Quick Start
- 1
- 2Use the Microsoft Foundry SDK or REST API to call
orca-2-7b— see the documentation for request format. - 3
Code Examples
About Microsoft Foundry
Microsoft Foundry offers a comprehensive platform-as-a-service for enterprise AI operations. It provides multiple deployment options including Serverless APIs (pay-as-you-go), Global Standard (shared managed capacity), Provisioned Throughput Units (reserved capacity), batch processing, and bring-your-own model deployments. The platform features a unified control plane for models, agents, tools, and observability. Its Agent Service enables building and deploying AI agents with built-in tracing, monitoring, and governance. Evaluation and monitoring tools assess model performance, safety, and groundedness. Foundry supports seamless upgrades from Azure OpenAI with non-destructive migration, maintaining existing deployments while unlocking multi-provider model access and advanced platform capabilities.
Microsoft Foundry is a unified Azure platform-as-a-service offering for enterprise AI operations, model builders, and application development. It provides access to over 1,900 models from Microsoft, OpenAI, Anthropic, Mistral, xAI, Meta, DeepSeek, Hugging Face, and more. Foundry unifies agents, models, and tools under a single management grouping with built-in enterprise-readiness capabilities including tracing, monitoring, evaluations, and customizable enterprise setup configurations.
Pricing on Microsoft Foundry
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.52 |
| Output tokens | $0.67 |
Capabilities
No model capability flags are currently sourced.
About Orca 2 7B
Orca 2 7B is a large language model developed by Microsoft, focusing on reasoning tasks and providing precise single-turn responses. It is a fine-tuned version of the LLaMA-2 architecture, trained on a synthetic dataset with enhanced reasoning capabilities, moderated by Microsoft Azure content filters. While adept at handling reasoning over user-provided data, reading comprehension, math problem-solving, and text summarization, it is not optimized for chat applications without further fine-tuning. Orca 2 shows strong performance in zero-shot settings but shares some LLMs' common limitations, including biases and the potential for generating misleading content. Designed primarily for research, its use in production requires careful assessment to mitigate potential harms or biases.