Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.3 70B

DEPRECATED

Groq

This model is no longer active/free — kept for reference.

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 1k RPD, 12k TPM
Pricing Model Free / Open
View Provider Analysis →

Mistral Nemo Instruct 2407

A-TIER

LLM7.io

Intelligence Score 80/100
Context Window 128K Context
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.3 70B Wins

With an intelligence score of 94/100 vs 80/100, Llama 3.3 70B outperforms Mistral Nemo Instruct 2407 by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.3 70B
Mistral Nemo Instruct 2407
Context Window
1k RPD, 12k TPM 128K Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~75-79%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM, 14.4k RPD 30 RPM (no signup) / 120 RPM (free email token)
Daily Limit
14,400 Requests/Day Up to 5M tokens/day (rolling 24h, with free token)
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B Undisclosed
Limitations
  • Test
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use

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