Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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

Replicate

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

Llama 3.1 70B

A-TIER

Lepton AI

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

Llama 3.1 70B Wins

With an intelligence score of 87/100 vs 76/100, Llama 3.1 70B outperforms mistralai/mistral-7b-instruct-v0.2 by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
Llama 3.1 70B
Context Window
32K tokens 8K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Varies by model 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
7b 70B
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization

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