OpenAI: GPT-4o-mini

openai/gpt-4o-mini

Created Jul 18, 2024128,000 context

$0.15/M input tokens$0.6/M output tokens$0.217/K input imgs

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 than other recent frontier models, and more than 60% cheaper than GPT-3.5 Turbo. It maintains SOTA intelligence, while being significantly more cost-effective.

GPT-4o mini achieves an 82% score on MMLU and presently ranks higher than GPT-4 on chat preferences common leaderboards.

Check out the launch announcement to learn more.

#multimodal

Providers for GPT-4o-mini

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

OpenAI US	Context 128K Max Output 16K Input $0.15 Output $0.6 Latency 0.41s Throughput 65.08t/s Uptime
Azure US	Context 128K Max Output 16K Input $0.15 Output $0.6 Latency 0.93s Throughput 130.1t/s Uptime

Throughput

Apps using GPT-4o-mini

Top public apps this week using this model

shapes inc

General purpose social agents

2.12Btokens

QnA3.AI

new

636Mtokens

Agility Writer

Generate ready-to-rank articles

308Mtokens

ZimmWriter

new

280Mtokens

Cline

Autonomous coding agent right in your IDE

257Mtokens

bothub.chat

new

235Mtokens

Galaxy.ai

new

210Mtokens

OpenRouter Ruby Client

new

199Mtokens

Gray Swan Arena

new

196Mtokens

10.

Roo Code

A whole dev team of AI agents in your editor

168Mtokens

11.

liteLLM

Open-source library to simplify LLM calls

165Mtokens

12.

FlowData

new

157Mtokens

13.

Cod3x

new

132Mtokens

14.

LauncherIOS

new

79.5Mtokens

Recent activity on GPT-4o-mini

Tokens processed per day

Uptime stats for GPT-4o-mini

Uptime stats for GPT-4o-mini across all providers

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it.

Learn more about our load balancing and customization options.

Sample code and API for GPT-4o-mini

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

from openai import OpenAI

client = OpenAI(
  base_url="https://openrouter.ai/api/v1",
  api_key="<OPENROUTER_API_KEY>",
)

completion = client.chat.completions.create(
  extra_headers={
    "HTTP-Referer": "<YOUR_SITE_URL>", # Optional. Site URL for rankings on openrouter.ai.
    "X-Title": "<YOUR_SITE_NAME>", # Optional. Site title for rankings on openrouter.ai.
  },
  extra_body={},
  model="openai/gpt-4o-mini",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What is in this image?"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          }
        }
      ]
    }
  ]
)
print(completion.choices[0].message.content)

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

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The model demonstrates enhanced performance in tasks that require open-ended thinking, problem-solving, and communication. Early testing suggests it is better at generating nuanced responses, maintaining long-context coherence, and reducing hallucinations compared to earlier versions.

This research preview is intended to help evaluate GPT-4.5’s strengths and limitations in real-world use cases as OpenAI continues to refine and develop future models. Read more at the blog post here.

o3 Mini High

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The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost.

o3 Mini

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding.

This model supports the reasoning_effort parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium". OpenRouter also offers the model slug openai/o3-mini-high to default the parameter to "high".

The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities.

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GPT-4o

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GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of GPT-4 Turbo while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities.

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Note: This model is currently experimental and not suitable for production use-cases, and may be heavily rate-limited.

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Note: This model is currently experimental and not suitable for production use-cases, and may be heavily rate-limited.

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Note: This model is currently experimental and not suitable for production use-cases, and may be heavily rate-limited.

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GPT-4o-mini

GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs.

GPT-4o mini achieves an 82% score on MMLU and presently ranks higher than GPT-4 on chat preferences common leaderboards.

Check out the launch announcement to learn more.

#multimodal

GPT-4o

For benchmarking against other models, it was briefly called "im-also-a-good-gpt2-chatbot"

#multimodal

GPT-4o

For benchmarking against other models, it was briefly called "im-also-a-good-gpt2-chatbot"

#multimodal

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Training data: up to December 2023.

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Note: heavily rate limited by OpenAI while in preview.

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Training data up to Sep 2021.

GPT-4 Vision

Ability to understand images, in addition to all other GPT-4 Turbo capabilties. Training data: up to Apr 2023.

Note: heavily rate limited by OpenAI while in preview.

#multimodal

GPT-4 Turbo

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling.

Training data: up to April 2023.

GPT-3.5 Turbo 16k

An older GPT-3.5 Turbo model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more. Training data: up to Sep 2021.

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Training data up to Sep 2021.

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Training data up to Sep 2021.

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GPT-4

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