OpenAI · Model guide

GPT-5.6 Sol

Q: What is GPT-5.6 Sol?

GPT-5.6 Sol is available on CrossModel as openai/gpt-5.6-sol. It has a 1M-token context window and can return up to 128K tokens per request.

Q: How much does GPT-5.6 Sol cost?

Currently $ 5.00 per 1M input tokens and $ 30.00 per 1M output tokens. Cached input is billed at $ 0.50 per 1M.

Q: Does GPT-5.6 Sol support tool calling and structured output?

Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported

Q: 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.

Q: 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.

Compare

openai/gpt-5.6-sol

GPT-5.6 Sol is the flagship GPT-5.6 tier for complex professional work, coding, research and tool-driven agents. It adds max reasoning, persisted reasoning, programmatic tool calling, optional Pro mode and beta multi-agent execution.

Modalities

Context

Max output

128K

Price / 1M tokens

$ 5.00in$ 30.00out

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.

VendorThe GPT-5.6 flagship for frontier capability and complex professional work.source

Best for

Frontier agentic coding · OpenAI positions Sol as its strongest coding and complex-work model.(vendor claim)source
Complex professional work · Designed for end-to-end research, documents, spreadsheets and presentations.(vendor claim)source

Neighbouring models

openai/gpt-5.6-terracheaper —Use Terra when a lower price materially improves throughput.
openai/gpt-5.5predecessor —Use GPT-5.5 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 size	Input < 272.0K	Input ≥ 272.0K
Input	$ 5.00	$ 10.00
Output	$ 30.00	$ 45.00
Cache read	$ 0.50	$ 1.00
Cache write	$ 6.25	$ 12.50

Estimate a request

Input tokens10,000

Output tokens2,000

Cache hit rate0%

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

$ 0.1100

Estimated cost per request

10.0K × $ 5.00
+ 2.0K × $ 30.00

≈ $ 110.00 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

First-party sources:Specsdevelopers.openai.comCapabilitiesdevelopers.openai.com 1 developers.openai.com 2

Published benchmarks

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

Agentic coding

Terminal-Bench 2.1
pass_rate·OpenAI · 2026-07-09effort maxsetup not fully disclosed
88.8%

Agentic search

BrowseComp (with tools)
accuracy·OpenAI · 2026-07-09effort maxsetup not fully disclosed
90.4%

Agentic work

Agents' Last Exam
score·OpenAI · 2026-07-09effort maxsetup not fully disclosed
52.7%

Coding

SWE-Bench Pro (Public)
pass_rate·OpenAI · 2026-07-09effort maxsetup not fully disclosed
64.6%

Computer use

OSWorld 2.0
success_rate·OpenAI · 2026-07-09effort maxsetup not fully disclosed
62.6%

Long context

OpenAI MRCR v2 8-needle 512K–1M
accuracy·OpenAI · 2026-07-09effort maxsetup not fully disclosed
73.8%

Multimodal reasoning

MMMU Pro (with tools)
accuracy·OpenAI · 2026-07-09effort maxsetup not fully disclosed
84.6%

Scientific reasoning

GPQA Diamond
accuracy·OpenAI · 2026-07-09effort maxsetup not fully disclosed
94.6%

Tool use

Toolathlon
score·OpenAI · 2026-07-09effort maxsetup not fully disclosed
58%

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.

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Frequently asked questions

What is GPT-5.6 Sol?

GPT-5.6 Sol is available on CrossModel as openai/gpt-5.6-sol. It has a 1M-token context window and can return up to 128K tokens per request.

How much does GPT-5.6 Sol cost?

Currently $ 5.00 per 1M input tokens and $ 30.00 per 1M output tokens. Cached input is billed at $ 0.50 per 1M.

Does GPT-5.6 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?