GPT-6 Sol
openai/gpt-6-sol
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GPT-6 Sol

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openai/gpt-6-solReleased Sep 22, 2026

A GPT-6 reasoning model for complex coding and agentic workflows. It accepts text and images, supports a 1.05M-token context window, and offers reasoning effort from none to max.

Modalities
TextImageText
Context
1M
Max output
128K
Price / 1M tokens
$ 2.00in$ 10.00out
StreamingTool callingJSON outputImage inputThinking mode

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorBuilt to power complex coding and agentic workflows.source

Best for
  • Agentic coding · Handle complex software-engineering tasks in real codebases.(vendor claim)source

  • Professional workflows · Run end-to-end business workflows across tools and apps.(vendor claim)source

Neighbouring models
  • openai/gpt-6-astrastronger —Use Astra when the hardest tasks need the most capable GPT-6 model.
  • openai/gpt-6-lunacheaper —Use Luna for focused, high-volume tasks.
  • openai/gpt-5.6-solpredecessor —Use GPT-5.6 Sol only when preserving an established evaluation baseline matters.
Compare them side by side →

Pricing and billing

Tiered pricing: the rate changes once the input passes the threshold.

Price / 1M tokens by input sizeInput < 272.0KInput ≥ 272.0K
Input$ 2.00$ 4.00
Output$ 10.00$ 15.00
Cache read$ 0.20$ 0.40
Cache write$ 2.50$ 5.00
Estimate a request

At this input size you are on the Input < 272.0K tier.

$ 0.0400
Estimated cost per request
10.0K × $ 2.00
+ 2.0K × $ 10.00
≈ $ 40.00 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window
1.1M tokens
Max output
128.0K tokens
Input / output modalities
Text + Image → Text
Streaming
Supported
Tool calling
Supported
Structured output (JSON)
Supported
Image input
Supported
Thinking mode
Supported· always on
Reasoning effort
none · low · medium · high · xhigh · max
Available endpoints
/v1/chat/completions · /v1/responses · /v1/messages

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Agentic work
  • Agents' Last Exam
    score·OpenAI · 2026-09-22effort maxsetup not fully disclosed

    发布页正文给出的单一推理档位成绩;研究/API 配置可能不同于生产。

    56.4%
Coding
  • DeepSWE 1.1
    resolved_rate·OpenAI · 2026-09-22effort maxsetup not fully disclosed

    发布页正文给出的单一推理档位成绩;研究/API 配置可能不同于生产。

    68.8%
Computer use
  • OSWorld 2.0 (v2026.08.08 offline, partial score)
    score·OpenAI · 2026-09-22effort xhighsetup not fully disclosed

    发布页正文给出的单一推理档位成绩;研究/API 配置可能不同于生产。

    60.5%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

See all integration guides →

Frequently asked questions

What is GPT-6 Sol?
GPT-6 Sol is available on CrossModel as openai/gpt-6-sol. It has a 1M-token context window and can return up to 128K tokens per request.
How much does GPT-6 Sol cost?
Currently $ 2.00 per 1M input tokens and $ 10.00 per 1M output tokens. Cached input is billed at $ 0.20 per 1M.
Does GPT-6 Sol support tool calling and structured output?
Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported
Which endpoint do I call?
For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.
Can I try it without writing code?
Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Chat first, integrate later

Chat first, then wire it in once you like the answers.