to textResponses APIPOST/v1/responsesAPI format:curl https://api.tokenlab.sh/v1/responses \ -H "Content-Type: application/json" \ -H "Authorization: Bearer sk-xxx" \ -d '{ "model": "gpt-5.6-sol", "input": "Hello!" }'
Pricing
The Verified price applies to Verified, which costs less on most models. The Official price is the model maker's published price and applies to the more reliable Official route. Auto bills the route that completes the request.
Input tokens <= 272K
per 1M tokens- Official price
- Input $4.00 / Output $20.00 / Cache read $0.40 / Cache write $5.00
- Verified price
- Input $1.20 / Output $6.00 / Cache read $0.12 / Cache write $1.50
- Discount
- -70%
Input tokens 272K-1.05M
per 1M tokens- Official price
- Input $8.00 / Output $30.00 / Cache read $0.80 / Cache write $10.00
- Verified price
- Input $2.40 / Output $9.00 / Cache read $0.24 / Cache write $3.00
- Discount
- -70%
Cache read
- Official price
- $0.40
- Verified price
- $0.12
- Discount
- -70%
Cache write
- Official price
- $5.00
- Verified price
- $1.50
- Discount
- -70%
Charged per call, only when the model uses the tool.
Web search
- Official price
- $0.01/search
- Verified price
- $0.003/search
- Discount
- -70%
| Official priceper 1M tokens | Verified priceper 1M tokens | Discount | |
|---|---|---|---|
| Input tokens <= 272K | Input $4.00 / Output $20.00 / Cache read $0.40 / Cache write $5.00 | Input $1.20 / Output $6.00 / Cache read $0.12 / Cache write $1.50 | -70% |
| Input tokens 272K-1.05M | Input $8.00 / Output $30.00 / Cache read $0.80 / Cache write $10.00 | Input $2.40 / Output $9.00 / Cache read $0.24 / Cache write $3.00 | -70% |
| Prompt cache pricing | |||
| Cache read | $0.40 | $0.12 | -70% |
| Cache write | $5.00 | $1.50 | -70% |
| Tool feesCharged per call, only when the model uses the tool. | |||
| Web search | $0.01/search | $0.003/search | -70% |
Usage & activity
Success rate is the share of requests that completed. Latency is how long a full response takes; P95 means 95% of requests finished within that time.
Usage & availability
Last 24 hours- Requests
- Success rate
- P95 latency
- Total tokens
- 30-day success rate
- 95.7%
- 7-day median latency
- 12.8sn=1,628
- 7-day P95 latency
- 151.4sn=1,628
- 30-day requests
- 10K+
- Last active
- 43 minutes ago
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open GPT-5.6 Sol in Console with a prompt ready to edit or send.
Help me try gpt-5.6-sol with a short message at /v1/responses. Show the reply, latency, and cost.
Use cases
Best for- Code
- Reasoning
- Vision
Autonomous coding agents
Drive an agent that reads a repository, plans changes across files, runs tests, and iterates on failures over a long session.
Scientific and technical analysis
Work through papers, datasets, and derivations where reasoning depth decides whether the answer is usable.
Security review
Inspect code and configurations for vulnerabilities and explain how an attacker would chain them.
Complex document work
Combine long reports, tables, and figures into a structured briefing with cited sections.
Prompt examples
This integration test fails against the service code below. Find the root cause, write the fix, and describe what else could regress.
Read these three papers and reconcile their conflicting results, and name which assumptions explain the gap.
Audit this authentication module for flaws, rank them by severity, and show a minimal patch for the worst one.
This model has conditional pricing. Monthly token totals alone cannot produce a reliable estimate; use the detailed pricing for the request specification, cache, and applicable time window.
FAQ
What is GPT-5.6 Sol?
GPT-5.6 Sol is the top tier of OpenAI's GPT-5.6 family, designed for complex reasoning, coding, and long-running agentic tasks. Terra and Luna are the cheaper, faster siblings.
How is Sol different from Terra and Luna?
Sol gives the most capability and is the one to try on hard tasks; Terra balances cost and quality; Luna favors volume. Use the same prompt on each and keep the cheapest that passes your checks.
Does GPT-5.6 Sol support vision and structured output?
Yes. It accepts images next to text, supports function calling, and can return JSON that follows a schema. It produces text, not images or audio.
Is Sol the right choice over GPT-6 Sol?
For new projects, OpenAI recommends the GPT-6 family. Sol 5.6 is mostly for deployments already tested on it; compare with GPT-6 Sol or GPT-6.1 Sol before extending it.
How do I call GPT-5.6 Sol?
It works with standard OpenAI-style client code, and tool definitions, image parts and JSON schemas use the same fields as other GPT models, so no special client is needed.
How much does GPT-5.6 Sol cost?
On TokenLab, GPT-5.6 Sol costs Input $1.20 / Output $6.00 per 1M tokens. The pricing table above shows the full breakdown. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
What are the context window and output limit of GPT-5.6 Sol?
GPT-5.6 Sol accepts up to 1,050,000 tokens of context and returns up to 128,000 tokens in one response.
Which endpoint should GPT-5.6 Sol use?
Use https://api.tokenlab.sh/v1/responses for GPT-5.6 Sol. The request example below shows the matching code shape.
Which operations does GPT-5.6 Sol support?
GPT-5.6 Sol supports Text to text. Select an operation above to see its endpoint and request example.
Compare GPT-5.6 Sol
Sources
Reviewed Oct 2, 2026
More from OpenAI