OpenAI's flagship frontier language model designed for complex reasoning, professional knowledge work, advanced agents, and software engineering, featuring long-context processing, multimodal understanding, and powerful tool capabilities.
OpenAI
| Item | Specification |
|---|---|
| Input | Text, Image |
| Output | Text |
| Context | 1,050,000 tokens |
| Max Output | 128,000 tokens |
| Vision | ✓ Supported |
| Function Calling | ✓ Supported |
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 family, released on July 9, 2026 for complex professional work, deep reasoning, and agentic tasks. In the API, the gpt-5.6 alias points to this model. Its knowledge cutoff is February 16, 2026; OpenAI has not disclosed its parameter count or a unified set of benchmark scores.
Compared with earlier GPT-5 models, it expands reasoning effort to six levels—none, low, medium, high, xhigh, and max—and adds persisted reasoning, Pro reasoning mode, Programmatic Tool Calling, explicit prompt caching, and multi-agent orchestration in beta. It can also process images at their original dimensions and use retrieval, code execution, computer interaction, MCP, and Skills through the Responses API.
original image detail support interfaces, charts, and document images where source-resolution information matters.| Feature | Benefit |
|---|---|
| Six Reasoning Levels and Pro Mode | Provides fine-grained control over quality, response time, and compute cost according to task value and complexity. |
| Persisted Reasoning | Reuses reasoning state across tool calls and turns, reducing repeated work and improving continuity. |
| 1.05M-Token Context | Handles very long source material and large codebases in one request, reducing information loss from chunking. |
| Programmatic Tool Calling | Lets the model invoke tools while executing code, reducing round trips in complex agent workflows. |
| Broad Hosted Tool Ecosystem | Web Search, File Search, Hosted Shell, Computer Use, MCP, and Skills cover retrieval, execution, and external-system interaction. |
| Explicit Prompt Caching and Token Efficiency | Gives developers more direct cache control and can complete complex tasks with fewer tokens, improving production cost and latency. |
Tiered by input prompt tokens (incl. cache): once over the threshold, the whole request is billed at the higher tier.
| Token Type | Short context ≤272K | Long context >272K |
|---|---|---|
| Input | $3$4-25% | $6$8-25% |
| Output | $15$20-25% | $22.5$30-25% |
| Cached input | $0.3$0.4-25% | $0.6$0.8-25% |
| Cache write | $3.75$5-25% | $7.5$10-25% |