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 3.3 70B

S-TIER

Groq

Intelligence Score 94/100
Context Window 1k RPD, 12k TPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.3 70B Wins

With an intelligence score of 94/100 vs 76/100, Llama 3.3 70B outperforms mistralai/mistral-7b-instruct-v0.2 by 18 points.

Clear Winner: Significant performance advantage for Llama 3.3 70B.
HEAD-TO-HEAD

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
Llama 3.3 70B
Context Window
32K tokens 1k RPD, 12k TPM
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model 30 RPM, 14.4k RPD
Daily Limit
Credit-based 14,400 Requests/Day
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
⚡ Very Fast ⚡ 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
  • Test
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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