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GPT-6 Sol vs GPT-6.1 Sol: API price, context & features · api14

OpenAI: GPT-6 Sol vs OpenAI: GPT-6.1 Sol

A side-by-side comparison of OpenAI: GPT-6 Sol ($7.00 / 1M tokens) and OpenAI: GPT-6.1 Sol ($7.00 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	OpenAI: GPT-6 Sol	OpenAI: GPT-6.1 Sol
Provider	OpenAI	OpenAI
Input	$7.00 / 1M tokens	$7.00 / 1M tokens
Output	$35.00 / 1M tokens	$35.00 / 1M tokens
Cache read	$0.70 / 1M tokens	$0.35 / 1M tokens
Cache write	$8.75 / 1M tokens	$8.75 / 1M tokens
Web search	$35.00 / 1K searches	$35.00 / 1K searches
Context window	1,050,000	1,050,000
Max output	128,000	128,000
Input	file, image, text	file, image, text
Output	text	text
Tool calling
Structured output
Reasoning control
Added	Sep 22, 2026	Sep 29, 2026

Key differences

Both have about the same input price.
A request with 1,000 input and 500 output tokens costs $0.02 with OpenAI: GPT-6 Sol and $0.02 with OpenAI: GPT-6.1 Sol.

In depth

Both models come from OpenAI and both are text models sold through api14. GPT-6 Sol is the earlier of the two, released on 2026-09-22, while GPT-6.1 Sol followed a week later on 2026-09-29. The naming suggests an incremental revision rather than a different product line, and the two sit in the same category, so the choice between them is a choice between two closely related siblings rather than between two unrelated families.

On the specifications that matter for planning, the two are effectively identical. Both accept file, image and text as input and both return text only, so neither gives you audio or video output. Both expose a context window of 1,050,000 tokens, which is large enough to hold very long documents, whole repositories of source files or extended conversation histories in a single call. Both support the same parameter set: reasoning and reasoning_effort, include_reasoning, verbosity, tools and tool_choice, structured_outputs and response_format, seed, max_tokens and max_completion_tokens. There is no capability that one offers and the other withholds, and neither has a larger context window than the other. On price, the two are about the same for input and about the same for output, so cost is not a deciding factor either.

Because the specs line up so closely, the practical guidance is mostly about versioning discipline rather than about matching a model to a workload. If you are starting something new, GPT-6.1 Sol is the later release and is the natural default, since it is the revision OpenAI shipped after the first one. If you already have a working integration against GPT-6 Sol, there is no specification-level reason to migrate: the context window, modalities and parameters are the same, and the price is about the same, so a move only makes sense if you want to track the newer revision. For long-document analysis, image plus text input, tool calling, structured JSON output and reasoning-heavy work, either model fits, because both list the same support for those features. Where you need a stable, pinned behaviour that you have already evaluated, staying on GPT-6 Sol is a reasonable choice, and where you want the current revision, use GPT-6.1 Sol.

Calling either one through api14 works the same way, because the gateway exposes an OpenAI-compatible API. You point your client at the api14 base URL, send your request to the chat completions endpoint with your api14 key, and set the model field. The only thing that changes between the two is that string: use openai/gpt-6-sol for GPT-6 Sol and openai/gpt-6.1-sol for GPT-6.1 Sol. Your messages array, your tools, your response_format and your reasoning settings carry over unchanged, so switching is a one-line edit and you can compare outputs on the same prompt without rewriting any other part of your code.

There is one case where the older model remains the better pick, and it follows from the facts rather than from any quality claim. If you have already validated prompts, tool schemas or structured output shapes against GPT-6 Sol and you depend on that exact behaviour, keeping openai/gpt-6-sol avoids re-testing against a revision you have not evaluated. Since the two are about the same price and share the same context window and modalities, that decision costs you nothing in capability terms.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "openai/gpt-6-sol" to "openai/gpt-6.1-sol" and prompts, streaming and tools keep working.

OpenAI: GPT-6 Sol details & playground →OpenAI: GPT-6.1 Sol details & playground →

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api14.com/api/v1",
  apiKey: process.env.API14_API_KEY,
});

const result = await client.chat.completions.create({
  "model": "openai/gpt-6.1-sol",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

OpenAI: GPT-6 Sol vs OpenAI: GPT-6.1 Sol

Specifications

Key differences

In depth

Switch with one string

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