Context Window
Which LLM context windowfits your use case?
Compare context windows, rank models by use case, and calculate how much Mem0 can reduce your token usage.
What you get
Every LLM context window, ranked and ready
Browse every model by how much text it can handle, find the right one for your use case, and see how Mem0 reduces what you need to send.
Models indexed
1080+
Providers covered
37
Largest context
10M
Use-case rankings
8
Context window spectrum
Models grouped by how much text they can handle
Largest: Llama 4 Scout 17b 128e Instruct Maas at 10M tokens
Rankings by use case
The right model depends on more than size. See what actually works for each job.
- RAGBest context for retrieval
- AI AgentsSupports tools and actions
- DocumentsRead entire files at once
- ChatbotsFast and conversational
Mem0 cuts context by ~80%
Mem0 remembers what matters so you don't have to send the full history every time. Smaller requests means faster, cheaper AI.
All Models
Rankings
Models ranked by use case
Not all models are equal for every job. Pick the ranking that matches what you're building.
Largest Context Window
1080Models ranked by maximum context window size.
Best for RAG
1080Models best suited for Retrieval-Augmented Generation workloads.
Best for AI Agents
1080Models with the capabilities needed to power autonomous agent workflows.
Best for Document Processing
1080Models with large enough context to process long documents in one pass.
Best Value per Context Token
1080Models offering the most context window per dollar of input cost.
Best Multimodal
1080Vision-capable models with the largest context windows.
Best Reasoning
1080Models with extended thinking or strong reasoning capabilities.
Best for Chatbots
1080Fast, cost-efficient models ideal for real-time conversational applications.
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model