GPT-6.1 Sol: API Pricing and Coding Scope
OpenAI released GPT-6.1 Sol on September 29, 2026. This text-based model targets complex coding with specific API pricing and tool calling support.
Release Announcement and Model Scope
The source event date is September 29, 2026. On this date, OpenAI released GPT-6.1 Sol, identified by the model ID gpt-6.1-sol. The official changelog describes the model as being for complex coding and professional work. The documentation explicitly states that this model operates at a lower cost than GPT-6 Astra. The model accepts text input and produces text output. The source does not specify context window limits or maximum output token counts.
- Model Name: GPT 6.1 Sol
- Model ID: gpt-6.1-sol
- Provider: OpenAI
- Input Modalities: Text
- Output Modalities: Text
- Open Weights Status: Not confirmed
API Endpoints and Documented Pricing
GPT-6.1 Sol supports two API endpoints: v1/responses and v1/chat/completions. For tool calling functionality, the documentation directs users to utilize the Responses API. A beta feature named Multi-agent is supported, which allows the model to delegate work to subagents within a Responses API request. Standard pricing for prompts with up to 272K input tokens is $2 per million input tokens, $0.10 per million cached input tokens, $2.50 per million cache write tokens, and $10 per million output tokens. Users are directed to consult GPT-6 model guidance for reasoning settings and available processing tiers.
- Supported APIs: v1/responses, v1/chat/completions
- Tool Calling: Use Responses API
- Multi-agent Feature: Beta support via Responses API
- Input Price: $2 per 1M tokens
- Cached Input Price: $0.10 per 1M tokens
- Cache Write Price: $2.50 per 1M tokens
- Output Price: $10 per 1M tokens
Evaluation Procedure and Evidence Limits
Engineers can evaluate the model by defining specific coding tasks relevant to their workflow. First, test the model using the v1/responses endpoint to verify tool calling functionality. Measure the latency and token usage for these requests against the documented pricing tiers. Compare the output quality against existing models used in production environments to assess suitability for complex coding tasks. Validate that the multi-agent beta feature functions as expected by delegating simple subtasks. The source confirms open weights are not confirmed; it does not establish whether local installation is possible or impossible. Evaluation should focus on API-based performance and cost efficiency relative to the stated pricing.
- Test tool calling via v1/responses
- Measure response time and token consumption
- Compare code accuracy against baseline models
- Validate multi-agent delegation in beta mode
Artificial Analysis benchmark review
Benchmark review updated on . These scores apply to the linked artifact and recorded methodology; they do not establish the performance of a different runtime or quantized model.
| Measurement | Recorded result | Measured |
|---|---|---|
| Artificial Analysis Intelligence Index (v4.3) ↗ | 51.8 index_points | 2026-09-30 |
Review the full benchmark provenance and source methodology →
Primary sources
Frequently asked questions
What is the standard pricing for GPT-6.1 Sol?
For prompts with up to 272K input tokens, the standard pricing is $2 per million input tokens, $0.10 per million cached input tokens, $2.50 per million cache write tokens, and $10 per million output tokens.
Does GPT-6.1 Sol support local installation?
The source states that open weights are not confirmed. It does not establish whether local installation is possible or impossible. Evaluation should rely on the documented API endpoints.