Browser Use
Browser Use
18
Let agents drive a real browser
- Version
- API V4
- Cost
- Free tier · from $5/mo
- Model
- Bring your own key
LangChain
LangChain · #8 most active of 22 in Agents & Automation
Open-source orchestration for chains, agents and retrieval, plus hosted tracing.
100
Trust score · Verified
3 data points checked · 2026-09-11
Current version
LangSmith Cloud
Entry cost
Free tier · from $39/mo
Changes / 30d
3
The short answers · verified September 15, 2026
- What is the latest version of LangChain?
- The current shipped version of LangChain is LangSmith Cloud, as of September 15, 2026.
- How much does LangChain cost?
- LangChain starts at $39 per month on its cheapest paid tier, as of September 15, 2026.
- What AI model does LangChain use?
- LangChain runs primarily on Bring your own key.
Source: LangChain — changelog.langchain.com · Reusable under CC BY 4.0 — cite Tomorrow
Capabilities
- Agent abstractions
- LangGraph orchestration
- LangSmith tracing
- Evaluations
- Deployment
- Tracing
- Monitoring
- Evaluation
- LLM Gateway
- LangSmith Fleet
- LangSmith Engine
- LangSmith Sandboxes
- Prompt Hub
- Tracing & Observability
- Online & Offline Evals
- Dataset Management
- LangSmith Deployment
- Prompt Hub & Playground
- Playground
- Sandboxes
- LangGraph Deployment
- Dataset & Experiments
- Monitoring & Alerting
- Evaluations & Datasets
- Annotation Queue
- Deep Agents Framework
- Observability
- Prompt Hub and Playground
- Observability & Evaluation
- Fleet
- Engine
- Deployments
- Insights
- Evals
- No-Code Fleet Agents
- Agent Improvement Engine
- Monitoring & Insights
- Online and offline evals
- Dataset collection
- Annotation queue
- LangSmith LLM Gateway
- Agent Deployment
- Prompt Playground
- Engine (Autonomous Evals)
- No-Code Agents Fleet
- Fleet Agents
- Engine Autonomous Fixes
- Tuned Evaluators
- No-Code Agents
- No-Code Agents (Fleet)
- Agent Infrastructure
- Fleet (No-code agents)
- Engine (Autonomous fix)
- Engine (Autononmous Fixes)
- Datasets
- Dataset Collection
- Engine (Autonomous eval)
Pricing
Developer
1 seat, up to 5k base traces/mo, community support
Free
Plus
Unlimited seats, $39/seat/mo, up to 10k base traces/mo, access to Deployment, Engine, etc. plus usage fees
$39
Enterprise
Custom pricing, self-hosted/hybrid options, custom SSO, support SLA
Free
Entry price over time
4 of 30 points reconstructed from Internet Archive captures (hollow dots) — dated by capture, not by when we first saw the page. View a capture
Geek mode
Models under the hood
- disclosed
Bring your own key
Any
- disclosed
Claude Fable 5.1
Anthropic
- disclosed
GPT-5.6 Luna
OpenAI
- disclosed
GPT-5.6 Sol
OpenAI
- disclosed
GPT-5.6 Terra
OpenAI
- inferred
LLM Gateway (supports various model providers)
Provider undisclosed
Context window
Depends on chosen model
Public API
yes
Multi-model routing
yes
Stack signals
- ClickHouse
- Redis
Shared model stack
Other tracked products running on the same foundation models — a quick read on how much of the catalog moves when one of these models changes.
- GPT-5.6 Sol+1 aliasOpenAI · 7 products
- Claude Fable 5.1+1 aliasAnthropic · 6 products
- GPT-5.6 LunaOpenAI · 6 products
- GPT-5.6 TerraOpenAI · 5 products
- Bring your own keyAny · 3 products
- LLM Gateway (supports various model providers)Provider undisclosed · 1 product
green disclosed · amber inferred · grey unattributed. Aliases are folded into one model; provider concentration counts only models with an established vendor.
Reported scale
Reference data. Each figure is whatever the source actually said — weekly users, downloads, revenue run-rate — with its own definition and date. These are not comparable between tools and are never used to rank anything.
- Public registry
GitHub stars
143k
stars
as of Aug 2026·GitHub repository ·disclosed
- Public registry
Package downloads
70M
downloads / mo
Developer-side proxy only.
as of Jun 2025·PyPI + npm download stats ·disclosed
Also in Agents & Automation
All Agents & AutomationCopilot Studio
MicrosoftUnited States
9
Build enterprise agents
- Version
- GPT-5 in Copilot Studio
- Cost
- from $30/mo
- Model
- Anthropic lineup
AutoGLM
Zhipu AIChina
7
Phone and browser agent that drives real apps.
