Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mixtral 8x7B

A-TIER

Mistral (La Plateforme)

Intelligence Score 86/100
Model Popularity 0 votes
Context Window 32k
Pricing Model Free / Open
View Provider Analysis →

Llama 3 8B Instruct

BentoML

Intelligence Score 71/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Mixtral 8x7B Wins

With an intelligence score of 86/100 vs 71/100, Mixtral 8x7B outperforms Llama 3 8B Instruct by 15 points.

Clear Winner: Significant performance advantage for Mixtral 8x7B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x7B
Llama 3 8B Instruct
Context Window
32k 8K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
1 request/second Hardware dependent
Daily Limit
- Unlimited
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 8B
Limitations
  • Phone verification required
  • Data training opt-in required
  • 1 request/second rate limit
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • Access to Mistral's open-weight models
  • OpenAI-compatible API endpoints
  • Function calling support
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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