Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 8B

Groq

Intelligence Score 78/100
Model Popularity 0 votes
Context Window 14.4k RPD, 6k TPM
Pricing Model Free / Open

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

Replicate

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

Llama 3.1 8B Wins

With an intelligence score of 78/100 vs 76/100, Llama 3.1 8B outperforms mistralai/mistral-7b-instruct-v0.2 by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 8B
mistralai/mistral-7b-instruct-v0.2
Context Window
14.4k RPD, 6k TPM 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~70-74%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM, 14.4k RPD Varies by model
Daily Limit
14,400 Requests/Day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
8B 7b
Limitations
  • Test
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

Similar Comparisons