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OpenAI - Closed weights

GPT-6.1 Sol pricing and specs

GPT-6.1 Sol is a closed-weights model from OpenAI that costs $2 per 1M input tokens and $10 per 1M output tokens on the first-party API, with a 1.05M-token context window.

Last verified from developers.openai.com. All sources

Input / 1M
$2
Output / 1M
$10
Context
1.05M tokens
Weights
Closed

Pricing per 1M tokens

ItemPrice / 1M tokens
InputPrompts up to 272,000 tokens$2
OutputPrompts up to 272,000 tokens$10
Cache readPrompts up to 272,000 tokens$0.10
Cache write (5 minutes)Prompts up to 272,000 tokens$2.50
Batch inputBatch requests, prompts up to 272,000 tokens$1
Batch outputBatch requests, prompts up to 272,000 tokens$5
Long-context inputPrompts over 272,000 tokens$4
Long-context outputPrompts over 272,000 tokens$15
Long-context cache readPrompts over 272,000 tokens$0.20
Long-context cache write (5 minutes)Prompts over 272,000 tokens$5
Long-context batch inputBatch requests, prompts over 272,000 tokens$2
Long-context batch outputBatch requests, prompts over 272,000 tokens$7.50
Fast mode inputFast mode requests$4
Fast mode outputFast mode requests$20

Note: Priced by prompt length: a request with more than 272K input tokens pays the long-context pricing rates for the whole request (short context is <=272K input tokens). Cached input is 5% of uncached input. OpenAI's cache write (1.25x uncached input) is recorded in cache write; OpenAI does not sell a separate 1-hour write. Batch and Flex are both 50% of Standard. Fast mode is 2x Standard. Ultrafast mode (Responses API, service_tier "ultrafast") is 6x Standard: $12 input / $0.60 cached / $15 cache write / $60 output short context, $24 / $1.20 / $30 / $90 long context. Chat Completions supported without tool calling. Maximum input tokens 922,000. Regional processing adds 10%.

Specs

Context window
1,050,000 tokens
Max output
128,000 tokens
Release date
Provider
OpenAI
API model id
gpt-6.1-sol
Vercel AI Gateway id
openai/gpt-6.1-sol
Weights
Closed weights

What GPT-6.1 Sol costs in practice

Worked from the standard list rates above, with the math shown so you can swap in your own token counts. These use the base rates, which apply while each request's prompt stays at or under 272,000 tokens; above that, GPT-6.1 Sol bills $4 input and $15 output for the whole request.

One agent session

1M input tokens and 100K output tokens, no caching.

  • Input1M x $2 = $2.00
  • Output0.1M x $10 = $1.00

$3.00per session

A chat app

10,000 requests a day at 2K input and 500 output tokens each.

  • Input20M x $2 = $40.00
  • Output5M x $10 = $50.00

$90.00per day

$2,700.00 per 30-day month

The same session at a 90% cache hit

90% of the input is read from the prompt cache. The one-time cache write premium is not included.

  • Cached input0.9M x $0.10 = $0.09
  • Uncached input0.1M x $2 = $0.20
  • Output0.1M x $10 = $1.00

$1.29per session

Compare with

ModelInput / 1MOutput / 1M
GPT-6.1 Sol (this page)$2$10
Claude Sonnet 5Anthropic$2$10
Claude Sonnet 5.5Anthropic$2$10
Command ACohere$2.50$10
Command R+ 08-2024Cohere$2.50$10
GPT-4oOpenAI$2.50$10
GPT-5OpenAI$1.25$10
GPT-5.1OpenAI$1.25$10
GPT-6 SolOpenAI$2$10
GPT-4.1OpenAI$2$8
GPT-5.6 TerraOpenAI$2$12

Compare

Side-by-side pages with both models' prices, specs, cost examples and like-for-like benchmark rows.

FAQ

How much does GPT-6.1 Sol cost per million tokens?

GPT-6.1 Sol costs $2 per 1M input tokens and $10 per 1M output tokens on OpenAI's first-party API, per developers.openai.com on October 17, 2026. Per 1M tokens, cache reads cost $0.10, and the batch rate is $1 input and $5 output. Prompts over 272,000 tokens are billed at $4 input and $15 output for the whole request.

What is GPT-6.1 Sol's context window?

GPT-6.1 Sol has a 1,050,000-token context window and returns up to 128,000 output tokens per response.

Are GPT-6.1 Sol's weights open?

No. GPT-6.1 Sol is a closed-weights model. You call it through OpenAI's API as gpt-6.1-sol or through Vercel AI Gateway as openai/gpt-6.1-sol.

When was GPT-6.1 Sol released?

OpenAI released GPT-6.1 Sol on September 29, 2026.

Sources

Last verified from developers.openai.com.

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