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OpenAI GPT-4o mini

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OpenAI GPT-4o mini: faster, cheaper, smarter small-model performance for multimodal AI.

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#AI Model#Multimodal#Compact
Inputs: text, imageOutputs: text
Type
Saas
Founded
2015
Company
OpenAI
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About OpenAI GPT-4o mini

OpenAI GPT-4o mini is a compact multimodal AI model designed for speed, cost efficiency, and strong reasoning across text and vision. It offers a 128K token context window and achieves benchmark-leading performance on MMLU (82%) and MGSM (87%), outperforming other small models like Gemini 1.5 Flash and Claude 3 Haiku. The model is available via API and through ChatGPT for consumers, with enterprise access following shortly after launch. It is intended to replace GPT-3.5 Turbo for fast, scalable applications and agentic workflows, and future support for video and audio capabilities is planned.

Key Features

Small, multimodal model optimized for speed and cost
Benchmark-leading small-model reasoning (82% MMLU) across text and vision
Exceptional math reasoning (87% MGSM)
Median output speed of ~202 tokens/second
Over 2x faster than GPT-4o and GPT-3.5 Turbo
Low pricing: $0.15/M input tokens and $0.60/M output tokens
Large 128K-token context window for long inputs
Current support for text + vision; video and audio planned
Available via API and in ChatGPT (web and mobile)
Enterprise availability following consumer release

Pros & Cons

Pros
  • Faster and cheaper than larger models like GPT-4 Omni
  • Strong reasoning performance on benchmarks
  • Large context window (128K tokens)
  • Available through both API and ChatGPT
  • More than 60% cheaper than GPT-3.5 Turbo
Cons
  • Currently limited to text and vision; video and audio support are not yet available
  • Free tier usage limits should be verified on OpenAI's pricing page
  • Enterprise access is not immediate; it follows after consumer release
  • Exact model size is not disclosed by OpenAI

Best For

Consumer app developers: Deliver instant, low-latency chat and assistive features with high-quality responses at low cost.Support automation teams: Build triage bots that read screenshots and text to solve issues quickly and affordably.Product managers: Prototype multimodal features (text + images) without incurring high inference costs.Data analysts: Process long documents (up to 128K tokens) for summarization, Q&A, and extraction.Education platforms: Provide real-time math tutoring and step-by-step reasoning powered by strong MGSM performance.E-commerce teams: Create visual search, product tagging, and customer Q&A with fast, accurate outputs.Agent builders: Run lightweight agentic workflows that need fast tool use and iterative reasoning.Content creators: Generate drafts, captions, and image-aware copy with minimal latency.Mobile developers: Embed on-device or edge-friendly experiences that rely on fast responses and low costs.Enterprise IT: Roll out cost-efficient copilots across departments with API and ChatGPT availability.

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