MoleAPI logo
MoleAPI
AI model gateway

OpenAI

gpt-5.6-sol

Model IDgpt-5.6-sol

Integration docsMarkdown

CompareStart using

Model introduction

GPT-5.6 Sol is OpenAI's flagship GPT-5.6 model for complex professional work, with an emphasis on difficult reasoning, software engineering, research, and tool-heavy agent workflows.

Model capabilities

Specifications come from the cited model material. Catalog tags help identify access features; use the source documentation for exact limits.

OpenAI compatibleResponses APIAnthropic compatibleGemini compatibleImage generationVisionPrompt cacheReasoning

Verified specifications

Official positioning
GPT-5.6 flagship for complex professional work
Context window
1,050,000 tokens
Maximum output
128,000 tokens
Knowledge cutoff
2026-02-16
Release date
2026-07-09
Input / output
Text, image / Text
Reasoning levels
none, low, medium, high, xhigh, max, and Pro
GPT-5.6 additions
Explicit caching, persisted reasoning, programmatic tools, multi-agent beta
Alias
gpt-5.6 routes to gpt-5.6-sol
Verified capabilities
Functions, structured outputs, streaming, web and file search, code execution, computer use, MCP

Sources: OpenAI GPT-5.6 Sol model documentation

Independent capability evaluation

Only public measurements matched to the exact model ID and reasoning profile are shown; nearby variants are not substituted.

Intelligence index

58

Cohort rank #6 / 190

Output speed

60.7 tok/s

Cohort rank #93 / 190

First-token latency

69.2s

Reasoning, xhigh effort

The xhigh profile places near the frontier on composite capability, with a long measured first-token delay that makes effort selection important in production.

Evaluation profile: Reasoning, xhigh effort. Artificial Analysis · Methodology

Model pricing and access

Prices are read directly from the MoleAPI console catalog and shown by current billing group and context tier.

Your final charge follows the account group shown in the console.
Live pricing source

Pricing table

USD / 1M tokens
Standardx1defaultInput $5 · Output $30
standard

Length ≤ 272K

Input
$5/ 1M
Output
$30/ 1M
Cache read
$0.5/ 1M
Cache write
$6.25/ 1M
Image input
$8/ 1M
Image output
$30/ 1M
long_context
Input
$10/ 1M
Output
$45/ 1M
Cache read
$1/ 1M
Cache write
$12.5/ 1M
Image input
$8/ 1M
Image output
$30/ 1M
Discountx0.8discountInput $4 · Output $24
standard

Length ≤ 272K

Input
$4/ 1M
Output
$24/ 1M
Cache read
$0.4/ 1M
Cache write
$5/ 1M
Image input
$6.4/ 1M
Image output
$24/ 1M
long_context
Input
$8/ 1M
Output
$36/ 1M
Cache read
$0.8/ 1M
Cache write
$10/ 1M
Image input
$6.4/ 1M
Image output
$24/ 1M
Relayx0.3relayInput $1.5 · Output $9
standard

Length ≤ 272K

Input
$1.5/ 1M
Output
$9/ 1M
Cache read
$0.15/ 1M
Cache write
$1.875/ 1M
Image input
$2.4/ 1M
Image output
$9/ 1M
long_context
Input
$3/ 1M
Output
$13.5/ 1M
Cache read
$0.3/ 1M
Cache write
$3.75/ 1M
Image input
$2.4/ 1M
Image output
$9/ 1M
Temporary (availability may vary)x0.1tempInput $0.5 · Output $3
standard

Length ≤ 272K

Input
$0.5/ 1M
Output
$3/ 1M
Cache read
$0.05/ 1M
Cache write
$0.625/ 1M
Image input
$0.8/ 1M
Image output
$3/ 1M
long_context
Input
$1/ 1M
Output
$4.5/ 1M
Cache read
$0.1/ 1M
Cache write
$1.25/ 1M
Image input
$0.8/ 1M
Image output
$3/ 1M

Access protocols

Available billing groups: Standard, Discount, Relay, Temporary (availability may vary)

openai
POST
/v1/chat/completions
openai-response
POST
/v1/responses
anthropic
POST
/v1/messages
gemini
POST
/v1beta/models/{model}:generateContent
image-generation
POST
/v1/images/generations
openai-response-compact
POST
/v1/responses/compact
openai-alpha-search
POST
/v1/alpha/search

