Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Llama 4 Scout Instruct (Free)

A-TIER

Together.AI

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 512K tokens
Pricing Model Free / Open
View Provider Analysis →

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Context Window 64K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 4 Scout Instruct (Free) Wins

With an intelligence score of 87/100 vs 85/100, Llama 4 Scout Instruct (Free) outperforms DeepSeek Coder V2 by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 4 Scout Instruct (Free)
DeepSeek Coder V2
Context Window
512K tokens 64K tokens
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~80-84% ~80-84%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Subject to availability Hardware limited
Daily Limit
Unlimited (Research Preview) Unlimited
Capabilities
Multimodal
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
Undisclosed Undisclosed
Limitations
  • Limited to specific free models
  • Research preview availability
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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