OPENAI MODEL GUIDE

GPT-6 Sol API

Built for complex coding and multi-step agents, with optional reasoning for workflows that also need non-reasoning requests.

Core specificationsModel Plaza checked October 5, 2026
Model IDgpt-6-sol
Context / max output1,050,000 / 128,000
Input and outputText and image input; text output
Thinkingnone / low / medium / high / xhigh / max; default medium
Vendor statusListed by LLMFly AI
02

Choosing and integrating

01

GPT-6 Sol API pricing breakdown

GPT-6 Sol (gpt-6-sol) is billed by token usage. Prices below are USD per 1M tokens. LLMFly AI rates already include the 0.3x group multiplier; do not apply it again. Provider reference prices are separate. These rates come from the site's Model Plaza snapshot; confirm live catalog and account rates before calling.

Example: a request with 10,000 uncached input tokens and 1,000 output tokens costs approximately $0.009 in LLMFly AI token charges. This excludes cache writes, tools, retries, and other additional fees.

  • Platform and provider prices use their own input-token tiers. Do not apply provider long-context multipliers to platform prices.
  • Not listed does not mean free. Account for cache reads, cache writes, and uncached input in their respective billing categories.
  • Token cost = tokens in each billing category × its price per million ÷ 1,000,000. Add tools and other charges separately.
Price sourceInput tokens per requestInputOutputCache writeCache read1h cache write
LLMFly AI0 < tokens ≤ 272,000$0.6$3$0.75$0.06$0.75
LLMFly AI272,000 < tokens$1.2$4.5$1.5$0.12$1.5
Provider reference0 < tokens ≤ 272,000$2$10$2.5$0.2$2.5
Provider reference272,000 < tokens$4$15$5$0.4$5
02

Pricing tiers and additional charges

OpenAI long-context tiers, caching, and tool charges depend on the exact model. The calculator evaluates LLMFly AI rates and vendor references separately and does not infer unlisted charges.

03

GPT-6 Sol capabilities and workloads

Built for complex coding and multi-step agents, with optional reasoning for workflows that also need non-reasoning requests.

Coding agents and existing Sol integrations that need control over whether to reason.

  • Streaming, structured outputs and Responses API tools, including computer use.
04

Limits to check before migration

  • Chat Completions function calling requires reasoning_effort=none; use Responses for reasoning with tools.
  • Verify vendor-native tools on the gateway route before using them in production.
05

Comparing GPT-6 Sol with sibling models

Compare the exact API ID, vendor lifecycle, context, maximum output, tools, and thinking controls first. Then measure pass rate, latency, tokens, and total cost on the same tasks. The GPT-6 Sol version or tier label alone does not prove better results.

06

Use the exact model ID when connecting

Set the model field to gpt-6-sol; do not infer its spelling from the display name. Configure the API address and key using the access documentation; the snippet only shows the model field, not a complete request.

  • Send a minimal text request and inspect the response and usage.
  • Test streaming, tool calls, and structured output separately if your application needs them.
  • Check retry behavior and spending limits before increasing traffic.
request.example
{
  "model": "gpt-6-sol"
}
07

Vendor capability versus gateway access

GPT-6 Sol's specifications above were checked in vendor documentation. No paid inference requests or account-route modality, tool, or beta-parameter tests were run in this review. Validate your application before launch; documentation review is not end-to-end compatibility certification.

Frequently asked questions

What should I put in the model field?

Use the exact ID gpt-6-sol, not the display name.

How is the discount calculated?

The current 0.3x multiplier is applied to the base rate, giving 70% off the catalog's official reference. Amounts are shown per million tokens.

Do these prices include every possible fee?

Not necessarily. Check cache-write duration, tools, and other route charges separately. Use the full pricing table and actual usage records to reconcile a bill.

What are the context and output limits?

Vendor documentation lists 1,050,000 context and 128,000 maximum output; confirm gateway route limits separately.

Use the GPT-6 Sol API

LLMFly AI provides this model. Use the exact ID gpt-6-sol and confirm current account pricing in Model Plaza.

View model and rates