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gpt-5-mini:flex

GPT-5 mini is a faster, more cost-efficient version of GPT-5. It's great for well-defined tasks and precise prompts.

👁Vision🧠Reasoning🔧Tool calling⚡Caching
Try gpt-5-mini:flexCompareDocs

Specifications

Context window400K tokens
Max output128K tokens
API typechat
AddedAug 7, 2025
Model IDopenai/gpt-5-mini:flex
Data retentionYes (30 days)
Used for trainingNo
Provider location🇺🇸 US
Privacy policyOpenAI Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the OpenAI Inc. models overview.

Pricing

Input / 1M
$0.13
Output / 1M
$1.00
Cache write / 1M
$0.13
Cache read / 1M
$0.01
Estimated cost
100K input + 10K output$0.0225
1M input + 100K output$0.22
10M input + 1M output$2.25

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to openai/gpt-5-mini:flex.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="openai/gpt-5-mini:flex",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other OpenAI Inc. models

gpt-5.5
1.1M ctx$5.00/1M
gpt-5.5-pro
1.1M ctx$30.00/1M
gpt-5.4-nano
400K ctx$0.20/1M
gpt-5.3-chat
128K ctx$1.75/1M
gpt-5.4-mini
400K ctx$0.75/1M
gpt-5.4-pro
1.1M ctx$30.00/1M

Frequently asked questions

How much does gpt-5-mini:flex cost?
gpt-5-mini:flex is priced at $0.13 per million input tokens and $1.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of gpt-5-mini:flex?
gpt-5-mini:flex has a context window of 400K tokens, with a maximum output of 128K tokens per response. That's roughly 533 words of input you can fit in a single prompt.
What can gpt-5-mini:flex do?
gpt-5-mini:flex supports vision input, tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gpt-5-mini:flex with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "openai/gpt-5-mini:flex". The Quickstart above shows Python, JavaScript and cURL snippets.

Access gpt-5-mini:flex through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

Get started freeAll OpenAI Inc. models