Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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This model is no longer active/free — kept for reference.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
View Provider Analysis →

Meta: Llama 4 Scout (free)

A-TIER

OpenRouter

Intelligence Score 87/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Meta: Llama 4 Scout (free) Wins

With an intelligence score of 87/100 vs 86/100, Meta: Llama 4 Scout (free) 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
Meta: Llama 4 Scout (free)
Context Window
32K 128k
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 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
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
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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