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gpt-6-sol-pro

GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

9/22/2026
1,050,000 tokens
Input: ¥357.4/M
Output: ¥1,787/M

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
none
Turning thinking off
Possible (reasoning.enabled: false)

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-sol-pro",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

How GPT-6 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.

“Strawberry” is spelled **s-t-r-a-w-b-e-r-r-y**. There’s one **r** near the beginning and two together near the end, for a total of **3 r’s**.
4.7s response195 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…

`users` is `undefined` when `UserList` renders, so calling `users.map(...)` throws the error. This often happens when the parent hasn’t passed `users` yet, such as while data is loading. Give the component an empty-array default: ```jsx function UserList({ users = [] }) { return ( <ul> {users.map(user => <li key={user.id}>{user.name}</li>)} </ul> ); } ``` Also check the parent component: make sure it passes `users` and, if it loads them asynchronously, initializes the value to `[]`. If the value could be `null` as well as `undefined`, use `(users ?? []).map(...)` instead.
4.8s response433 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 main improvements are to catch specific exceptions, avoid sleeping after the final attempt, and distinguish retryable responses from client errors. The imports and result construction can also be simplified. ```python import time import requests def get_data(url: str, retries: int = 3) -> list[dict]: """Return the names and IDs of active items, or [] if the request fails.""" if retries < 1: raise ValueError("retries must be at least 1") for attempt in range(retries): try: response = requests.get(url, timeout=10) if response.status_code == 200: return [ {"name": item["name"], "id": item["id"]}…
16.6s response1889 output tokens

Compare these answers side by side with other models →

Frequently asked questions

How much does the GPT-6 Sol Pro API cost?
On FastMetal, GPT-6 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 Sol Pro with the OpenAI SDK?
Yes. Point base_url at https://api.fastmetal.ai/v1 and pass "gpt-6-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 Sol Pro?
1,050,000 tokens, shared between the prompt and the response.
What do I need to try GPT-6 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.

Try GPT-6 Sol Pro right now

GPT-6 Sol Pro is available on FastMetal through one API key. Start in the browser, or call it from the OpenAI SDK.