Microsoft Research 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 parameters, it was trained on a mix of high-quality synthetic datasets, data from curated websites, and academic materials. It has undergone careful improvement to follow instructions accurately and maintain strong safety standards. It works best with English language inputs. For more information, please see Phi-4 Technical Report
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Help me set up the Respan gateway: fetch and follow https:/
2 providers serve this model through the Respan gateway, cheapest first. Copy a model ID to call that route directly.
| Provider | Input | Output |
|---|---|---|
DeepInfra deepinfra/microsoft/phi-4 | $0.07/M | $0.14/M |
OpenRouter openrouter/microsoft/phi-4 | $0.07/M | $0.14/M |
Built to meet the security and privacy standards that enterprise and healthcare teams require.
Is a provider down? OpenRouter status
Averaged across 2 providers, in USD per 1M tokens after gateway discounts.
Total cost from 0 to 1T tokens.
30-day averages per provider from requests through the Respan gateway, best first. 1 of 2 providers had traffic in that window.
64tokens/son OpenRouter
1.0son OpenRouter
14 published scores for Phi 4 from 4 sources. Each score links to where it was published. Percentages are out of 100. Arena ratings are Elo, marked between the lowest and highest rated model on each leaderboard.
7.0/ 100#138 of 138 ranked models
95% interval 5.8 to 9.2. Measured in 4 of 5 categories.
Use Phi 4 in the tools you already run. Each guide points the app at the Respan gateway, then you pick this model.
Setup guides for more apps are in the integration docs.
ISO 27001
The internationally recognized standard for information security management.
SOC 2
Secure, compliant management of your data across all of our systems.
GDPR
Operated under GDPR, the world's strictest standard for data privacy.
HIPAA
HIPAA compliant, with a BAA available for healthcare teams.
Nearby in the ranking