Context Window
OpenaifastTool use

Gpt Audio Mini 2025 10 06

128K context·~96K words·16K max output
View context detailsCompare with Amazon Titan Text Express
Context window128Ktokens
Max output16Ktokens

Context window

This model accepts 128K tokens in one request (~96K words of text).

Context window size128K tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • Small codebase
    About 150K words of text
    Won't fit
  • Full novel
    About 375K words of text
    Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window
128,000 tokens (128K)
Max output tokens
16,384 tokens (16K)
Speed tier
fast
Provider
Openai
Input cost
$0.600/M / 1M tokens
Output cost
$2.40/M / 1M tokens

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (3)
Tool use
Supported
Function calling
Supported
Streaming
Supported
Not supported (5)
Vision
Not supported
Extended thinking
Not supported
Web search
Not supported
Batch API
Not supported
Prompt caching
Not supported

Best for

Jump to a guide or ranking that matches each workload.

AI agentsLong documentsRAGChatbots

Compare Gpt Audio Mini 2025 10 06

Open a side-by-side comparison with one click.

Frequently asked questions

Short answers about context size and how this model behaves.

Gpt Audio Mini 2025 10 06 has a context window of 128K tokens (128,000 tokens). This covers most professional use cases including large code files, lengthy reports, and long conversation histories.

More from Openai

Other models by Openai in our catalog.

GPT-5.4
1.1Mbalanced
Gpt 5 4 2026 03 05
1.1Mbalanced
GPT-5.4 Mini
1.1Mfast
Gpt 5 4 Mini 2026 03 17
1.1Mfast
GPT-5.4 Nano
1.1Mfast
Gpt 5 4 Nano 2026 03 17
1.1Mfast

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savingsLearn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model