AI · head to head
AutoGen vs PromptLayer

PromptLayer
AI
Collaboration platform for prompt management, evaluation, and observability
- From
- Free
- Rated
- -
The short version
- Each has a real cost: AutoGen framework now in maintenance mode, no new features planned; PromptLayer the free plan is capped at only 2,500 requests per month, quite limited for active production use.
- They diverge on capability: AutoGen covers Multi-agent orchestration, PromptLayer covers Visual prompt management.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which AutoGen and PromptLayer actually diverge.
| Attribute | AutoGen | PromptLayer |
|---|---|---|
| Pricing model | Open source, no pricing | freemium |
| Platforms | Python, .NET | web, api |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (AI).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in AutoGen
- Multi-agent orchestration
- Message passing API
- AgentChat API
- Extensions API
- MCP server support
- AutoGen Studio
- Cross-language support
- Observable agent networks
Only in PromptLayer
- Visual prompt management
- Agent observability
- Evaluations
- Version control
- Cost and latency monitoring
- Agent workflow tracing
What people use each for
The jobs each tool is most often brought in to do.
AutoGen
- Building multi-agent conversational systemsnot PromptLayer
- Rapid prototyping of agent applicationsnot PromptLayer
- Research on agentic AI patterns and architecturesnot PromptLayer
- Distributed agent networks across boundariesnot PromptLayer
PromptLayer
- Versioning and deploying prompts without code redeploysnot AutoGen
- Running evaluations with human review before production releasenot AutoGen
- Tracing multi-step agent workflows for debuggingnot AutoGen
- Monitoring LLM cost and latency by featurenot AutoGen
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
AutoGen
- Framework now in maintenance mode, no new features planned
- Steeper learning curve for advanced use cases
- Microsoft recommends new projects use Agent Framework instead
- Limited to Python and .NET platforms
PromptLayer
- The free plan is capped at only 2,500 requests per month, quite limited for active production use.
- The Team plan jumps to $500/month, a large step up from the $49/month Pro plan.
- Overage transaction fees apply on top of subscription costs, which can make total spend less predictable.
- Enterprise-grade features like HIPAA BAAs and custom deployment require contacting sales.
Pricing, plan by plan
AutoGen
Free- Open SourceFree
- MIT and CC-BY-4.0 licenses
- Full framework access
- Community support
PromptLayer
Free- FreeFree
- 5 users
- 2,500 requests/month
- 1 workspace
- Pro$49/month
- Unlimited playgrounds and workspaces
- 150MB datasets
- Pay-as-you-go overage at $0.003/transaction
- Team$500/month
- 25 users
- 100k+ monthly requests
- Webhooks
- Enterprise$undefined/mo
- Custom limits
- Role-based access controls
- HIPAA with BAA
Which should you pick?
Choose AutoGen if
- You need multi-agent orchestration.
- You want to start without paying.
- You work on Python, .NET.
- You also want message passing api.
Choose PromptLayer if
- You need visual prompt management.
- You want to start without paying.
- You work on web, api.
- You also want agent observability.
Questions people ask
- Is AutoGen or PromptLayer better?
- Neither clearly leads. AutoGen starts at Free and PromptLayer at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AutoGen or PromptLayer?
- AutoGen starts at Free and PromptLayer at Free.
- Does AutoGen or PromptLayer run on more platforms?
- AutoGen runs on Python, .NET. PromptLayer runs on web, api.
- Can I use AutoGen for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is AutoGen best used for?
- AutoGen is most often used for building multi-agent conversational systems, rapid prototyping of agent applications, research on agentic ai patterns and architectures, distributed agent networks across boundaries. Of those, building multi-agent conversational systems and rapid prototyping of agent applications are not what PromptLayer is typically brought in for.
- What can AutoGen do that PromptLayer cannot?
- AutoGen covers Multi-agent orchestration, Message passing API, AgentChat API, Extensions API. PromptLayer covers Visual prompt management, Agent observability, Evaluations, Version control.
Answered from the vendors’ own pages
AutoGen: Is AutoGen still actively developed?
As of March 2026, AutoGen is in maintenance mode and will not receive new features. Microsoft recommends new projects use the Microsoft Agent Framework instead.
SourcePromptLayer: What does PromptLayer cost?
PromptLayer has a free plan, a Pro plan at $49/month, a Team plan at $500/month, and custom Enterprise pricing, with additional usage billed per transaction beyond plan limits.
SourceAutoGen: Can I still use AutoGen for new projects?
While AutoGen is stable and maintained for existing projects, Microsoft recommends using the Microsoft Agent Framework for new development.
SourcePromptLayer: Is there a free plan, and what are its limits?
The Free plan includes 5 users, 2,500 requests per month, 1 workspace, 250 monthly eval cell executions, and datasets up to 10MB.
SourceAutoGen: What LLM providers does AutoGen support?
AutoGen includes extensions for OpenAI and Azure OpenAI through its Extensions API, with community support for other providers.
SourcePromptLayer: How is usage metered beyond the plan limits?
Additional usage is charged per transaction for requests, agent runs, and evaluation cell runs, at $0.003/transaction on Pro and $0.002/transaction on Team.
SourceRelated pages
More on PromptLayer
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