Checked Oct 17, 2026
OpenAI
GPT-6.1 Sol
Best for: Near-flagship coding and business agents at a fifth of the flagship price.
- LMArena text #22 of 416
- Reasoning
- Reads text, images
- Input
- $2
- per 1M tokens
- Output
- $10
- per 1M tokens
- Cached input
- $0.10
- per 1M tokens
- Context window
- 1.05M
- tokens in one request
- Max output
- 125K
- tokens per reply
- Released
- Sep 29, 2026
- Knowledge cutoff
- Apr 2026
- Weights
- Closed
- API and apps only
Mid-tier GPT-6.1 Sol, described as near-Astra performance at lower cost. Price shown is for prompts up to 272K tokens; longer prompts are billed at $4 input / $0.20 cached / $15 output per 1M.
What would GPT-6.1 Sol cost you?
Change the numbers; the chart compares all 10 featured models at the same usage.
What it's good at
From OpenAI's own announcements and docs, linked.
- OpenAI says it nearly matches GPT-6 Astra on agentic coding, computer use and professional work at one-fifth of Astra's token prices. source
- On OSWorld 2.0 it comes within 2.1 points of Astra at maximum effort, at about one-seventh of the cost per task (OpenAI's figures). source
- An Ultrafast service tier is available in the Responses API, with US and EU data residency. source
Watch out for
Limits and costs worth knowing before you build on it.
- Prompts over 272K tokens are billed at 2× the input price and 1.5× the output price on the whole request.
- OpenAI still recommends GPT-6 Astra for the hardest scientific-research tasks.
- Tool calling needs the Responses API; no fine-tuning, and no 'none' or 'minimal' reasoning effort.
- Fast mode costs 2× and Ultrafast 6× the standard price.
Scores
Benchmark numbers are as published by OpenAI; we haven't rerun them. Makers use different setups, so don't compare one maker's numbers with another's. The leaderboard rank comes from public blind votes.
| Measure | Result | Source |
|---|---|---|
| LMArena text rank | #22 (1484) | Oct 15, 2026 |
| Answers with a factual error (hard prompts, low effort; lower is better) | 7.7% | OpenAI |
How to start
Try it in the app
The quickest way to see if it suits your work. Open OpenAI's app.
Get an API key
Sign up on OpenAI's developer platform and add billing; you pay per token as shown above. Read the docs.
Call the model
Use this model ID in your OpenAI API requests:
gpt-6.1-sol
Host the app you build with it
GPT-6.1 Sol runs on OpenAI's servers, but your bot, agent or n8n workflow needs a home. A small VPS is usually enough, since the heavy work happens at OpenAI.
| Provider | From | Starting plan | Free tier | Our rating | Link |
|---|---|---|---|---|---|
| HostingerChecked | $2.99/mo | Premium (web hosting)20 GB SSD | No (30-day money-back guarantee) | Not rated | VisitOfficial site |
| DigitalOceanChecked | $4/mo | Basic Droplet 512 MiB1 vCPU · 0.5 GB RAM · 10 GiB SSD | Occasional promo credit for new users | Not rated | VisitOfficial site |
| VultrChecked | $2.50/mo | Cloud Compute Regular Performance, IPv6-only 0.5 GB1 vCPU · 0.5 GB RAM · 10 GB SSD | No free tier | Not rated | VisitOfficial site |
| Hetzner CloudChecked | $6.49/mo | CX23 (Cost-Optimized, Intel/AMD)2 vCPU · 4 GB RAM · 40 GB NVMe | No | Not rated | VisitOfficial site |
Compare with the other 9
| Model | Input / 1M | Output / 1M | Context | Arena |
|---|---|---|---|---|
| gpt-oss-120bOpenAI | $0.15 | $0.60 | 128K | #215 |
| Gemini 3.8 FlashGoogle | $0.75 | $3.75 | 1M | #9 |
| DeepSeek V4 ProDeepSeek | $1.32 | $3.96 | 1M | #56 |
| Grok 4.7xAI | $2 | $6 | 500K | #89 |
| Gemini 4 ArgonGoogle | $2 | $10 | 1M | #1 |
| GPT-6.1 SolOpenAI | $2 | $10 | 1.05M | #22 |
| Claude Sonnet 5.5Anthropic | $2 | $10 | 1M | #36 |
| Claude Opus 5.5Anthropic | $4 | $20 | 1M | #3 |
| Claude Fable 5.1Anthropic | $10 | $50 | 1M | #6 |
| GPT-6 AstraOpenAI | $10 | $50 | 1.05M | #30 |
Cheapest first, using 3 input tokens per output token.
Questions
How much does GPT-6.1 Sol cost?
GPT-6.1 Sol costs $2 per million input tokens and $10 per million output tokens at standard API rates, and $0.10 per million cached input tokens (US dollars, checked Oct 17, 2026). It is the 6th cheapest of the 10 models we feature.
How big is GPT-6.1 Sol's context window?
1,050,000 tokens for the prompt, documents and conversation in one request. A single reply can be up to 128,000 tokens. How many words that holds depends on the model's tokenizer.
Is GPT-6.1 Sol open source?
No. OpenAI hasn't published its weights, so you use it through the OpenAI API or apps rather than on your own hardware.
When was GPT-6.1 Sol released?
OpenAI released it in Sep 29, 2026.
What is GPT-6.1 Sol's knowledge cutoff?
OpenAI gives its training-data cutoff as Apr 2026. For later events it needs web search or documents you provide.
Sources
- OpenAI pricing, checked Oct 17, 2026
- developers.openai.com/api/docs/models/gpt-6.1-sol
- developers.openai.com/api/docs/changelog
- openai.com/index/introducing-gpt-6-1-sol
- help.openai.com/en/articles/6825453-chatgpt-release-notes
Facts checked Oct 17, 2026. Model names belong to their makers; AskGPU isn't affiliated with OpenAI. Spotted something out of date? Tell us at hello@askgpu.com.