OpenAI: GPT-4o-mini

Name: GPT-4o-mini
Brand: OpenAI
Price: 0.04 USD
Availability: InStock

GPT-4o-mini is OpenAI's compact multimodal model, released 2024-07, positioned as a low-cost alternative to GPT-4o. It scores 82% on MMLU and outperforms GPT-4 on chat preference leaderboards, while costing a fraction of larger frontier models.

Modalities

inTextinImageinFileoutText

Price / 1M−70%

$0.04 / $0.18~~$0.15 / $0.60~~

Context

128K

Knowledge cutoff

2023-10-31

Capabilities

VisionTool usePrompt cachingStructured output

Channels

Same weights on every channel. Requests route to the cheapest healthy one; the channel used is printed on each billing line.

Provider

Discount

Input /M

Output /M

Cache Read /M

Cache Create 5m /M

Cache Create 1h /M

Codexcheap

−70%

$0.04

$0.18

$0.02

—

Defaultstable

−30%

$0.10

$0.42

$0.05

—

Cost Calculator

Pick a channel and a usage scenario, then drag to your workload — each scenario assumes a different prompt-cache hit rate.

Channel

Scenario

Input tokens / request1,600Output tokens / request800Requests / month60,000

Unit $0.04 / $0.18 /1MDaily chat: 40% cache hit assumed · cache read $0.02 /1M

List price ~~$40.32~~On MirAPI$12.10/ moYou save $28.22Create an API key

Benchmarks

bar = score (0–100) · ▏ median

Scores from vendor reports and public leaderboards. No private evals.

Coding Index

Code

11.4

#85

Agentic Index

Agentic

1.0

#83

GPQA Diamond

Science QA

42.4

#94

τ-bench (airline)

Agentic tool use

24.0

#96

Showcase

Three fixed prompts, identical for every chat model. Outputs are archived verbatim — copy the prompt to reproduce.

Task prompt · identical for all models

Build a single-file HTML page using three.js from a CDN: a low-poly planet with a tilted ring of ~200 orbiting particles, a soft key light plus rim light, slow auto-rotation, and drag-to-orbit controls. No build tools — one file only.

Run in Playground

Archived output

Archive not published yet

Every model will run this exact prompt; the output lands here verbatim, with tokens and per-run cost.

Quick Start

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.mirapi.ai/v1",   # changed
    api_key=os.environ["MIRAPI_API_KEY"],   # changed
)

resp = client.chat.completions.create(
    model="openai/gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello"}],
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.mirapi.ai/v1",  // changed
  apiKey: process.env.MIRAPI_API_KEY,      // changed
});

const res = await client.chat.completions.create({
  model: "openai/gpt-4o-mini",
  messages: [{ role: "user", content: "Hello" }],
});

curl https://api.mirapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $MIRAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-4o-mini",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# ~/.zshrc
export ANTHROPIC_BASE_URL="https://api.mirapi.ai"
export ANTHROPIC_AUTH_TOKEN="$MIRAPI_API_KEY"

# start as usual — model names unchanged
claude --model openai/gpt-4o-mini

# ~/.codex/config.toml
model_provider = "mirapi"
model = "openai/gpt-4o-mini"

[model_providers.mirapi]
name = "MirAPI"
base_url = "https://api.mirapi.ai/v1"
env_key = "MIRAPI_API_KEY"
wire_api = "responses"

Links

openai.com www.mirapi.ai

Wire GPT-4o-mini into your product

1M free tokens to start · no card · OpenAI-compatible, one base_url change

Start free