How much does the GPT-6.1 Sol Pro API cost?

On FastMetal, GPT-6.1 Sol Pro is billed per token in yen: ¥357.4 per 1M input tokens and ¥1,787 per 1M output tokens, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.

Can I call GPT-6.1 Sol Pro with the OpenAI SDK?

Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "gpt-6.1-sol-pro" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.

What is the context window of GPT-6.1 Sol Pro?

1,050,000 tokens, shared between the prompt and the response.

What do I need to try GPT-6.1 Sol Pro?

Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.

Back to Models

gpt-6.1-sol-pro

GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...

9/29/2026

1,050,000 tokens

Input: ¥357.4/M

Output: ¥1,787/M

Try in Chat Get API Key

Specifications

Modalities

Input

file

image

text

Output

text

Supported Parameters

include_reasoning

max_completion_tokens

max_tokens

reasoning

reasoning_effort

response_format

seed

structured_outputs

tool_choice

tools

Max Output Tokens

128,000

Reasoning Configuration

Default: Thinking on (effort: medium)
Selectable effort levels: max
xhigh
high
medium
low
Turning thinking off: Not possible (always thinks)

How to control thinking, and what it costs

Data policy

Prompt retention: Unknown — we could not confirm
Training: Not used for training

"Unknown" does not mean "safe". It means we could not confirm it.

Whether a provider trains on prompts is a declared value from our terms with them. Retention is determined from the upstream listing for every host this model can reach. Neither is guessed.

Code Examples

curl https://api.fastmetal.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-6.1-sol-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

How GPT-6.1 Sol Pro actually answers

Real responses to our standard prompts, recorded on FastMetal.

Count the number of 'r's in 'strawberry'

Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.

1. Spell out **strawberry**: s-t-r-a-w-b-e-r-r-y. 2. The letter **r** appears in positions **3, 8, and 9**. 3. Therefore, there are **3 r’s** in **strawberry**.

5.4s response203 output tokens

Debug This Error

I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…

The error means **`users` is `undefined` when `UserList` renders**, so React cannot call `users.map(...)`. This often happens because the parent didn’t pass the `users` prop, or because data hasn’t finished loading yet. ### Fix the component Give `users` a default empty array: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => ( <li key={user.id}>{user.name}</li> ))} </ul> ); } ``` This handles a missing or `undefined` prop. It does **not** handle `null` or other non-array values. If `users` can also be `null`, use: ```jsx function UserList({ users }) { return ( <ul> {(users ?? []).map(user => ( <li key={user…

9.8s response793 output tokens

Code Review

Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…

The function is straightforward, but it hides failures and retries situations that may not benefit from retrying. ### Suggested improvements - **Move imports to module scope** for readability and conventional organization. - **Use descriptive names** such as `response` and `attempt`. - **Avoid a bare `except`**: it catches everything, including `KeyboardInterrupt`. Catch specific request and JSON-decoding errors. - **Retry selectively**: network failures, HTTP 429, and some 5xx responses may be transient; most other 4xx responses are not. - **Use exponential backoff** and avoid sleeping after the final attempt. - **Validate the response shape** before accessing fields. - **Distinguish fail…

25.7s response1979 output tokens

Compare these answers side by side with other models →

Frequently asked questions

How much does the GPT-6.1 Sol Pro API cost?: On FastMetal, GPT-6.1 Sol Pro is billed per token in yen: ¥357.4 per 1M input tokens and ¥1,787 per 1M output tokens, before tax. Usage is drawn from a prepaid balance; there is no subscription or monthly fee.
Can I call GPT-6.1 Sol Pro with the OpenAI SDK?: Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "gpt-6.1-sol-pro" as the model; existing OpenAI-style code works unchanged, including streaming, tool calls and structured output.
What is the context window of GPT-6.1 Sol Pro?: 1,050,000 tokens, shared between the prompt and the response.
What do I need to try GPT-6.1 Sol Pro?: Create an account and add credit; the model is then available both in the browser chat and over the API. There is no contract or minimum spend.