OpenAI: gpt-6-sol

Price, performance, capabilities, and a ready-to-use request for GPT-6 Sol.

Compare models

gpt-6-sol

AvailableOpenAIChatCached input 90% less

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

Getting started

Create API key
Create a key in Console, then use it with every model on the platform.
02
Send your first request
Copy the example for your language and run it against the endpoint.
chat_completionResponses API
POST/v1/responses
API 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

Official price is the model maker's public baseline. TokenLab price is what you pay for this model on TokenLab.

Input tokens <= 272K

Per 1M tokens

Official price: Input $2.00 / Output $10.00 / Cache read $0.20 / Cache write $2.50
TokenLab 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
TokenLab price: Input $1.20 / Output $4.50 / Cache read $0.12 / Cache write $1.50
Discount: -70%

Prompt cache pricing

Cache read

Official price: $0.20
TokenLab price: $0.06
Discount: -70%

Cache write

Official price: $2.50
TokenLab price: $0.75
Discount: -70%

	Official pricePer 1M tokens	TokenLab 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%

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

No data yet

Model performance

Last updated Sep 23, 2026, 01:55 PM UTC

Metrics appear once privacy and data volume thresholds are met.

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

Writing, reviewing, and debugging code in real engineering loops

Reasoning

Multi-step reasoning, analysis, and research workflows

Vision

Reading images, parsing documents, and answering visual questions

Agents and tools

Handle reasoning, support triage, tool calls, and multi-step tasks.

Coding

Generate, review, or debug code in the tools you already use.

Knowledge assistants

Build chat, search, and retrieval with a clear price and capability profile.

Side-by-side test

Compare response quality, latency, and price side by side.

Prompt examples

Write a concise support reply and list the assumptions behind it.

Review this API design and call out the top three integration risks.

Turn a long changelog into release notes a non-engineer would read.

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

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 is GPT-6 Sol best for?

GPT-6 Sol supports Code, JSON mode, Prompt Cache. You can open it directly in Create.

How do I test GPT-6 Sol?

Open GPT-6 Sol in Create. A sample for /v1/responses will be ready to try.

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.

Can I test GPT-6 Sol before integrating it?

Yes. Open Console starts a ready draft for GPT-6 Sol and keeps your prompt after sign-in, so you don’t lose context.

Which operations does GPT-6 Sol support?

GPT-6 Sol supports chat_completion. Select an operation above to see its endpoint and request example.