Microsoft: Foundation Models

Founded 2023|Redmond, WA|10000+ people|open-source

What is Microsoft?

Microsoft Phi is a family of small language models designed for resource efficiency without compromising performance. Starting with Phi-2 (2.7B parameters) that surpassed Mistral and Llama-2 models at 7B-13B parameters, the Phi family now includes Phi-4, Phi-4-multimodal (text, audio, vision), and Phi-4-mini. Phi-4 costs USD 0.13 per 1M input tokens and USD 0.50 per 1M output tokens on Azure, with a blended rate of USD 0.22 per 1M tokens. The models excel at math and reasoning tasks, with Phi-4 outperforming comparable and larger models through high-quality synthetic datasets and post-training innovations. Phi models are particularly effective for resource-constrained environments, on-device inference, latency-sensitive scenarios, and cost-constrained use cases. Available through Azure AI Foundry with pay-as-you-go and provisioned throughput options, Phi models provide a 200,000-word vocabulary in 20+ languages. While impressive for their size, limitations include primary English design, reduced factual knowledge capacity, code generation primarily in Python, and tendency for textbook-like verbose responses.

Key features

Core capabilities this platform advertises.

Small language models
On-device inference
Phi series

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

Exceptional performance-to-size ratio—2.7B Phi-2 outperforms 13B models
Highly cost-effective for resource-constrained and edge deployments
Multimodal Phi-4 supports text, audio, and vision inputs
Strong math and reasoning capabilities from synthetic training data

Cons

Primary English design limits multilingual applications
Reduced factual knowledge capacity due to smaller size
Code generation focused on Python with other languages less reliable
Verbose textbook-like responses can feel unnatural

Plans & pricing

What's included in each plan, and how the tiers compare.

Phi-4

$0.13/0.50

Per 1M tokens (input/output)

Blended: $0.22/1M tokens
Math and reasoning focus
Azure hosted

Phi-4-mini

Lower cost

Smaller footprint
Edge deployment
Cost-effective

Phi-4-multimodal

Premium

Text, audio, vision
200K word vocabulary
20+ languages

View official pricing page

Using Microsoft with Respan

Microsoft Phi and Respan enable efficient small model deployment with monitoring. Use Phi models while tracking costs with Respan.

Track Phi model costs across different sizes and modalities
Compare Phi performance against larger models for cost-benefit analysis
Monitor inference latency for edge deployments
Optimize model selection based on Respan cost and quality metrics

Run Microsoft in production with Respan

10KFree traces/mo

1,000+Models

5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

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Best Microsoft alternatives & competitors

Top companies in Foundation Models you can use instead of Microsoft.

OpenAI

GPT-4o and GPT-4 Turbo frontier models