Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Commercial / Paid

Llama 3.2 3B

Ollama

Intelligence Score 75/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 75/100, Mixtral 8x7B Instruct outperforms Llama 3.2 3B by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x7B Instruct
Llama 3.2 3B
Context Window
32K 128K tokens
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~70-74%
Release Date
2024 Sep 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Hardware limited
Daily Limit
Credit-based Unlimited
Capabilities
Multilingual
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7B 3B
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

Similar Comparisons