What is the rate limit for gpt-5-mini-2025-08-07?

gpt-5-mini-2025-08-07 rate limits vary by your MixRoute subscription plan. Check your plan details in the console for requests per minute (RPM) and tokens per minute (TPM) limits. Run a small load test before production to confirm your effective quota.

Can you call GPT-5 Mini with the OpenAI SDK you already use?

Yes. GPT-5 Mini is served through an OpenAI-compatible endpoint. You can continue using your existing OpenAI SDK by changing the base URL and model ID.

How does gpt-5-mini-2025-08-07 compare with other models, and what should you compare?

Compare gpt-5-mini-2025-08-07 against models of similar capability and pricing on your actual workload. Evaluate latency, output quality, instruction following, and cost per task. Run side-by-side tests with your own prompts — the best model depends on your specific use case, not just benchmark scores.

When was GPT-5 Mini released, and is it still maintained?

GPT-5 Mini was released on 2025-08-07. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

How should you set the output budget for gpt-5-mini-2025-08-07?

For gpt-5-mini-2025-08-07, set the max_tokens or max_completion_tokens parameter to control spending per call. Start with a budget aligned to your typical response length and increase only when longer outputs are genuinely needed. Monitor token usage in the API response headers to tune your budget over time.

How do you get a cache hit on gpt-5-mini-2025-08-07?

To get a cache hit on gpt-5-mini-2025-08-07, send requests with identical prompt prefixes. The cache is keyed by the beginning of your prompt; as long as the prefix matches a previous request, subsequent calls benefit from the lower cached rate. Keep system messages and initial context consistent across calls for best results.

Model detail

GPT-5 Mini 20250807

Provided by OpenAI

Pay-as-you-go

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost. GPT-5 Mini is the successor to OpenAI's o4-mini model.

Model specs

Model ID: gpt-5-mini-2025-08-07

Context length: 400K
Max output: 128K
I/O modalities
Released: 2025-08

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$0.2500 /1M Tokens

Completion

$2.0000 /1M Tokens

Cache read

$0.0250 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Cost-efficient reasoning for everyday tasks

Use GPT-5 Mini for lighter-weight reasoning tasks where you need GPT-5's instruction-following quality at reduced latency and cost. It is the successor to o4-mini, offering improved safety tuning.

What should you check before using it?

Confirm reasoning depth meets your task needs

GPT-5 Mini trades some reasoning depth for speed and cost. Test your specific tasks to confirm the accuracy meets your requirements compared to the full GPT-5 model. Knowledge cutoff: 2024-05-31.

Why use it through MixRoute?

Swap the base URL, keep the GPT-5 Mini client

MixRoute serves GPT-5 Mini on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-5-mini-2025-08-07 and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GPT-5 Mini supports function and tool calls.

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

Structured output

GPT-5 Mini can produce JSON-formatted output on demand.

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

Streaming

GPT-5 Mini supports streamed responses.

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

Prompt caching

GPT-5 Mini 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-5 Mini 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-5 Mini 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 400K

Output tokens Max per request 128K

Requests / month

Cache hit rate 0%

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

FAQ

GPT-5 Mini is a compact version of GPT-5 designed for lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5 with reduced latency and cost. It is the successor to OpenAI’s o4-mini model.

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-5-mini-2025-08-07

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