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MultimodalMultimodalGPT-4o Family

GPT-4o mini

GPT-4o mini is a lightweight, cost-efficient member of the GPT-4o family optimized for fast, low-latency text and vision tasks. It supports multimodal inputs (text and images) while targeting everyday assistant use cases and high-volume workloads.

by OpenAIReleased 2024-07-18Proprietary
Context Window
128K
API Access
Available

Key Capabilities

  • +Fast, low-latency text generation for chat and assistant use cases
  • +Multimodal understanding of text and images (image-to-text)
  • +Good general reasoning and knowledge for everyday tasks
  • +Code generation and debugging for common programming languages
  • +Summarization, rewriting, and translation across many languages
  • +Tool-use and function-calling support via the OpenAI API

Limitations

  • -Lower raw capability than full GPT-4o on complex reasoning and niche expert domains
  • -Not suitable as the sole source for high-stakes decisions (medical, legal, financial, safety-critical)
  • -May hallucinate facts or code and should be paired with verification for critical tasks
  • -Multimodal abilities focus on understanding images, not generating them
  • -Proprietary model with no access to weights or on-prem deployment

Benchmark Performance

reasoning

reasoning

Massive Multitask Language Understanding

82.0%

coding

coding

HumanEval

87.2%

math

math

Grade School Math 8K

93.2%
math

MATH

70.2%

conversation

conversation

Chatbot Arena Elo

1217.0Elo

Alternatives & Comparisons

Claude 3 HaikuLLM

Anthropic’s small, fast Claude 3 model optimized for low-latency workloads and strong reasoning for its size.

Strengths
  • + Competitive reasoning for a small model
  • + Good safety and refusal behavior
Weaknesses
  • - No native image understanding in most deployments
  • - Closed weights and proprietary API
Llama 3.2 11B VisionOpen-source multimodal LLM

Open-source multimodal model with on-device and self-hosting options, trading some quality for control and customization.

Strengths
  • + Open weights and self-hosting
  • + Native vision capabilities
Weaknesses
  • - Typically weaker than GPT-4o mini on complex reasoning and coding
  • - Requires infra and MLOps to deploy

Other GPT-4o Models

GPT-4 Vision

Sources

platform.openai.comopenai.com