- Version
- GLM-5.3
- Cost
- from $18/mo
- Model
- AutoGLM-Phone-Multilingual
ChatGPT Agent
OpenAI
7
Browser-using assistant
- Version
- gpt-6-astra
- Cost
- from $20/mo
- Model
- GPT-5.2
LangGraph
LangChainUnited States
4
Stateful agent runtime
- Version
- LangGraph
- Cost
- LangGraph is an MIT-licensed open-source library and is free to use.
- Model
- Model-agnostic
Zapier Agents
Zapier
4
Agents across 8000 apps
- Version
- Agents
- Cost
- Free tier · from $19.99/mo
- Model
- task management
Elsewhere on the same models
Products in other segments that name one of LangChain's models in their stack.
Windsurf
Cognition
14
Agentic IDE with flow awareness
- Version
- 3.10.27
- Cost
- Free tier available, sign up for free. Paid plans exist (mention of paying users, Teams, and Enterprise ACU limits) but pricing is not published in the source.
- Model
- Claude Fable 5.1
Change history
- capability
- model
LangChain added Claude Fable 5.1 to its model stack
Bring your own key, GPT-5.6 Luna, GPT-5.6 Sol, GPT-5.6 Terra, LLM Gateway (supports various model providers)Bring your own key, Claude Fable 5.1, GPT-5.6 Luna, GPT-5.6 Sol, GPT-5.6 Terra, LLM Gateway (supports various model providers)
source - capability
- capability
- capability
New capabilities: Engine (Autononmous Fixes)
53 tracked54 tracked · +Engine (Autononmous Fixes)
source - capability
New capabilities: Fleet (No-code agents), Engine (Autonomous fix)
51 tracked53 tracked · +Fleet (No-code agents), Engine (Autonomous fix)
source - capability
- capability
- capability
- capability
- capability
New capabilities: Fleet Agents, Engine Autonomous Fixes
45 tracked47 tracked · +Fleet Agents, Engine Autonomous Fixes
source - model
LangChain added GPT-5.6 Luna, GPT-5.6 Sol, GPT-5.6 Terra to its model stack
Bring your own key, LLM Gateway (supports various model providers)Bring your own key, GPT-5.6 Luna, GPT-5.6 Sol, GPT-5.6 Terra, LLM Gateway (supports various model providers)
source - capability
- capability
- capability
New capabilities: Agent Deployment, Prompt Playground
41 tracked43 tracked · +Agent Deployment, Prompt Playground
source - capability
New capabilities: Monitoring & Insights, Online and offline evals, Dataset collection
36 tracked41 tracked · +Monitoring & Insights, Online and offline evals, Dataset collection, Annotation queue, LangSmith LLM Gateway
source - capability
New capabilities: No-Code Fleet Agents, Agent Improvement Engine
34 tracked36 tracked · +No-Code Fleet Agents, Agent Improvement Engine
source - capability
- capability
- capability
- capability
- version
- model
LangChain added LLM Gateway (supports various model providers) to its model stack
Bring your own keyBring your own key, LLM Gateway (supports various model providers)
source - capability
- capability
- version
- capability
- capability
- capability
- version
- capability
- capability
New capabilities: MCP Adapters, Deep Agents Sandboxes, LangSmith Integration
3 tracked6 tracked · +MCP Adapters, Deep Agents Sandboxes, LangSmith Integration
source - version
- capability
New capabilities: agent development, structured output, context-aware agents
3 tracked6 tracked · +agent development, structured output, context-aware agents
source - version
- capability
New capabilities: agent framework, orchestration, autonomous agents
3 tracked6 tracked · +agent framework, orchestration, autonomous agents
source - version
- capability
New capabilities: Middleware, Agents, LangChain 1.0 alpha
2 tracked5 tracked · +Middleware, Agents, LangChain 1.0 alpha
source
LangChain compared
Straight head-to-head pages against the busiest products in Agents & Automation.
How to cite this page
Free to cite and reuse under CC BY 4.0. Permalink: https://tomorrow.aliensquad.ai/tools/langchain
APA
Tomorrow. (2026). LangChain — version, pricing and model stack [Data set entry]. AlienSquad. Retrieved 2026-09-17, from https://tomorrow.aliensquad.ai/tools/langchain
BibTeX
@misc{tomorrow-tools-langchain,
author = {{Tomorrow}},
title = {LangChain — version, pricing and model stack},
year = {2026},
publisher = {AlienSquad},
howpublished = {\url{https://tomorrow.aliensquad.ai/tools/langchain}},
note = {Accessed: 2026-09-17}
}