GPT-6 Astra
- Input / 1M tokens
- $10.00
- Output / 1M tokens
- $50.00
- Providers
- 3
- Uptime, 24 h
- 100%
API models · Side by side
GPT-6 Astra vs GPT-6.1 Sol
GPT-6 Astra and GPT-6.1 Sol have the same context and output allowances in this comparison, but very different token prices. Astra’s base rates are five times higher. Choose around the work you need completed, rather than the size of the model tier.
GPT-6.1 Sol
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $10.00
- Providers
- 3
- Uptime, 24 h
- 100%
The short answer
Use Sol as the lower-cost starting point when both models meet your integration requirements. Evaluate Astra on the difficult work where fewer corrections or a better finished result could justify its price. The shared limits do not show whether either model will do your task better.
Estimate your monthly bill
Enter your own usage. We apply each model's current rates, including long-prompt pricing, for a 30-day month.
Try:
GPT-6 Astra$1,350.00per month
GPT-6.1 Sol$270.00per month
A token is roughly three-quarters of an English word. Cached input, reasoning tokens, tools and media are not included.
Compare the details
Compare context, supported inputs and usage costs. Highlighted rows show a difference.
| Feature | GPT-6 Astra | GPT-6.1 Sol |
|---|---|---|
| Input formats | file, image, text | file, image, text |
| Output formats | text | text |
| Context / position limit | 1,050,000 | 1,050,000 |
| Endpoint output limit (tokens) | 128,000 | 128,000 |
| Developer features | Reasoning output, Completion limit, Output limit, Reasoning controls, Thinking effort, Response format, Seed, Structured output, Tool selection, Tool calling, Response length | Reasoning output, Completion limit, Output limit, Reasoning controls, Thinking effort, Response format, Seed, Structured output, Tool selection, Tool calling, Response length |
| Cached input / 1M tokens | $1.00 | $0.10 |
| Cache write / 1M tokens | $12.50 | $2.50 |
| USD input / 1M tokens | $10.00 | $2.00 |
| USD output / 1M tokens | $50.00 | $10.00 |
| Available API providers | 3 | 3 |
| Best provider uptime, last 24 h | 100% | 100% |
| Model identifier | openai/gpt-6-astra | openai/gpt-6.1-sol |
API pricing
Prices are in USD per million tokens. Input is what you send; output is what the model generates. Chat subscriptions and API usage are billed separately.
GPT-6 Astra: long-prompt rates
- Long-prompt threshold: 272,000 prompt tokens. Input: $20.00 / 1M. Output: $75.00 / 1M.
GPT-6.1 Sol: long-prompt rates
- Long-prompt threshold: 272,000 prompt tokens. Input: $4.00 / 1M. Output: $15.00 / 1M.
Tools, images and additional reasoning can add charges. The examples below cover input and output tokens only.
Compare local modelsWhat those prices mean in practice
Each example uses the same token budget for both models. These are calculations, not measured workloads. Cache discounts, media, tools and extra reasoning are excluded.
| Workload | GPT-6 Astra | GPT-6.1 Sol |
|---|---|---|
| 1,000 short requestsPer request: 2,000 input + 500 output tokens | $45.00 | $9.00 |
| 100 document summariesPer request: 20,000 input + 1,000 output tokens | $25.00 | $5.00 |
| 10 long-document requestsPer request: 300,000 input + 2,000 output tokens | $61.50 | $12.30 |
Estimate = requests × (input tokens × input price + output tokens × output price) ÷ 1,000,000. Long-prompt rates are applied where the pricing data provides them. Real requests can use different amounts of output.
Beyond the price tag
Five times the rate needs a reason
For an identical budget of 2,000 input and 500 output tokens across 1,000 requests, Sol costs $9 and Astra costs $45. At a fixed token budget, that is a substantial difference for a feature used all day. Before adopting Astra for every request, identify the task where its result is worth the extra spending rather than assuming the higher tier should be the default.
Capacity does not separate these two
Both allow 1,050,000 context tokens and up to 128,000 output tokens for these endpoints. Both take text, images and files and return text. If your only requirement is to fit a document within those limits, Astra’s higher price does not buy more room here. You still need to assess how reliably each model uses the supplied material.
Long prompts remain more expensive on Astra
Both have a long-prompt threshold of 272,000 input tokens. Above that threshold, Sol’s rates are $4 input and $15 output per million tokens, while Astra’s are $20 and $75. The five-times rate difference remains. Sending a full repository on every turn can therefore make the model choice more consequential than a short-request example suggests.
Use a clear escalation rule
One approach is to send routine requests to Sol and try Astra only when a task fails an external check or needs a second review. A code build, a required schema or a human reviewer can provide that signal. Avoid allowing an agent to retry indefinitely: define a maximum budget and preserve enough detail to understand why a task needed escalation.
A model change still needs an application check
A shared publisher and matching input formats do not guarantee identical behaviour. Compare tool arguments, structured responses and output length using prompts your application already handles. Save a baseline from the current model before changing the configuration. If Sol already completes the work acceptably, keep it until Astra demonstrates a useful advantage on the cases that actually cause trouble.
Common questions
Is Astra five times faster or better?
The price ratio says nothing about speed or answer quality. This page compares costs and supported features, not independent performance measurements.
Will a ChatGPT subscription cover these requests?
No. These are API usage prices. A subscription to the ChatGPT application is a separate product and does not pay an application’s API bill.