Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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No matches found

Llama 3.1 (Any Size)

LM Studio

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Varies
Pricing Model Free / Open

DeepSeek Coder V2

A-TIER

Ollama

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

DeepSeek Coder V2 Wins

With an intelligence score of 85/100 vs 65/100, DeepSeek Coder V2 outperforms Llama 3.1 (Any Size) by 20 points.

Clear Winner: Significant performance advantage for DeepSeek Coder V2.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 (Any Size)
DeepSeek Coder V2
Context Window
Varies 64K tokens
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~60-64% ~80-84%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited Hardware limited
Daily Limit
Unlimited Unlimited
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
Undisclosed Undisclosed
Limitations
  • Closed source application
  • Large downloads
  • Hardware dependent performance
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Model Discovery: Built-in search of HuggingFace
  • GGUF Support: Optimized quantized models
  • GPU Offload: Mix CPU/GPU layers
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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