Complete model guide

Prepared from vendor sources and independently reviewed. · 2026-07-28

GPT-5.6 Sol is OpenAI’s flagship GPT-5.6 model for complex production work, including coding, agentic tool use, computer use, and long-horizon knowledge workflows. [3] It combines configurable reasoning with Responses API features for tool orchestration and multi-turn applications. [4]

Positioning and core capabilities

GPT-5.6 Sol is the frontier-capability tier in the GPT-5.6 family, while Terra is positioned for balanced everyday work and Luna for efficient high-volume workloads. [3] The GPT-5.6 family is generally available. [3]

Sol supports six reasoning-effort levels: none, low, medium, high, xhigh, and max. [4] Pro mode is a separate reasoning setting that prioritizes reliability over latency and token use, with medium as the default effort when no level is specified. [4]

OpenAI recommends the Responses API for GPT-5.6 reasoning, tools, and multi-turn workflows. [4] GPT-5.6 adds explicit prompt caching and persisted reasoning as separate API features. [4]

Capabilities and specs

GPT-5.6 Sol accepts text and image inputs and produces text outputs. [1] Its tool-oriented API features include Programmatic Tool Calling and beta multi-agent orchestration. [4]

SpecificationDetails
Input modalitiesText and image [1]
Output modalityText [1]
Reasoning effortsnone, low, medium, high, xhigh, and max [4]
Reasoning modePro mode is available as a reasoning configuration. [4]
Workflow featuresExplicit prompt caching, persisted reasoning, Programmatic Tool Calling, and beta multi-agent orchestration. [4]

Programmatic Tool Calling enables the model to write JavaScript that invokes eligible tools and processes intermediate results in a hosted runtime. [4] The Responses API multi-agent beta enables a GPT-5.6 instance to coordinate parallel subagents and synthesize their results. [3]

OpenAI reports vendor-published GPT-5.6 Sol results of 92.2% on BrowseComp and 62.6% on OSWorld 2.0. [3]

Use cases

OpenAI positions GPT-5.6 Sol for difficult professional work spanning software engineering, research, computer use, cybersecurity, science, design judgment, and workflows that coordinate several tools. [3]

  • Complex coding and software-engineering workflows, including work that benefits from extended reasoning. [3]
  • Long-horizon research and professional knowledge tasks. [3]
  • Tool-heavy agent workflows using Programmatic Tool Calling and persisted reasoning. [4]
  • Parallel workstreams coordinated through the Responses API multi-agent beta. [3]
  • Frontend and interface work involving layout, visual hierarchy, and design judgment. [4]
  • Authorized cybersecurity work such as review, patching, and threat modeling. [3]

Material limitations

GPT-5.6 uses real-time cybersecurity and biology misuse classifiers that can refuse, block, or pause some requests. [3] These controls can occasionally affect legitimate dual-use cybersecurity or biology work. [3]

Higher reasoning efforts and Pro mode prioritize result quality over latency and token use. [4] OpenAI describes max as extending reasoning beyond xhigh, while multi-agent coordination increases token use when parallel workstreams are used. [3][4]

OpenAI states that GPT-5.6 models do not cross its Critical capability threshold in cybersecurity or biology. [3]

Sources

Code examples

These examples use MoleAPI's Responses API endpoint and run after you replace the API key.

curl https://api.moleapi.com/v1/responses \
  -H "Authorization: Bearer $MOLEAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.6-sol",
    "input": "Explain this problem step by step."
  }'

More related models

More OpenAI models

OpenAI

gpt-5.6-luna

$0.2 / 1M tokens / $1.2 / 1M tokens

OpenAI

gpt-5.6-terra

$2 / 1M tokens / $12 / 1M tokens

OpenAI

gpt-5.5

$5 / 1M tokens / $30 / 1M tokens

Frequently asked questions

How is gpt-5.6-sol priced?

This page reads prices from the MoleAPI console API and updates with model prices, context tiers, and account groups.

How can I access gpt-5.6-sol?

Protocols and endpoints come from the supported_endpoint_types field in the MoleAPI model catalog.

How do I switch an existing project to gpt-5.6-sol?

Keep the MoleAPI API address and key, replace the model parameter with the model ID on this page, then check protocol-specific parameter differences.

Where do the gpt-5.6-sol model details come from?

Capabilities and limitations are checked against OpenAI and the other cited pages. Pricing and available protocols come only from the MoleAPI console.