Phi-1 Models by Microsoft Research
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
The Phi-1 family of large language models (LLMs), developed by Microsoft, comprises several models designed for specific tasks, primarily focusing on code generation and reasoning. Phi-1, the initial model in the family, is a transformer-based model with 1.3 billion parameters, specializing in basic Python coding 18. Its training utilized a blend of "textbook quality" data sourced from the web and synthetic data generated using GPT-3.5 18. Despite its relatively small size compared to other LLMs, Phi-1 demonstrates impressive accuracy, exceeding 50% on the HumanEval benchmark for simple Python coding tasks 18. Subsequent models in the Phi family, such as Phi-1.5 and Phi-2, build upon this foundation, expanding capabilities to encompass broader natural language tasks while maintaining a focus on efficiency and high-quality data 911. These models showcase Microsoft's research into creating smaller, more efficient LLMs that rival the performance of much larger models 29.
Decision facts
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 2k context and 1.3B parameters.
Use when the workload needs 2k context and 1.3B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Phi-1.5 | Use when the workload needs 2k context and 1.3B parameters. | 2023-09 | 2k context1.3B parameters | Current |
| Phi-1 | Use when the workload needs 2k context and 1.3B parameters. | 2023-06 | 2k context1.3B parameters | Current |
Release Timeline
2 release groupsSpecifications(2 models)
Available From(1 provider)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Phi-1.5 | Microsoft Foundry | $0.07 | $0.07 | Provisioned |

