OpenAI: GPT-6 Sol
gpt-6-sol- Input / Output-70%
- $2.00 / $10.00$0.60 / $3.00
- Context
- 1.05M
- Released
- Sep 23, 2026
- Max output
- 128K
- Modalities
- VisionChat
- Capabilities
- Tool usePrompt CacheReasoning
About GPT-6 Sol
GPT-6 Sol is the mid-to-upper model of OpenAI's GPT-6 generation, built for complex coding and agentic workflows at a lower cost than GPT-6 Astra. It was trained with methods similar to Astra's, improving professional work, factuality, computer use, and alignment over GPT-5.6 Sol. It takes text and images, calls tools, and supports a reasoning setting of none. OpenAI now recommends GPT-6.1 Sol for new work.
Where it works well
- Brings Astra-derived gains in coding, factuality, and computer use to a cheaper model than Astra.
- OpenAI ranks it second on its cost-first Codexometer coding benchmark, behind only GPT-6 Luna.
- Supports a reasoning setting of none as well as higher levels, unlike its successor.
- Accepts images and returns schema-checked JSON alongside tool calls.
When to choose another model
- OpenAI's guidance marks it as the choice for existing deployments and names GPT-6.1 Sol for new projects.
- Astra is still stronger on the hardest research and long computer-use tasks.
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-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 $2.00 / Output $10.00 / Cache read $0.20 / Cache write $2.50
- Verified price
- Input $0.60 / Output $3.00 / Cache read $0.06 / Cache write $0.75
- Discount
- -70%
Input tokens 272K-1.05M
per 1M tokens- Official price
- Input $4.00 / Output $15.00 / Cache read $0.40 / Cache write $5.00
- Verified price
- Input $1.20 / Output $4.50 / Cache read $0.12 / Cache write $1.50
- Discount
- -70%
Cache read
- Official price
- $0.20
- Verified price
- $0.06
- Discount
- -70%
Cache write
- Official price
- $2.50
- Verified price
- $0.75
- 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 $2.00 / Output $10.00 / Cache read $0.20 / Cache write $2.50 | Input $0.60 / Output $3.00 / Cache read $0.06 / Cache write $0.75 | -70% |
| Input tokens 272K-1.05M | Input $4.00 / Output $15.00 / Cache read $0.40 / Cache write $5.00 | Input $1.20 / Output $4.50 / Cache read $0.12 / Cache write $1.50 | -70% |
| Prompt cache pricing | |||
| Cache read | $0.20 | $0.06 | -70% |
| Cache write | $2.50 | $0.75 | -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
- 97.6%
- 7-day median latency
- 13.2sn=301
- 7-day P95 latency
- 91.9sn=301
- 30-day requests
- 3K+
- Last active
- 6 hours ago
Data is based on aggregate user requests, excluding status checks.
Open in Console
Open GPT-6 Sol in Console with a prompt ready to edit or send.
Help me try gpt-6-sol with a short message at /v1/responses. Show the reply, latency, and cost.
Use cases
Best for- Code
- Reasoning
- Vision
Coding agents in production
Run a repository agent that reads code, edits several files, and runs the tests, with Sol handling the planning step.
Multi-step business workflows
Chain lookups, calculations, and document edits across internal tools for operations teams.
Document understanding
Read mixed reports with tables and figures, answer questions about them, and return structured summaries.
Existing GPT-5.6 Sol upgrades
Replace a GPT-5.6 Sol integration and compare output quality on your own evaluation set.
Prompt examples
Plan the changes needed to add pagination to this API, edit the handlers, and update the tests that break.
From the attached quarterly report, build a table of segment revenue and flag any figure that conflicts with the narrative.
Walk through the refund workflow using the available tools for order 8812 and stop before issuing money.
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-6 Sol?
GPT-6 Sol is an OpenAI model for complex coding and agentic workflows in the GPT-6 generation. It sits below Astra and above Luna, and improves on GPT-5.6 Sol in alignment and professional work.
Should I use GPT-6 Sol or GPT-6.1 Sol?
OpenAI marks GPT-6 Sol as the legacy choice and says GPT-6.1 Sol supersedes it for new projects. Keep Sol where an integration is already validated, and test 6.1 Sol before extending it.
Does GPT-6 Sol support turning reasoning off?
Yes. Its reasoning effort options include none, which GPT-6.1 Sol and Astra do not offer. Use none for simple turns where thinking time adds nothing.
How is GPT-6 Sol different from GPT-6 Luna?
Sol is more capable and suited to planning, coding, and tool-heavy work; Luna favors speed and cost on focused tasks. Both descend from Astra's training approach.
Can GPT-6 Sol read images?
Yes. It accepts images with text, supports function calling and JSON schemas, and produces text output only. Both the Chat Completions and Responses formats work for requests.
How much does GPT-6 Sol cost?
On TokenLab, GPT-6 Sol costs Input $0.60 / Output $3.00 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-6 Sol?
GPT-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-6 Sol use?
Use https://api.tokenlab.sh/v1/responses for GPT-6 Sol. The request example below shows the matching code shape.
Which operations does GPT-6 Sol support?
GPT-6 Sol supports Text to text. Select an operation above to see its endpoint and request example.
Compare GPT-6 Sol
Sources
Reviewed Oct 2, 2026
