GPT-5.6 Sol Model Specs, Costs & Benchmarks (July 2026)
GPT-5.6 Sol, developed by OpenAI, features a context window of 1.1M tokens. The model costs $5.00 per million tokens for input and $30.00 per million tokens for output. It was released on July 9, 2026, and has achieved impressive scores in various benchmarks.
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Overview
Model Provider The organization behind this AI's development | |
Input Context Window Maximum input tokens this model can process at once | 1.1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens |
Release Date When this model first became publicly available | July 9, 2026 17 days ago July 9th, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | February 16, 2026 |
Pricing
Short Context Pricing Base rates before a long-context threshold applies | |
|---|---|
Input Token Cost Cost per million input tokens | $5.00 per million tokens |
Output Token Cost Cost per million output tokens | $30.00 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search |
Cache Read Cost Cost to reuse cached input tokens | $0.50 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | $6.25 per million tokens |
Long Context Pricing Rates for prompts with 272,000 or more tokens | |
Input Token Cost Long-context input cost per million tokens | $10.00 per million tokens |
Output Token Cost Long-context output cost per million tokens | $45.00 per million tokens |
Cache Read Cost Long-context cache read cost per million tokens | $1.00 per million tokens |
Cache Write Cost Long-context cache write cost per million tokens | $12.50 per million tokens |
Capabilities & Features
Input Types Supported input formats | fileimagetext |
Output Types Supported output formats | text |
Tokenizer Text encoding system | GPT |
Key Features Advanced capabilities | β Function Callingβ Structured Outputβ Reasoning Modeβ Content Moderation |
Reasoning Controls Defaults and configurable reasoning effort | Enabled by defaultEffort: Max, Extra High, High, Medium, Low, NoneDefault: Medium |
Benchmarks
Intelligence Index Overall model quality across independent evaluations | 58.9 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 77.4 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 54 (Artificial Analysis index; higher is better) |
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