Enterprise DNAEnterprise DNA
LModelsBest cheap
OpenAI logo

GPT-4o-mini

by OpenAI

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their most advanced small model, it is m

G

Models

GPT-4o-mini

Added 10 July 2026

#openai

Overview

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

Best for

Best for
Cost-efficient product features and multimodal volume

Use cases

  • chat UIs
  • vision QA
  • extraction
  • light coding agents

How to use / API access

Call via OpenRouter with model id `openai/gpt-4o-mini`.

  • openrouter · openai/gpt-4o-mini Docs

OpenRouter id: openai/gpt-4o-mini

Benchmarks

  • Intelligence Index (artificial-analysis): 6.7 index
  • Coding Index (artificial-analysis): 11.4 index

Enterprise DNA angle

Many EDNA product surfaces start on 4o-mini; Omni keeps fallbacks and evals consistent.

Notes

GPT-4o-mini is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

  • Low cost multimodal workhorse
  • Huge ecosystem and SDK familiarity
  • Solid for product features at scale

Cons

  • Not the top pick for hardest reasoning
  • Closed weights
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much GPT-4o-mini is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
217B ▲2.5%
Requests, last 7 days
92.5M
Tool calls, last 7 days
3.4M
Intelligence score
6.7
Average cost per request
3.8¢
Price per million tokens
$0.15 in · $0.6 out
025B50B19 Sept: 29B tokens, 11.1M requests20 Sept: 25.9B tokens, 10.7M requests21 Sept: 37.2B tokens, 15.2M requests22 Sept: 36.7B tokens, 15.8M requests23 Sept: 38.2B tokens, 14.8M requests24 Sept: 35.9B tokens, 15.4M requests25 Sept: 34B tokens, 13.6M requests26 Sept: 35.5B tokens, 10.6M requests27 Sept: 23.1B tokens, 9.8M requests28 Sept: 31B tokens, 12.7M requests29 Sept: 38.2B tokens, 17.9M requests30 Sept: 47.6B tokens, 16.8M requests1 Oct: 38.6B tokens, 20.8M requests2 Oct: 34B tokens, 16.7M requests3 Oct: 27.8B tokens, 11.7M requests4 Oct: 24.8B tokens, 10.5M requests5 Oct: 30.7B tokens, 14.4M requests6 Oct: 32B tokens, 13.2M requests7 Oct: 29.7B tokens, 13M requests8 Oct: 31.7B tokens, 13.6M requests9 Oct: 31B tokens, 13.8M requests10 Oct: 28.5B tokens, 11.8M requests11 Oct: 28.4B tokens, 11.1M requests12 Oct: 32.2B tokens, 13.1M requests13 Oct: 27.9B tokens, 12.2M requests14 Oct: 31B tokens, 13.8M requests15 Oct: 36.7B tokens, 16.3M requests16 Oct: 34.1B tokens, 16.2M requests17 Oct: 28.1B tokens, 10.6M requests18 Oct: 27.2B tokens, 10.3M requests19 Sept3 Oct17 Oct18 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 6.7 (2026-10-18) ↗Coding Index: 11.4 (2026-10-18) ↗
Compare this model with alternatives →