Machine Learning · pricing
Semantic Kernel pricing
Semantic Kernel publishes a single tier. Below is what it costs, what it covers, and how that compares with the machine learning tools listed alongside it.
- Entry price
- Free
- Model
- Open source, no pricing
- Tiers
- 1
- Free tier
- Yes
Semantic Kernel plans, side by side
Every published tier in ascending order of price, with the number of features each one lists. An absence here means the record does not itemise it, not that the tier lacks it.
| Plan | Price | Features listed | Step up from the tier below |
|---|---|---|---|
| Open Source | Free | 4 | Entry tier |
Where Semantic Kernel stops being free
Open Source, Free
- MIT license
- Full framework access
- All language SDKs
- Community support
No paid tier on record
Semantic Kernel lists a free tier and no priced tier above it in the record we hold.
What the product covers
The full Semantic Kernel feature record, grouped as the catalogue groups it. This is the product as a whole; the record does not map every feature onto a specific tier.
Core
- Multi-model support
- Agent framework
- Multi-agent systems
Extensibility
- Plugin ecosystem
Integration
- Vector database integration
Capabilities
- Multimodal support
Deployment
- Local model support
Operations
- Enterprise observability
People bring Semantic Kernel in for building enterprise ai applications with llm integration, creating multi-agent systems for complex workflows, developing ai-powered chatbots and assistants, implementing rag systems with vector databases. If that is not the job you are buying for, the alternatives to Semantic Kernel are worth a look before you commit to a tier.
How that compares in Machine Learning
Too few machine learning tools in this directory publish a starting price to quote a meaningful median, so the table below is a like-for-like list rather than a ranking.
| Tool | Entry price | Model | Rated | Head to head |
|---|---|---|---|---|
| Semantic Kernel (this page) | Free | Open source, no pricing | - | |
| ClearML | Free | Open-source self-hosted, with paid hosted and enterprise tiers | - | vs Semantic Kernel |
| Langwatch | Free, then €29/month | Tiered subscription with usage-based overage charges | - | vs Semantic Kernel |
| Haystack | Free | Open-source with optional paid enterprise support | - | vs Semantic Kernel |
| Fal AI | $1.89/hour | usage-based | - | vs Semantic Kernel |
| H2O.ai | Free | freemium | - | vs Semantic Kernel |
| Dask | Free | open-source | - | vs Semantic Kernel |
Ratings are aggregated from third-party sources and imported with each catalogue entry, they are not reviews hosted on Softwr. How each figure is used is set out on the Semantic Kernel badges page.
Before you pay for Semantic Kernel
Three things this page cannot tell you, and all three change the bill. The record carries a price and a billing period but not the unit - per-seat and flat-rate pricing are indistinguishable in this data, so a five-person team may be looking at five times the figure above. It carries no annual rate, so any discount for paying yearly is not something this page can quote. And it carries no trial length.
What it can tell you is the shape of the ladder: a single tier at Free. Because there is a free tier, the cheapest way to answer the rest is to use it before paying anything.
Semantic Kernel runs on python, .net, java, and is published by Microsoft. The full record is on the Semantic Kernel review, and the rest of the category is under best machine learning tools.
Semantic Kernel pricing questions
- How much does Semantic Kernel cost?
- Semantic Kernel publishes a single tier, Open Source, at Free.
- Does Semantic Kernel have a free plan?
- Yes. The Open Source tier costs nothing and covers mit license, full framework access, all language sdks.
- Which machine learning tools can I use without paying?
- 7 of the 8 machine learning tools listed alongside Semantic Kernel have a free tier: ClearML, Langwatch, Haystack, H2O.ai, Dask.
- What am I actually paying for with Semantic Kernel?
- The record lists 8 features across 6 areas: core, extensibility, integration, capabilities, deployment, operations. In practice it is brought in for building enterprise ai applications with llm integration, creating multi-agent systems for complex workflows, developing ai-powered chatbots and assistants.
- Does Semantic Kernel charge per user?
- The record carries a price and a billing period for each of its 1 tiers, but not the unit that price is charged in. Per-seat and flat-rate billing look identical in this data, so check the vendor's page before budgeting for a team.
- Are these Semantic Kernel prices current?
- They are what the catalogue entry holds, refreshed when the entry is. Vendors change pricing without notice and nobody at Softwr re-verifies each tier by hand, so treat this as a structured summary and the vendor's own pricing page as the authority.
- What should I compare Semantic Kernel against before paying?
- The closest machine learning tools in this directory are ClearML, Langwatch, Haystack, Fal AI. Each has a side-by-side comparison with Semantic Kernel covering price, platforms and features.