Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mistral 7B Instruct v0.2

Cloudflare Workers AI

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 76/100, Llama 3.1 405B outperforms Mistral 7B Instruct v0.2 by 15 points.

Clear Winner: Significant performance advantage for Llama 3.1 405B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral 7B Instruct v0.2
Llama 3.1 405B
Context Window
32K 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 10 RPM (free tier)
Daily Limit
10,000 neurons/day Limited daily usage
Capabilities
Multilingual
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
7B 405B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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