Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Mixtral 8x7B Instruct

DEPRECATED

Friendli AI

This model is no longer active/free — kept for reference.

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

Llama 4 Scout (Fast)

A-TIER

Cerebras

Intelligence Score 87/100
Context Window 8K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 4 Scout (Fast) Wins

With an intelligence score of 87/100 vs 86/100, Llama 4 Scout (Fast) outperforms Mixtral 8x7B Instruct by 1 point.

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

Detailed Comparison

Feature
Mixtral 8x7B Instruct
Llama 4 Scout (Fast)
Context Window
32K 8K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 2026 (Latest)
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 5 RPM
Daily Limit
Credit-based 1M tokens/day
Capabilities
Multilingual
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B Undisclosed
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility

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