Near-Astra results
OpenAI says GPT-6.1 Sol nearly matches GPT-6 Astra on agentic coding, computer use and professional work.
GPT-6.1 Sol API: near-Astra results on coding and professional work, for less.
gpt-6.1-solfrom openai import OpenAIclient = OpenAI( base_url="https://api.zurelay.com/v1", api_key="YOUR_ZURELAY_KEY",)stream = client.chat.completions.create( model="gpt-6.1-sol", messages=[{"role": "user", "content": "Explain quicksort in two sentences."}], stream=True,)for chunk in stream: if chunk.choices: print(chunk.choices[0].delta.content or "", end="")Base URL https://api.zurelay.com/v1. Works with any OpenAI SDK.
Pricing
Pay as you go from prepaid credit, with no subscription and no minimum. Requests that fail are never billed.
| Rate | zurelay | OpenAI list | You save |
|---|---|---|---|
Input per 1M tokens | $0.50 | 75%off | |
Output per 1M tokens | $2.50 | 75%off | |
Cached input per 1M tokens | $0.025 | — | — |
One rate at every prompt length, up to the full 1.05M context window. Streaming, tool calls and structured outputs cost nothing extra.
Move the sliders to your monthly usage.
$1,800 a year
Overview
GPT-6.1 Sol is OpenAI's newest Sol model, released on September 29, 2026. OpenAI says it nearly matches GPT-6 Astra on agentic coding, computer use and professional work at one-fifth of Astra's list price per token. The GPT-6.1 Sol API on zurelay serves it through one OpenAI-compatible endpoint, below OpenAI's list price.
GPT-6.1 Sol is the upgrade to GPT-6 Sol that OpenAI released at DevDay on September 29, 2026, one week after GPT-6 Sol. OpenAI describes it as near-Astra performance at a lower cost for complex coding, computer use and professional work, and lists it next to GPT-6 Astra and GPT-6 Luna as the balanced choice in the GPT-6 family. The GPT-6.1 Sol API on zurelay uses the model ID gpt-6.1-sol on an OpenAI-compatible Chat Completions endpoint.
The limits match the rest of the family: text and image input, text output, a 1,050,000-token context window, up to 922,000 input tokens and up to 128,000 output tokens. The knowledge cutoff is April 30, 2026, ten days later than GPT-6 Sol's. Reasoning effort accepts low, medium (the default), high, xhigh and max. Unlike GPT-6 Sol, it does not accept none, so use low when you want the fastest answers.
OpenAI reports gains over GPT-6 Sol in programming, debugging, document understanding and multi-step workflows. By OpenAI's figures, the factual error rate at low reasoning effort fell from 11.4% to 7.7%. In OpenAI's system card, GPT-6.1 Sol scored 64.2 on HealthBench Professional, against 64.7 for GPT-6 Astra.
OpenAI's list price per token is the same as GPT-6 Sol's, and cached input is priced at 5% of the input rate, half of GPT-6 Sol's cached rate. That helps agents that resend long, stable prompts. OpenAI's own advice is to compare 6.1 Sol with Astra on your tasks and weigh quality against cost; for most GPT-6 coding and agent work, 6.1 Sol is the place to start.
Strengths
OpenAI says GPT-6.1 Sol nearly matches GPT-6 Astra on agentic coding, computer use and professional work.
OpenAI lists GPT-6.1 Sol at one-fifth of Astra's input and output price per token, and zurelay charges less than that list rate.
OpenAI reports that its factual error rate at low reasoning effort fell from 11.4% to 7.7% compared with GPT-6 Sol.
Cached input costs half of GPT-6 Sol's cached rate at list price, which lowers the bill for agents that resend long prompts.
Use cases
Multi-step code changes, debugging and refactors where you want close to Astra's quality at a lower price.
Read contracts, reports and specs in full inside a 1,050,000-token context and draft from them.
Multi-step workflows that move through several documents, checks and decisions.
Start new GPT-6 projects here, then move specific tasks up to Astra or down to Luna based on your own evals.
Get started
No waitlist and no new SDK. If your code already talks to OpenAI, it already talks to zurelay.
Sign up, add credit and create an API key. Set a monthly budget or a rate limit per key if you like.
Change the base URL. Everything else in your code stays the same.
https://api.zurelay.com/v1Send chat completions as usual. Streaming, tool calls and usage reporting work as you expect.
gpt-6.1-solWorks with the tools you already use
Compare
$2.50 / $12.50 per 1M tokens
Pick it when your tests show Astra's extra quality is worth five times the list price per token.
GPT-6 Astra API$0.50 / $2.50 per 1M tokens
Pick it if you need reasoning effort none or function calling on Chat Completions, or want behavior you have already tested.
GPT-6 Sol API$0.025 / $0.125 per 1M tokens
Pick it for focused, high-volume tasks like summaries and extraction, where a lower price per token matters most.
GPT-6 Luna APIFAQ
Anything else, write to sales@zurelay.com and an engineer will answer.
On zurelay, GPT-6.1 Sol costs $0.50 per 1M input tokens and $2.50 per 1M output tokens. OpenAI's list price is $2.00 input and $10.00 output, so you save 75%. Cached input tokens bill at $0.025 per 1M, and reasoning tokens count as output tokens.
zurelay serves gpt-6.1-sol at 75% below OpenAI's list price, with the same model ID and request format. Cached input at $0.025 per 1M lowers the cost further when your prompts share a long prefix. For simpler, high-volume tasks, GPT-6 Luna costs less per token.
Install the official openai package and create a client with base_url set to https://api.zurelay.com/v1 and your zurelay API key. Then send a Chat Completions request with model set to "gpt-6.1-sol". Set reasoning_effort to low, medium, high, xhigh or max, and leave out temperature, top_p and logprobs, which OpenAI does not accept while reasoning is on.
GPT-6.1 Sol has a 1,050,000-token context window. One request can include up to 922,000 input tokens, and the model can write up to 128,000 output tokens. Input can be text or images; output is text.
OpenAI built GPT-6.1 Sol for complex coding, computer use and professional work. It suits coding agents, document-heavy tasks and multi-step business workflows where you want results close to Astra's at a lower price.
OpenAI reports gains in programming, debugging, document understanding and multi-step workflows, and a lower factual error rate. The list price per token is unchanged, and cached input costs half as much. 6.1 Sol has a later knowledge cutoff, April 30, 2026, and no longer accepts the none reasoning effort.
OpenAI says GPT-6.1 Sol nearly matches Astra on agentic coding, computer use and professional work, at one-fifth of Astra's list price per token. Astra remains OpenAI's pick for its most demanding work. Run both on a sample of your real prompts and pay for Astra only where it wins.
Yes. Set stream: true to receive tokens as they are generated, and add stream_options.include_usage to get token counts in the final chunk. You can give each zurelay API key its own requests-per-minute limit and monthly budget in the dashboard. If an upstream call errors or times out, zurelay retries it on another route before returning an error.
Yes. Requests to gpt-6.1-sol run on OpenAI's GPT-6.1 Sol, and zurelay never swaps in a smaller or cheaper model. As with any call to OpenAI, two responses to the same prompt can differ because of sampling. zurelay is independent and is not affiliated with or endorsed by OpenAI.
Create a key in seconds, point the SDK you already use at zurelay, and every request costs up to 85% less from the first token.