Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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This model is no longer active/free — kept for reference.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

mistralai/mistral-7b-instruct-v0.2

Replicate

Intelligence Score 76/100
Context Window 32K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 76/100, Mixtral 8x7B Instruct outperforms mistralai/mistral-7b-instruct-v0.2 by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x7B Instruct
mistralai/mistral-7b-instruct-v0.2
Context Window
32K 32K tokens
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~70-74%
Release Date
2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based Credit-based
Capabilities
Multilingual
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 7b
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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