Phi 4

Phi 4 by Microsoft excels in the Coding category, where it ranks #219 with a composite score of 60/100. [Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Phi 4 is priced at $0.07 per million input tokens and $0.14 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Phi 4 holds rank #219 out of 440 models tracked. Its quality rank is #219 and adoption rank is #219. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Phi 4 has been evaluated across 6 different signals. Its strongest areas include Capabilities (33/100), Benchmarks (65/100), Pricing (100/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 60/100 reflects a weighted combination of all tracked signals.

Phi 4 is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Microsoft's website for current free tier availability and promotional offers.

Phi 4 supports a 16K token context window (16,384 tokens total). That translates to roughly 12,288 words in a single prompt. Best suited for shorter prompts and focused tasks where you do not need to load massive context.

Phi 4 can generate up to 15K output tokens (14,745 tokens) per response. That is roughly 11,059 words. Sufficient for typical conversations, code snippets, and summaries.

Phi 4 supports structured JSON output, streaming responses. These capabilities determine which workflows and integrations the model can handle natively.

Yes, Phi 4 is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

Phi 4 was developed by Microsoft. It was released on January 10, 2025. You can access it through Microsoft's API or download the model weights directly. Check our provider page for all models from Microsoft and how they compare against each other.

Pick Phi 4 when you need a solid balance of cost and capability for everyday development tasks, content generation, and standard API integrations. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Phi 4 through Microsoft's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.