Capabilities
7-day heat trend
−28.1%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 8% of tracked models
- Efficiency rank: #375 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About phi-4-multimodal-instruct
Microsoft Phi 4 Multimodal Instruct processes text, image, and audio inputs and returns text for lightweight multimodal workloads.
phi-4-multimodal-instruct is a Multimodal model from Microsoft (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 131K-token context window, ~124 tokens/sec throughput and 96.2% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare phi-4-multimodal-instruct
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Frequently asked questions
How much does phi-4-multimodal-instruct cost per 1M tokens?+
phi-4-multimodal-instruct 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 phi-4-multimodal-instruct best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is phi-4-multimodal-instruct?+
phi-4-multimodal-instruct delivers about 124 tokens/sec with 96.2% tracked availability, suitable for latency-sensitive, real-time applications.
Is phi-4-multimodal-instruct cheaper than other AI models?+
Within the HotON.ai tracked set, phi-4-multimodal-instruct is cheaper than 43% of models on input price and ranks #375 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.