Microsoft: Phi 4 Multimodal Instruct

Text input Image input Text output
Author's Description

Phi-4 Multimodal Instruct is a versatile 5.6B parameter foundation model that combines advanced reasoning and instruction-following capabilities across both text and visual inputs, providing accurate text outputs. The unified architecture enables efficient, low-latency inference, suitable for edge and mobile deployments. Phi-4 Multimodal Instruct supports text inputs in multiple languages including Arabic, Chinese, English, French, German, Japanese, Spanish, and more, with visual input optimized primarily for English. It delivers impressive performance on multimodal tasks involving mathematical, scientific, and document reasoning, providing developers and enterprises a powerful yet compact model for sophisticated interactive applications. For more information, see the [Phi-4 Multimodal blog post](https://azure.microsoft.com/en-us/blog/empowering-innovation-the-next-generation-of-the-phi-family/).

Key Specifications
Cost
$$
Context
131K
Parameters
5.6B (Rumoured)
Released
Mar 07, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Presence Penalty Top P Temperature Seed Min P Response Format Frequency Penalty Max Tokens
Features

This model supports the following features:

Response Format
Performance Summary

Microsoft's Phi-4 Multimodal Instruct, a 5.6B parameter model, demonstrates competitive response times, ranking in the 48th percentile for speed across benchmarks. Its pricing is a significant strength, consistently offering among the most competitive rates, placing it in the 90th percentile. The model also exhibits strong reliability, with few technical issues, achieving the 82nd percentile. While excelling in cost-efficiency and reliability, its accuracy across various benchmarks is generally lower. It struggles in Coding (22nd percentile), Instruction Following (29th percentile), Reasoning (22nd percentile), and General Knowledge (18th percentile). Although its Email Classification accuracy is 92.0%, its percentile rank (23rd) suggests other models perform better. A notable weakness is its exceptionally long duration for the Ethics benchmark (4th percentile). Overall, Phi-4 Multimodal Instruct is a cost-effective and reliable option, particularly suited for edge and mobile deployments, but its current performance in complex reasoning and knowledge-based tasks indicates room for improvement in accuracy.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.05
Completion $0.1

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
DeepInfra
DeepInfra | microsoft/phi-4-multimodal-instruct 131K $0.05 / 1M tokens $0.1 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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