Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 (Any Size)

LM Studio

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

DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100
Context Window 164K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V3.2 Wins

With an intelligence score of 94/100 vs 65/100, DeepSeek V3.2 outperforms Llama 3.1 (Any Size) by 29 points.

Clear Winner: Significant performance advantage for DeepSeek V3.2.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 (Any Size)
DeepSeek V3.2
Context Window
Varies 164K Context
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~60-64% ~88-91%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 60 RPM
Daily Limit
Unlimited Credit-based
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Closed source application
  • Large downloads
  • Hardware dependent performance
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Model Discovery: Built-in search of HuggingFace
  • GGUF Support: Optimized quantized models
  • GPU Offload: Mix CPU/GPU layers
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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