GPT-6.1 Sol — Specifications
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Developer | OpenAI |
|---|---|
| Type | Reasoning / agentic |
| Modality | Text, vision |
| Parameters | Undisclosed |
| Context window | 1.05M |
| Max output | 128K |
| License | Proprietary |
| Open weights | No |
| Released | 2026-09 |
| Input price | $2.00 /1M |
| Output price | $10.00 /1M |
| API providers | OpenAI API, Microsoft Azure, AWS Bedrock |
Benchmarks
| OpenAI-reported | DeepSWE v1.1 matches GPT-6 Astra (6.4 pts above GPT-6 Sol's best score); AutomationBench (medium effort) +2.2 pts vs Claude Opus 5.5; Terminal-Bench Science 0.1 $5.47/task at max effort |
|---|
What is GPT-6.1 Sol?
GPT-6.1 Sol is OpenAI’s upgrade to GPT-6 Sol, launched at DevDay on 29 September 2026. According to OpenAI, it nearly matches GPT-6 Astra on agentic coding, computer use and professional work at one-fifth of Astra’s token prices, matches Astra on DeepSWE v1.1, and cuts the share of answers with a factual error from 11.4% to 7.7% versus GPT-6 Sol at low effort on hard prompts.
API pricing is $2 per million input tokens and $10 output, with cached input at $0.10, half the $0.20 that GPT-6 Sol charges for cached input at the same input and output prices. Prompts above 272K input tokens are billed at 2x the input and cache rates and 1.5x the output rate for the full request, which works out to $4 input and $15 output per million tokens. OpenAI’s developer documentation lists a 1,050,000-token context window, up to 922,000 input tokens, up to 128,000 output tokens, text and image input, a knowledge cutoff of 30 April 2026 and reasoning effort settings from low to max.
At launch OpenAI made it available to Plus, Pro, Business, Enterprise and Edu users in ChatGPT Work and Codex, but not in Chat. Developers call it as gpt-6.1-sol in the OpenAI API, and Microsoft Foundry and Amazon Bedrock also list it. OpenAI’s model page also lists Google Cloud, where access is in private preview and has to be requested. OpenAI says GPT-6 Astra ($10 / $50) should still be used for the most difficult scientific research tasks, while GPT-6 Luna ($0.10 / $0.50) is its most efficient model for high-volume work. For visual reasoning and computer use at half Sol’s standard prices, see GPT-6.1 Terra ($1 / $5).
Verify these figures at the source
Prices, limits and dates checked on OpenAI’s own pages in November 2026.
GPT-6.1 Sol pricing: API cost per 1M tokens
| Input (per 1M tokens) | $2.00 |
|---|---|
| Output (per 1M tokens) | $10.00 |
| Output/input ratio | 5× |
| Blended (4:1 in:out) | $3.60 per 1M tokens |
What GPT-6.1 Sol costs per month
Real monthly spend at a 4:1 input-to-output mix — the ratio a typical chat or RAG workload actually produces.
| Workload | Tokens / month | Cost / month |
|---|---|---|
| Side project | 1M in / 0.25M out | $4.50 |
| Small team | 20M in / 5M out | $90 |
| Production | 200M in / 50M out | $900 |
Run your own numbers in the AI API cost calculator.
Cheaper alternatives to GPT-6.1 Sol
| Model | Blended $/1M | You save |
|---|---|---|
| GPT-6.1 Terra | $1.80 | 50% cheaper |
| GPT-6 Luna | $0.180 | 95% cheaper |
| Llama 3.1 8B open | $0.0240 | 99% cheaper |
Frequently asked questions
How much does GPT-6.1 Sol cost per 1M tokens?
GPT-6.1 Sol costs $2.00 per 1M input tokens and $10.00 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $3.60 per 1M tokens.
How much does GPT-6.1 Sol cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $90 on GPT-6.1 Sol. A side project (1M in / 0.25M out) costs roughly $4.50.
What is a cheaper alternative to GPT-6.1 Sol?
GPT-6.1 Terra is the closest-priced cheaper OpenAI model in our database at $1.80 per 1M blended — about 50% less than GPT-6.1 Sol.
Can I run GPT-6.1 Sol locally?
No. GPT-6.1 Sol is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does GPT-6.1 Sol charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. GPT-6.1 Sol charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Prices are the published list rates for the model's primary API and are reviewed as providers change them. Volume, batch and cached-input discounts are not included. Compare every model side by side in the AI models database or the LLM leaderboard.