- 🧠 Brings much of GPT-4o capability to cost-efficient small-model workloads
- 📏 128K-token context window, up to 16K output tokens
- 👁️ Accepts text and image inputs, produces text outputs
- 🔧 Strong function calling and structured outputs support
- 🌐 Built-in web search capability in this catalog deployment
- 📚 Knowledge cutoff October 2023; shares GPT-4o tokenizer
- ⚡ Optimized for high-volume, low-latency chained and real-time tasks
- 🆕 Surpasses GPT-3.5 Turbo on academic and multimodal benchmarks
OpenAI is an American artificial intelligence research organization headquartered in San Francisco, structured as both a for-profit public benefit corporation and a nonprofit foundation. The lab developed the GPT family of large language models, the DALL-E image generation…
Explore 16 more models by OpenAI →GPT-4o Mini is OpenAI's compact, cost-efficient member of the GPT-4 "omni" family, designed to bring much of GPT-4o's capability to high-volume, latency-sensitive workloads. OpenAI positions it as a fast, affordable small model for focused tasks, accepting both text and image inputs and producing text outputs including Structured Outputs. It carries a 128K-token context window, supports up to 16,384 output tokens per request, and has knowledge up to October 2023.
Compared with its own predecessor in the small-model line, GPT-3.5 Turbo, OpenAI reports that GPT-4o Mini surpasses it on academic benchmarks across both textual intelligence and multimodal reasoning, adds vision support, and delivers improved long-context and function-calling performance. It also shares the improved tokenizer used by [[sibling:openai-gpt-4o-2024-11-20|GPT-4o]], making non-English text handling more efficient, and model outputs from larger models can be distilled into it for similar results at lower cost.
Within this catalog's family lineage, GPT-4o Mini has since been succeeded by [[sibling:openai-gpt-54-mini|GPT-5.4 Mini]], which OpenAI describes as one of its most capable small models with a 400K context window and broader tool support including web search, file search, and computer use. According to OpenAI, GPT-5.4 mini consistently outperforms earlier small models at similar latencies, reflecting the family's generational progress.
For developers, GPT-4o Mini remains suited to chaining or parallelizing multiple model calls, processing large context volumes, and powering real-time chatbots where cost and speed matter.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 88 | $0.0938 | $0.0469 | $0.375 | chat,vision,multimodal,web-search | openai-chat-completions |
| surplusintelligence.ai 0x0e49…8927 | 79 | $0.1875 | $0.0938 | $0.75 | chat,multimodal,vision,web-search | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 45 | $0.1688 | $0.0838 | $0.675 | chat,multimodal,vision,web-search | — |
| ▲ Apex Ant 0x73b4…e736 | 40 | $0.0014 | $0.0003 | $0.0054 | chat,fast,vision,multimodal,cheap,study,translate | openai-chat-completions |
| Leftermute 0x388b…5389 | 26 | $0.0171 | $0.0171 | $0.0682 | chat,coding,json,tools | openai-chat-completions |
| AntFeed 0xddb6…1442 | 25 | $0.165 | $0.165 | $0.66 | chat,cheap,fast | openai-chat-completions |
| Meridian AI 0x8c8c…06f5 | 2 | $0.0182 | $0.0182 | $0.0729 | chat,coding | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens, not settled amounts). Reputation = on-chain trust (0-100). Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase.