Phi-3 Silica
phi-3-silica
Last refreshed 2026-04-15. Next refresh: weekly.
Phi-3 Silica has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Decision context: Coding task fit, 0 tracked provider routes, and research from 2026-01-01.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
-
No tracked output price
Provider routes
0
No provider route in seed
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-01-01
Researched 144d ago
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
Phi-3 Silica is Microsoft's compact language model tailored for the Neural Processing Units (NPUs) in Copilot+ PCs. With 3.3 billion parameters, it is recognized as the smallest in the Phi-3 family, prioritizing efficiency and low power consumption by processing 650 tokens per second using just 1.5 watts. This model operates locally on devices, enhancing privacy by eliminating the need for an internet connection, which helps preserve battery and free up the CPU and GPU. Its deployment enables real-time applications like offline voice assistance, on-device sentiment analysis, and secure voice search, with the promise of personalized tools and APIs through the Windows App SDK as Copilot+ PCs rollout continues.
Capabilities
No model capability flags are currently sourced.
