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GPT-6 Sol — Complex Coding & Agent Workflows

GPT-6 Sol is OpenAI’s model for complex coding and agentic workflows. GPT-6 Sol reads a 1,050,000-token context window, returns up to 128,000 tokens, takes text and images, and offers six reasoning effort levels. On reAPI, GPT-6 Sol is billed per token below OpenAI’s published rate.

Highlights
1.05M context · 128K output · six effort levels
Best for
Complex coding and agent workflows
Input
Text and images
Output
Text, streaming optional
GPT-6 Sol

Ask GPT-6 Sol

Start with the prompt in the composer or choose an example.

Enter to send · Shift+Enter for a new line

Pricing

Credit-based — 1 credit = $0.001 USD. Pay only for completed generations.

First test cost
$0.00969.6 credits

One 1K-token prompt with a 1K-token answer at the cheapest tier.

Testing budget guide
Add credits
$10
≈ 1041 tests
$50
≈ 5208 tests
$100
≈ 10416 tests
Category
Standard · prompts up to 272K tokens
Long context · prompts over 272K tokens
Input
$1.600
Price · 1M tokens
$3.200
Price · 1M tokens
Output
$8.000
Price · 1M tokens
$12.000
Price · 1M tokens
Cache read
$0.016
Price · 1M tokens
$0.320
Price · 1M tokens
Cache write
$2.000
Price · 1M tokens
$4.000
Price · 1M tokens

What is GPT-6 Sol?

GPT-6 Sol is an OpenAI model built for complex coding and agentic workflows. It accepts text and images and produces text, with room for large collections of source files, specifications, and review notes. Use GPT-6 Sol to plan work that needs several connected steps: understand a problem, inspect evidence, propose a change, and check the result. On reAPI, GPT-6 Sol is available through the OpenAI-compatible Chat Completions endpoint and billed per token.

What you can build with this model

Real-world workflows and production use cases you can build and ship with this model.

GPT-6 Sol coding poster with source, patch, and verification cards

GPT-6 Sol for coding: trace the cause, check the fix

Give GPT-6 Sol a reproducible failure, the relevant source files, and the behavior your tests should enforce. Ask for the cause before the patch, then request a focused change and a verification plan. For a migration, include compatibility requirements and rollout constraints. Evaluate GPT-6 Sol on whether the result addresses the original failure without breaking adjacent behavior, and keep a human review before merging changes.

Read the API docs
GPT-6 Sol research poster with documents feeding a decision brief

GPT-6 Sol for long context: connect the whole brief

Bring architecture notes, issue history, screenshots, and competing proposals into one review. Ask GPT-6 Sol to identify contradictions, separate evidence from assumptions, and reference the supplied material for each conclusion. A useful output might be a migration brief with dependencies, risks, and unanswered questions. The context window gives GPT-6 Sol room to consider more material; you still need a clear question and a result your team can inspect.

GPT-6 Sol tools poster connecting Plan, Tools, and Result

GPT-6 Sol for agents: turn tool results into next steps

Plan a workflow where GPT-6 Sol can inspect information, request a tool action, read the result, and continue toward a defined outcome. Your application controls permissions, executes custom tools, and decides when approval is required. OpenAI recommends the Responses API for tools with GPT-6 Sol. reAPI serves GPT-6 Sol through Chat Completions, where function calling works at every reasoning_effort value.

Why reAPI for GPT-6 Sol

Give GPT-6 Sol the context a task needs

OpenAI documents a 1,050,000-token context window and a maximum of 922,000 input tokens. That gives GPT-6 Sol room for related files and background decisions in a single task. Select material that bears on the question, label its source, and reserve space for the answer. A large context budget is useful when the important evidence spans several documents.

Match GPT-6 Sol reasoning to the work

GPT-6 Sol offers six reasoning effort levels, from none through max, with medium as the default. Start with a representative task and compare the quality and response time at different settings. A straightforward transformation and a difficult debugging investigation may need different choices. Measure whether extra reasoning improves the result enough to justify the additional time and token usage.

Design GPT-6 Sol workflows with clear boundaries

Decide what GPT-6 Sol can read, which tools it can request, and what a completed task looks like. Keep tool outputs available for the next step and preserve a record of changes for review. For deployment or other consequential actions, put approval in the application. This makes an agent workflow easier to inspect when a task succeeds or needs correction.

GPT-6 Sol vs GPT-5.6 Sol

GPT-6 Sol and GPT-5.6 Sol are separate OpenAI models. Their published context limits are the same, so compare the quality of completed work rather than treating context size as a performance score.

Documented characteristic
GPT-6 Sol
GPT-5.6 Sol
Model identifier
gpt-6-sol
gpt-5.6-sol
Positioning
Complex coding and agentic workflows
Complex professional work
Context window
1,050,000 tokens
1,050,000 tokens
Maximum output
128,000 tokens
128,000 tokens
Default reasoning effort
Medium
Medium
Knowledge cutoff
April 20, 2026
February 16, 2026

Source: OpenAI model documentation, reviewed September 24, 2026. Official specifications do not establish a measured performance advantage.

Ship GPT-6 Sol in three steps

  1. step 01

    Create a reAPI API key

    Sign in to reAPI and create a key under API keys. The same key reaches GPT-6 Sol and every other model on the platform, billed from one balance.

    Open
  2. step 02

    Point your client at reapi.ai

    Set the base URL to https://reapi.ai/api/v1 and use the key you just created. Any client that already speaks OpenAI Chat Completions works without an SDK change.

    Open
  3. step 03

    Send gpt-6-sol as the model

    Set the model field to gpt-6-sol and post your messages. Leave room in max_completion_tokens for reasoning, and turn on streaming for long tasks. Requests with tools work at every reasoning_effort.

    Open
docs/api/gpt-6-sol

API reference

Drop-in code and the full parameter table.

View full reference
curl https://reapi.ai/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6-sol",
    "messages": [
      { "role": "user", "content": "Hello" }
    ],
    "reasoning_effort": "medium",
    "max_completion_tokens": 16000,
    "stream": true
  }'

Parameter validation failed

Rejected synchronously with the failing field named. Check enum values, ranges, and URL fields — nothing is charged.

Authentication or balance issue

401 means a missing or invalid Bearer key; 402 means the reserve exceeds your balance. Manage keys and credits in the console.

Content or material rejected

Reference material and outputs pass automated moderation. Rejected tasks fail with a clear error and a full refund.

Task failed or timed out

A task that reaches a failed state is never charged — the reserve refunds automatically. Keep the task id and retry when ready.

Frequently asked questions

Common questions about this model.

GPT-6 Sol is OpenAI’s model for complex coding and agentic workflows. It takes text and image inputs and returns text. Its official model identifier is gpt-6-sol. On reAPI, GPT-6 Sol is served through the Chat Completions endpoint and billed per token.

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