Can you call gpt-6.1-sol with the OpenAI SDK you already use?

Yes. gpt-6.1-sol is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to gpt-6.1-sol . Keep your current request and response handling.

How does gpt-6.1-sol compare with gemini-3.8-flash, and what should you compare?

gpt-6.1-sol sits alongside gemini-3.8-flash , glm-5.3 , kimi-k3 in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

How are reasoning tokens billed on gpt-6.1-sol?

Reasoning tokens are billed as output on gpt-6.1-sol, at $10.00 per 1,000,000 token. They are generated before the visible answer and count toward both latency and spend, so a higher reasoning setting costs more even when the final answer is short.

What should you evaluate before moving production traffic to gpt-6.1-sol?

Before switching production traffic to gpt-6.1-sol, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

How does gpt-6.1-sol score on benchmarks?

Recorded results for gpt-6.1-sol: aa_intelligence_index 89.4. Benchmark positions are a coarse filter only — run your own prompts against the candidate models before you commit, because ranking shifts with task shape and prompt style.

Model detail

GPT-6.1 Sol

Provided by OpenAI

Pay-as-you-go Dynamic pricing 2 tiers

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Model specs

Model ID: gpt-6.1-sol

Context length: 1.05M
Max output: 128K
I/O modalities
Released: 2026-09

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Tiered pricing

Unit: /1M Tokens

Tier	Input /1M Tokens	Output /1M Tokens	Cache read /1M Tokens	Cache write /1M Tokens
standard Length ≤ 272K	$2.0000	$10.0000	$0.1000	$2.5000
long_context Length > 272K	$4.0000	$15.0000	$0.2000	$5.0000

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

GPT-6.1 Sol is an OpenAI reasoning model for complex coding, computer use

GPT-6.1 Sol is an OpenAI reasoning model for complex coding, computer use, and professional work, balancing capability and cost.

What should you check before using it?

1,050,000 context, 128,000 output tokens

gpt-6.1-sol supports reasoning, tool calling, structured output, streaming, prompt caching, vision input and the OpenAI SDK. Knowledge cutoff: 2026-04-30. Released 2026-09-29.

Why use it through MixRoute?

gpt-6.1-sol keeps its 1,050,000-token context on one route

The full 1,050,000-token context stays reachable on the same route. MixRoute serves gpt-6.1-sol on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-6.1-sol and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

gpt-6.1-sol supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

gpt-6.1-sol can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

gpt-6.1-sol supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

gpt-6.1-sol supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

Vision input

gpt-6.1-sol can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.

OpenAI SDK

Call gpt-6.1-sol through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 1.05M

Output tokens Max per request 128K

Requests / month

Cache hit rate 0%

Share of the same prefix read repeatedly, up to 100%

FAQ

gpt-6.1-sol is a reasoning model. Reasoning effort can be tuned per request. Lower effort settings cut reasoning tokens and cost for routine work; reserve higher settings for problems that need deeper search. Measure quality at two or three settings before fixing one in production.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

gpt-6.1-sol

Create an API key

New users get $5 in free credits

Test this model and alternate routes with the same request format

Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.

Create an API key View integration docs