GPT-6 Sol: Pricing, Context Window and Model Guide
Key facts · verified Nov 13, 2026
GPT-6 Sol is an OpenAI model released on 22 Sept 2026. Its API price is $2 per million input tokens and $10 per million output tokens. Its context window is 1,050,000 tokens. It ranks #68 on LMArena's text leaderboard (Elo 1457, read 14 Nov 2026). Source: developers.openai.com.
GPT-6 Sol (gpt-6-sol) is an OpenAI model released on September 22, 2026 alongside GPT-6 Luna; OpenAI describes it as built for complex coding and agentic workflows and priced 50% below GPT-5.6 Sol's promotional pricing. It takes text and image input and returns text, with a 1.05M-token context window and 128,000 maximum output tokens, and is listed at $2 per million input tokens and $10 per million output tokens. It is available in the API, and in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users. OpenAI's model page now points to GPT-6.1 Sol as the newer Sol model and lists GPT-6 Sol under "More models".
Token cost calculator
| Model | Input | Output | Cost for this many tokens |
|---|---|---|---|
| GPT-6 Sol | $0.20 | $0.20 | $0.40 |
List prices per 1M tokens from each model's record (GPT-6 Sol: $2 in / $10 out). Cached-input and batch discounts are not included. Click a figure to type it. Compare up to 8 models in the token cost calculator.
Key Features
What GPT-6 Sol is
OpenAI released GPT-6 Sol on September 22, 2026, alongside GPT-6 Luna, as the faster and cheaper companions to GPT-6 Astra. OpenAI says both were trained with methods similar to Astra's, and describes Sol as built for complex coding and agentic workflows. A week later it released GPT-6.1 Sol, which its documentation lists as the newer version.
Pricing
Standard rates per million tokens are $2 for input, $0.20 for cached input, $2.50 for cache writes and $10 for output. Batch and Flex are half that. Prompts longer than 272K input tokens are billed at twice the input and cache rates and one and a half times the output rate, for the whole request. OpenAI positioned the launch price as 50% below GPT-5.6 Sol's promotional pricing. GPT-6.1 Sol launched at the same $2 and $10.
Context, output and reasoning
The context window is 1,050,000 tokens and maximum output is 128,000. The knowledge cutoff is April 20, 2026. Reasoning effort runs from none, which turns reasoning off, through low, medium, high and xhigh to max, with medium as the default. The none setting is not available on Astra. Input is text and images, output is text.
Tools and where it runs
Sol supports OpenAI's full tool set: web search, file search, image generation, the code interpreter, a hosted shell, apply_patch, skills, computer use, MCP servers and tool search, on both Chat Completions and Responses. Beyond the API it is available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users.
GPT-6 Sol and GPT-6.1 Sol
The two share a price and a context window. OpenAI's documentation lists GPT-6.1 Sol as the newer version; each has its own model ID.
How it measures up
On LMArena's text board GPT-6 Sol has 1457 Elo (rank 68, max effort); in coding, 1521 Elo in Coding (rank 34, max effort). GPT-6 Astra has 1474 Elo (rank 42, max effort) on the same board, at five times Sol's price. Current figures with their confidence ranges are on our benchmarks page and update weekly.
Key Takeaways
- Released September 22, 2026 with GPT-6 Luna; OpenAI lists GPT-6.1 Sol as the newer version.
- $2 input, $0.20 cached, $2.50 cache write and $10 output per million tokens; Batch and Flex at half.
- Prompts over 272K input tokens cost 2x on input and cache and 1.5x on output for the whole request.
- 1,050,000-token context, 128,000 maximum output, April 20, 2026 knowledge cutoff; effort from none to max.
- GPT-6.1 Sol launched at the same $2 / $10 price.
Official Resources
Full Specifications
$2 / $10 per million tokens | |
|---|---|
| Identity | |
| Developer | OpenAI |
| Released | Sep 2026 |
| Status | GA |
| Licence | Proprietary |
| Self-hostable | No |
| Cost | |
| Blended $/1M tokensinput × 0.75 + output × 0.25 | $4.000 / 1M tokens |
| Input price | $2.000 / 1M tokens |
| Output price | $10.000 / 1M tokens |
| Cached input | $0.20 per 1M tokens |
| Batch discount | 50% (Batch and Flex) |
| Capacity | |
| Context window | 1,050,000 tokens |
| Max output | 128k tokens |
| Long-context surcharge | Prompts over 272K input tokens: 2x input and cache rates, 1.5x output |
| Capability | |
| Vision in | Yes |
| Audio in | No |
| Function calling | Yes |
| Structured output | Yes |
| Extended reasoning | Yes |
| Web search | Yes |
| Code execution | Yes |
| Access | |
| API | Yes |
| Chat app | Yes |
| Fine-tuning | No |
| Measured quality | |
| LMArena Elo | 1457 (checked Nov 2026) |
| LMArena rank | Rank 68 |
| GPQA Diamond | 94 · max effort |
| Elo per dollarLMArena Elo ÷ blended $/1M tokens | 364 |
| LMArena by task | |
| Coding | 1521 Elo (rank 34) |
| Math | 1440 Elo (rank 97) |
| Creative Writing | 1428 Elo (rank 77) |
| Instruction Following | 1449 Elo (rank 70) |
| Hard Prompts | 1483 Elo (rank 62) |
| Longer Query | 1466 Elo (rank 70) |
| Multi-Turn | 1468 Elo (rank 68) |
| Expert | 1496 Elo (rank 53) |