Claude alternatives: top competitors compared
Named alongside Claude
GitHub Copilot63% of Claude answersCursorBest forIndividual developers and engineering teams that hand coding tasks to AI agents, and larger organizations that need enterprise security and admin controls.61% of Claude answersLooker33% of Claude answersCodexBest forSoftware engineers who want an AI agent to handle coding tasks such as writing code and fixing bugs.32% of Claude answers
Data from SlateIndex weekly runs
Claude has a visibility score of 47.5 in AI Coding Assistants, #3 of 46. AI answers that name Claude most often also name these 4.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| GitHub Copilot | — | — | 76.5% | Built into GitHub's workflow, spanning GitHub.com, IDEs, the command line and mobile |
| Cursor | Individual developers and engineering teams that hand coding tasks to AI agents, and larger organizations that need enterprise security and admin controls. | — | 67.7% | Agents that use their own computers to build, test and demo features end to end for review. |
| Looker | — | — | 29.8% | A universal semantic layer defined once in LookML that grounds both human analysts and AI agents in a single source of truth. |
| Codex | Software engineers who want an AI agent to handle coding tasks such as writing code and fixing bugs. | — | 20.9% | Cloud tasks run in a sandboxed environment and return their changes as pull requests for review. |
Alternative 1
GitHub Copilot vs Claude →GitHub Copilot
GitHub Copilot is ranked #1 in AI Coding Assistants.
Quick facts
- Pricing not available
- 76.5% visibility score · #1 in AI Coding Assistants
Key features
- Copilot code completion and chat — AI code completion and chat inside supported IDEs and GitHub.
- Copilot coding agent — Runs tasks in a repository and opens pull requests.
- Copilot code review — AI review of pull requests, with pull request summaries generated for reviewers.
GitHub Copilot vs Claude
| Dimension | GitHub Copilot | Claude |
|---|---|---|
| Visibility score | 76.5% | 47.5% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Most widely used AI coding assistant
- Strong integrated editor completion and multi-file agent workflows across VS Code, JetBrains and GitHub
- Strong enterprise default with broad integration, governance and compliance
- Affordable, reliable choice at about $10 per month
- Free tier available for testing
Cons
- Usage-based credit system makes heavy agent use hard to predict
- Enterprise tiers require an underlying GitHub Enterprise account, raising effective cost
- Free tier allowance is limited
- Reportedly no longer offers annual billing after June 2026
Alternative 2
Cursor vs Claude →Cursor
Cursor suits individual developers and engineering teams that hand coding tasks to AI agents, and larger organizations that need enterprise security and admin controls..
Quick facts
- Pricing not available
- 67.7% visibility score · #2 in AI Coding Assistants
Key features
- Cursor Desktop — Desktop editor for agentic coding in a familiar IDE.
- Cursor CLI — Runs agents in any terminal, script or editor.
- Cloud agents — Agents that use their own computers to build, test and demo features for review, run in parallel.
- Bugbot — AI code reviews on pull requests.
Cursor vs Claude
| Dimension | Cursor | Claude |
|---|---|---|
| Visibility score | 67.7% | 47.5% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Strong codebase indexing and multi-file editing
- High user satisfaction and momentum
- Top overall pick for professional developers
- Transparent pricing tiers and annual discount
- Free tier to try it
Cons
- Shared credit pool makes heavy agentic usage less predictable
- Free Hobby plan has limited usage
Alternative 3
Looker vs Claude →Looker
Looker is ranked #3 in Business Intelligence.
Quick facts
- Pricing not available
- 29.8% visibility score · #3 in Business Intelligence
Key features
- Looker — Platform for business intelligence, data applications and embedded analytics, built on the LookML semantic layer.
- Looker Embedded — Low-code iframe embedding and SDKs for adding analytics and conversational AI to customer-facing applications.
- Conversational Analytics — Gemini-powered natural-language questions and Dashboard Agents grounded in the governed semantic layer.
- Looker Core on Google Cloud — Looker provisioned through the Google Cloud console with Google Cloud IAM, Private Service Connect and CMEK.
Looker vs Claude
| Dimension | Looker | Claude |
|---|---|---|
| Visibility score | 29.8% | 47.5% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
- Developer-centric data modeling via LookML
- Around 4.5 out of 5 stars on Gartner Peer Insights
Cons
- Quote-only enterprise pricing starting above $60,000 a year
- Poor fit for NoSQL-heavy data stacks or standalone embedded needs
- Less suited to teams using macOS without virtual machines
Alternative 4
Codex vs Claude →Codex
Codex suits software engineers who want an AI agent to handle coding tasks such as writing code and fixing bugs..
Quick facts
- Pricing not available
- 20.9% visibility score · #4 in AI Coding Assistants
Key features
- Codex CLI — Open-source, Apache-2.0 licensed command-line coding agent, written mostly in Rust.
- Codex cloud agent — Runs coding tasks in a sandboxed cloud environment and returns changes as pull requests for review.
- Codex IDE extension — Codex inside the integrated development environment.
- Codex desktop app — Desktop application for Codex, merged into the ChatGPT desktop app in July 2026.
Codex vs Claude
| Dimension | Codex | Claude |
|---|---|---|
| Visibility score | 20.9% | 47.5% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Strong for autonomous coding tasks
- Frequently included in top AI coding shortlists
- Enterprise-scale engineering adoption
- Deterministic multi-step task execution for OpenAI-first teams
- Delegated engineering tasks, code review, and cloud or parallel agent workflows
Cons
- Appears less consistently in enterprise analyst lists
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| Claude | — | — |
| GitHub Copilot | — | — |
| Cursor | — | — |
| Looker | — | — |
| Codex | — | — |
More alternatives
Ranked by how often AI answers name them alongside Claude in the latest weekly run.