CrossModel
GPT-4o Mini
openai/gpt-4o-mini
Back to model catalog

OpenAI · Model guide

GPT-4o Mini

Compare
openai/gpt-4o-mini

A fast small model for focused work. It accepts text and images, produces text and structured outputs, and is a practical choice for fine-tuning or distilling larger-model behavior into a compact deployment.

Modalities
TextImageText
Context
128K
Max output
16K
Price / 1M tokens
$ 0.15in$ 0.60out
StreamingTool callingJSON outputImage inputThinking mode

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorA fast, affordable small model for focused tasks, fine-tuning and distillation.source

Best for

  • High-volume focused tasks · Low token prices and fast responses suit classification, extraction and tagging.(vendor claim)source

  • Translation and text transformation · OpenAI presents translation among its focused-task examples.(vendor claim)source

Neighbouring models
Compare them side by side →

Pricing and billing

Billed per token. Cached input is charged at the cache-read rate.

Price / 1M tokensYou pay
Input$ 0.15
Output$ 0.60
Cache read$ 0.075
Cache write$ 0.15
Estimate a request
$ 0.0027
Estimated cost per request
10.0K × $ 0.15
+ 2.0K × $ 0.60
≈ $ 2.70 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window
128.0K tokens
Max output
16.4K tokens
Input / output modalities
Text + Image → Text
Streaming
Supported
Tool calling
Supported
Structured output (JSON)
Supported
Image input
Supported
Thinking mode
Not supported
Available endpoints
/v1/chat/completions · /v1/responses · /v1/messages
First-party sources:Specsdevelopers.openai.comCapabilitiesdevelopers.openai.com

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Coding
  • HumanEval
    pass_at_1·OpenAI · 2024-07-18setup not fully disclosed
    87.2%
Math reasoning
  • MGSM
    accuracy·OpenAI · 2024-07-18setup not fully disclosed
    87%
Reasoning
  • MMLU
    accuracy·OpenAI · 2024-07-18setup not fully disclosed
    82%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

Claude Code
Anthropic's official command-line coding assistant
Cursor
AI-first code editor
Cline
Open-source AI coding agent for VS Code
Codex
OpenAI's coding agent for ChatGPT desktop and the terminal
OpenCode
Open-source terminal coding assistant
Zed
High-performance, AI-native code editor
Open WebUI
Open-source, self-hosted AI chat interface
Continue
Open-source AI coding assistant for VS Code & JetBrains
See all integration guides →

Frequently asked questions

What is GPT-4o Mini?
GPT-4o Mini is available on CrossModel as openai/gpt-4o-mini. It has a 128K-token context window and can return up to 16K tokens per request.
How much does GPT-4o Mini cost?
Currently $ 0.15 per 1M input tokens and $ 0.60 per 1M output tokens. Cached input is billed at $ 0.075 per 1M.
Does GPT-4o Mini support tool calling and structured output?
Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Not supported
Which endpoint do I call?
OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.
Can I try it without writing code?
Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Chat first, integrate later

Chat first, then wire it in once you like the answers.