LangSmith vs AssemblyAI Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
| LangSmith | AssemblyAI | |
|---|---|---|
| Starts at | $39/mo | Custom |
| Number of plans | 3 | 2 |
| Free plan | ||
| Free trial | — | |
| Pricing model | hybrid | usage-based |
Developer
- Up to 5k base traces / mo, then pay-as-you-go
- Community support
- 1 seat
- Tracing
- Monitoring
- Insights
- Online and offline evals
- Dataset collection
- Annotation queue (human feedback)
- Prompt Hub and Playground
- Bulk data export
- Unlimited agents
- LangSmith Studio
- Expose agent as MCP server
- Real-time streaming of intermediary steps and final output
- Agent Authorization (beta)
- Access to prebuilt templates
- Add tools with a remote MCP server
- Trigger agent via API
- Use LangChain models
- Auth proxy with custom callbacks
- Bring your own image
- Configurable TTLs
- Snapshot and fork to explore parallel branches
- Port tunneling to your local machine
- Sandbox CLI
- Scale to 1000s on demand
- Platform hosting option(s): Cloud
- Community Forum
Plus
- Up to 10k base traces / mo, then pay-as-you-go
- Access to Deployment, Engine, and more
- Add unlimited seats
- Tracing
- Monitoring
- Insights
- Online and offline evals
- Dataset collection
- Annotation queue (human feedback)
- Prompt Hub and Playground
- Bulk data export
- Unlimited agents
- LangSmith Studio
- Expose agent as MCP server
- Real-time streaming of intermediary steps and final output
- Agent Authorization (beta)
- 1-Click Deploy
- Horizontally-scalable service for dedicated deployments
- Server Scale-to-Zero when idle
- Assistants API
- 30+ API endpoints including state and memory
- Cron scheduling
- Authentication & authorization for LangGraph APIs
- Access to prebuilt templates
- Add tools with a remote MCP server
- Trigger agent via API
- Use LangChain models
- Share and clone agent templates
- Unlimited agents
- Monitor traces autonomously
- Cluster agent behavior into issues
- Diagnose code failures
- Recommend fixes to prompts and code
- Create datasets for human review
- Create offline and online evals to prevent repeated failures
- Auth proxy with custom callbacks
- Bring your own image
- Configurable TTLs
- Snapshot and fork to explore parallel branches
- Port tunneling to your local machine
- Sandbox CLI
- Scale to 1000s on demand
- Platform hosting option(s): Cloud
- SSO
- Role-Based Access Control
- Organization Roles (User and Admin)
- Community Forum
- Support Portal
- Email Support
Enterprise
- Self-hosted and hybrid deployment options
- Custom SSO and RBAC
- Support SLA
- Custom seats and workspaces
- Tracing
- Monitoring
- Insights
- Online and offline evals
- Dataset collection
- Annotation queue (human feedback)
- Prompt Hub and Playground
- Bulk data export
- Unlimited agents
- LangSmith Studio
- Expose agent as MCP server
- Real-time streaming of intermediary steps and final output
- Agent Authorization (beta)
- 1-Click Deploy
- Horizontally-scalable service for dedicated deployments
- Server Scale-to-Zero when idle
- Assistants API
- 30+ API endpoints including state and memory
- Cron scheduling
- Authentication & authorization for LangGraph APIs
- Access to prebuilt templates
- Add tools with a remote MCP server
- Trigger agent via API
- Use LangChain models
- Share and clone agent templates
- Unlimited agents
- Monitor traces autonomously
- Cluster agent behavior into issues
- Diagnose code failures
- Recommend fixes to prompts and code
- Create datasets for human review
- Create offline and online evals to prevent repeated failures
- Auth proxy with custom callbacks
- Bring your own image
- Configurable TTLs
- Snapshot and fork to explore parallel branches
- Port tunneling to your local machine
- Sandbox CLI
- Scale to 1000s on demand
- Platform hosting option(s): Cloud, Hybrid, or Self-Hosted
- SSO
- Role-Based Access Control
- Organization Roles (User and Admin)
- Community Forum
- Support Portal
- Email Support
- Slack
- Team trainings
- Architectural guidance for your applications
- Access to deployed engineers
- SLA
- Custom Terms
- Infosec Review
Pay as you go
- Universal-3.5 Pro ($0.21/hr)
- Universal-2 ($0.15/hr)
- Universal-3.5 Pro Realtime ($0.45/hr)
- Universal-Streaming ($0.15/hr)
- Universal-Streaming Multilingual ($0.15/hr)
- Sync API ($0.45/hr)
- Voice Agent API ($4.50/hr)
- Speaker Diarization ($0.02/hr pre-recorded, $0.12/hr realtime)
- Medical Mode ($0.15/hr)
- Keyterms Prompting
- Prompting ($0.05/hr)
- Speaker Identification ($0.02/hr)
- Translation ($0.06/hr)
- Custom Formatting ($0.03/hr)
- Entity Detection ($0.08/hr)
- Sentiment Analysis ($0.02/hr)
- Auto Chapters ($0.08/hr)
- Key Phrases ($0.01/hr)
- Topic Detection ($0.15/hr)
- Summarization ($0.03/hr)
- Profanity Filtering ($0.01/hr)
- PII Audio Redaction ($0.05/hr)
- PII Text Redaction ($0.08/hr)
- Content Moderation ($0.15/hr)
- LLM Gateway
- No minimum commitments
- No credit card required to start
Custom
- Custom rate limits
- Enhanced concurrency
- Enterprise-grade flexibility
- Volume-based pricing
- Custom starting concurrency limits
LangSmith vs AssemblyAI FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
- How do they charge?
- Different approach here. LangSmith uses hybrid pricing, while AssemblyAI goes with usage-based. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. LangSmith: At $39/seat they're not trying to be the cheapest LLM observability tool, but they're not swinging for premium either — it's a mid-market entry point aimed squarely at well-funded startups and growth-stage teams already in the LangChain ecosystem. The Startups program signals they're prioritizing ecosystem lock-in over near-term revenue. AssemblyAI: They're positioning as the developer-friendly, API-first alternative to Deepgram and Rev AI — competitive on price at scale but differentiated by the breadth of AI features (LLM Gateway, multichannel, etc.). The AWS Marketplace listing signals they're actively chasing enterprise procurement budgets.
Keep tabs on both.
We'll monitor pricing changes for LangSmith and AssemblyAI and let you know when something moves.