Pricing last verified: May 2026. Plans and pricing may change — check the vendor site for current details.
Pricing Overview
Semantic Kernel is Microsoft's open-source SDK for building AI-powered applications, released under the MIT license. The SDK itself is completely free — there are no tiers, seat licenses, or usage fees for the framework. You download it from NuGet or PyPI and use it without restriction.
The real cost of running Semantic Kernel comes from the LLM APIs it orchestrates. Most teams pair it with Azure OpenAI Service, though it also supports OpenAI directly, Hugging Face, and other providers. Your monthly bill depends entirely on which models you call, how often, and at what token volume. Microsoft does not charge anything on top of those underlying API costs.
Plan Comparison
Since Semantic Kernel has no paid tiers, the meaningful comparison is across the LLM backends it connects to. Here is what teams actually pay when using Semantic Kernel in production:
| Component | Cost | What You Get |
|---|---|---|
| Semantic Kernel SDK | $0 | Full framework: agents, planners, plugins, memory, function calling |
| Azure OpenAI — GPT-4o | $2.50 per 1M input tokens | Enterprise-grade hosting, SLA, content filtering |
| Azure OpenAI — GPT-4o mini | $0.15 per 1M input tokens | Cost-effective for high-volume tasks |
| OpenAI API — GPT-4o | $2.50 per 1M input tokens | Direct access without Azure subscription |
| Azure AI Search (for RAG) | $249 per month (S1 tier) | Vector + keyword search for retrieval-augmented generation |
| Azure Cosmos DB (memory store) | $25 per month (minimum) | Persistent conversation memory and state |
The $0 entry price makes Semantic Kernel one of the most accessible AI orchestration frameworks available. You pay nothing until you connect a model provider.
Hidden Costs and Considerations
While the SDK is free, production deployments carry costs that are easy to underestimate:
- Token consumption scales fast. A multi-agent pipeline with planner + function calling can use 3-5x more tokens than a single prompt, since the SDK sends intermediate reasoning steps back to the model.
- Azure dependency. While Semantic Kernel supports multiple providers, its deepest integration is with Azure OpenAI. Teams on AWS or GCP may need extra engineering effort to match feature parity.
- No managed hosting. Unlike LangChain's LangSmith platform, Semantic Kernel has no paid observability layer. You build your own tracing and monitoring, or integrate third-party tools like Azure Application Insights.
- Enterprise support. Microsoft does not offer a dedicated Semantic Kernel support plan. Support comes through general Azure support channels (starting at $29 per month for Developer tier).
Cost Estimates by Team Size
All estimates assume Azure OpenAI as the LLM backend with GPT-4o for complex tasks and GPT-4o mini for simple ones.
- Solo developer / prototyping: $5-$20 per month. Light API usage with a few hundred requests per day. The SDK itself adds nothing to the bill.
- Small team (5 engineers): $100-$400 per month. Moderate production traffic. Add $249 per month if using Azure AI Search for RAG pipelines.
- Mid-size team (20 engineers): $500-$2,000 per month in API costs alone, plus infrastructure for hosting, monitoring, and vector storage. At this scale, the $0 framework cost is a genuine advantage over platforms that charge per seat.
How Semantic Kernel Pricing Compares
Semantic Kernel's $0 framework cost stands out against competitors that layer platform fees on top of API costs:
- LangChain is also open-source and free as a framework. However, LangSmith (its tracing and evaluation platform) costs $0 per seat on the Developer plan but $39 per seat on the Plus plan. Teams needing production observability pay more with LangChain's ecosystem than with Semantic Kernel's.
- CrewAI is open-source and free for the framework, similar to Semantic Kernel. Both pass through LLM API costs without markup. CrewAI focuses on multi-agent workflows, while Semantic Kernel offers broader enterprise integration through the Microsoft ecosystem.
- AgentVault follows a different model entirely — free for self-hosting (MIT license), but its managed platform charges $49 per month for Pro and $199 per month for Enterprise. Semantic Kernel avoids this split by staying purely open-source with no managed tier.
For teams already invested in the Microsoft and Azure ecosystem, Semantic Kernel delivers the best value: a mature, well-maintained SDK at zero framework cost with first-class Azure OpenAI integration.