Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Free / Open

Mixtral 8x7B Instruct

A-TIER

Friendli AI

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

Llama 3.1 70B Instruct Wins

With an intelligence score of 88/100 vs 86/100, Llama 3.1 70B Instruct outperforms Mixtral 8x7B Instruct by 2 points.

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

Detailed Comparison

Feature
Llama 3.1 70B Instruct
Mixtral 8x7B Instruct
Context Window
128K 32K
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~80-84% ~80-84%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies (community capacity) 60 RPM
Daily Limit
Subject to availability Credit-based
Capabilities
No specific data
Multilingual
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B 7B
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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