Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B (Fast)

DEPRECATED

Cerebras

This model is no longer active/free — kept for reference.

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Free / Open
View Provider Analysis →

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

Replicate

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

Llama 3.1 70B (Fast) Wins

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

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (Fast)
mistralai/mistral-7b-instruct-v0.2
Context Window
8K 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~70-74%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) Varies by model
Daily Limit
1M tokens/day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B 7b
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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