Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 8K tokens
Pricing Model Commercial / Paid

Llama 4 Maverick 17B

A-TIER

Groq

Intelligence Score 89/100
Context Window 1k RPD, 6k TPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 4 Maverick 17B Wins

With an intelligence score of 89/100 vs 83/100, Llama 4 Maverick 17B outperforms meta/llama-3-70b-instruct by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
meta/llama-3-70b-instruct
Llama 4 Maverick 17B
Context Window
8K tokens 1k RPD, 6k TPM
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 2026 (Latest)
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) A-Tier (Excellent)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
70b 17B
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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