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Chat & code OpenAI · 2026-09

GPT-6.1 Sol API

OpenAI's GPT-6.1 for hard coding and professional work - close to Astra level

Input$2.70per 1M tokens
Output$13.50per 1M tokens
Cached input$0.135per 1M tokens

1,000 chatbot replies$9.451,500 input + 400 output tokens each

Prompt caching works through the API: repeated context is billed at the cached rate. Failed requests cost nothing.

Compare with other chat models →

GPT-6.1 Sol is the GPT-6.1 model OpenAI positions just below GPT-6 Astra, for complex coding and professional work. It takes text and images, has a 1,050,000-token context window (up to 922,000 input tokens) and returns up to 128,000 tokens. You set the reasoning depth with reasoning_effort (default medium) and can force a JSON schema with response_format.

max_completion_tokens is enforced and includes reasoning tokens - with a very low cap you may get only reasoning and no visible answer.

Best for

  • Large code changes and pull request reviews
  • Long-context analysis of documents, contracts and reports
  • Strict JSON output for automation
  • Image tasks: screenshots, diagrams, charts

How to call it

OpenAI SDK with a different base URL:

python
from openai import OpenAI

client = OpenAI(base_url="https://jantaris.com/v1", api_key="sk-jt-...")
resp = client.chat.completions.create(
    model="gpt-6.1-sol",
    reasoning_effort="medium",
    messages=[{"role": "user", "content": "Find the bug in this function and propose a fix."}],
)
print(resp.choices[0].message.content)

FAQ

What is the GPT-6.1 Sol API price?

$2.70 / $13.50 per 1M tokens. Prompts over 272K uncached input tokens are billed at the higher long-context rate for the whole request.

How is it different from GPT-6 Sol?

It is the newer series. Jantaris has GPT-6 Sol and GPT-6 Astra side by side - run the same task on both and compare the output and cost in your dashboard.

Does it accept images?

Yes, as image_url parts in a message.

How to call GPT-6.1 Sol via API

from openai import OpenAI

client = OpenAI(base_url="https://jantaris.com/v1", api_key="sk-jt-...")
resp = client.chat.completions.create(
    model="gpt-6.1-sol",
    messages=[{"role": "user", "content": "Write a haiku about Baltic amber."}],
)
print(resp.choices[0].message.content)