Capabilities
7-day heat trend
−22.2%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 53% of tracked models
- Efficiency rank: #241 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About gpt-4o-mini
Azure OpenAI deployment reference for GPT-4o mini; actual deployment name and region are customer-specific.
gpt-4o-mini is a Multimodal model from Azure OpenAI (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 128K-token context window, ~149 tokens/sec throughput and 96.9% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare gpt-4o-mini
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Frequently asked questions
How much does gpt-4o-mini cost per 1M tokens?+
gpt-4o-mini is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is gpt-4o-mini best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is gpt-4o-mini?+
gpt-4o-mini delivers about 149 tokens/sec with 96.9% tracked availability, suitable for latency-sensitive, real-time applications.
Is gpt-4o-mini cheaper than other AI models?+
Within the HotON.ai tracked set, gpt-4o-mini is cheaper than 43% of models on input price and ranks #241 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.