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Llama vs Cursor

Llama (Meta) vs Cursor (Anysphere) — scored across 9 dimensions by our editorial team. Last reviewed 2026-05-14 and 2026-05-26.

Llama

Meta

8.7

Meta's open-weights model family, the foundation of much of the OSS AI world.

Pick Llama over Cursor if you need: Self-hosted deployments or Fine-tuning.

Cursor

Anysphere

9.2

An AI-first IDE built around agentic coding, multi-file edits and inline chat.

Pick Cursor over Llama if you need: Agentic coding or Refactoring.

Full comparison table

Dimension
Llama
Meta
Cursor
Anysphere
Basics
Company
Meta
Anysphere
Released
2023-02-24
2023-03-14
Latest Version
Llama 4
Cursor 1.x
Capabilities
Text Generation
9.0
8.0
Code Generation
8.0
10.0
Image Understanding
8.0
7.0
Web Browsing
6.0
7.0
Multimodal
8.0
7.0
Long Context
9.0
9.0
Reasoning
8.0
9.0
Fit
Best Use Cases
Self-hosted deploymentsFine-tuningResearch
Agentic codingRefactoringCodebase Q&A
Best For
ML engineersPrivacy-sensitive enterprisesResearchers
Indie developersStartup engineersAI tinkerers
Pricing
Free Tier
Free open weights (with license)
Hobby: limited slow requests
Paid Plan
Free
Pro: $20/month
API Pricing
Free weights; pay your own infra
Bring your own key (Claude/GPT)
Enterprise
Free under Llama Community License
Business $40/user
Benchmarks
MMLU Score
87
86
HumanEval (Coding)
88
92
GSM8K (Math)
92
90
Context Window
1.0M tokens
200K tokens
Languages
English
high
high
Chinese
medium
medium
Multilingual
high
medium
Editorial
Overall Score
8.7
9.2
Value for Money
9.5
8.8
Accuracy
8.5
9.0
Ease of Use
6.0
9.0

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Disclosure: this page does not contain paid placements. Scores are editorial. See our editorial policy.

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