LangGraph vs Temporal: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for LangGraph and Temporal side by side. This page compares data; it is not a hands-on review.
On the data: On the data below, LangGraph leads on a free plan. We do not name an overall winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
LangGraph
Build robust, stateful, and multi-actor applications with cyclical computational graphs.
Best for you if:
- • You want a fully free tool (Temporal requires payment)
Temporal
Durable execution for microservices
| At a Glance | Temporal | |
|---|---|---|
Starts at | Free 100% free | Not published |
Category | Workflow Automation Developer Tools | Workflow Automation Developer Tools |
Rating | n/a | 4.3/5 PeerSpot 4.3 18 reviews |
Free plan | Yes | No |
Watch out for | n/a | Storage and support are additional to Actions. |
Choose LangGraph or Temporal?
Choose LangGraph if
- You want a fully free tool (Temporal requires payment)
- You want a tool that allows for more sophisticated and robust AI agent design
- You want a tool that manages state effectively across multiple computational steps
Choose Temporal if
- You need workflow automation features specifically.
In-Depth Analysis
LangGraph
Build robust, stateful, and multi-actor applications with cyclical computational graphs.
Strengths
- Pro: Allows for more sophisticated and robust AI agent design
- Pro: Manages state effectively across multiple computational steps
- Pro: Provides a structured approach to complex AI workflows
- Pro: Extends existing LangChain capabilities for advanced use cases
Weaknesses
- Con: Requires familiarity with LangChain and LCEL
- Con: Complexity can be higher than linear chains for simple tasks
Key features
Temporal
Durable execution for microservices
Temporal Cloud has no permanent free plan.
Watch out
Storage and support are additional to Actions.
Strengths
- Pro: Durable execution platform
- Pro: Workflow orchestration
- Pro: Fault tolerant
- Pro: Multi-language
- Pro: Active development
Weaknesses
- Con: Learning curve
- Con: Complex concepts
- Con: Self-hosting complex
- Con: Cloud expensive
- Con: Overkill for simple workflows
Key features
Plans and prices: LangGraph vs Temporal
| Tool | Plans and prices | Source |
|---|---|---|
| LangGraph | No plan prices on file | langchain-ai.github.io/langgraph |
| Temporal |
| temporal.io/pricing read Nov 11, 2026 |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on LangGraph pricing and Temporal pricing.
Key Takeaways
LangGraph
- Has a free plan
Temporal
- Worth considering for workflow automation
What the data shows
On the data below, LangGraph leads on a free plan. We do not name an overall winner for this pair.
- Only Temporal has a published user rating (4.3/5 from 18 reviews); LangGraph has none we can show.
- Only LangGraph has a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do LangGraph and Temporal compare in 2026?
On the data below, LangGraph leads on a free plan. We do not name an overall winner for this pair. Only Temporal has a published user rating (4.3/5 from 18 reviews); LangGraph has none we can show. Only LangGraph has a free plan.
What are LangGraph and Temporal used for?
LangGraph: Build robust, stateful, and multi-actor applications with cyclical computational graphs. Temporal: Durable execution for microservices.
What does LangGraph cost vs Temporal?
LangGraph is free. Temporal has no public paid-plan price on file. Prices read on the vendors' pricing pages, latest check Nov 11, 2026.
What's the main difference between LangGraph and Temporal?
LangGraph's main strength: allows for more sophisticated and robust AI agent design. Temporal's main strength: durable execution platform.
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