Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 70B (Fast)

A-TIER

Cerebras

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

Llama 4 Scout

A-TIER

Groq

Intelligence Score 87/100
Context Window 1k RPD, 30k TPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 70B (Fast) Wins

Equal intelligence scores (87/100), but Llama 3.1 70B (Fast) offers a significantly larger context window.

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

Detailed Comparison

Feature
Llama 3.1 70B (Fast)
Llama 4 Scout
Context Window
8K 1k RPD, 30k TPM
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~80-84%
Release Date
Jul 2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 30 RPM, 14.4k RPD
Daily Limit
1,000,000 Tokens / Day 14,400 Requests/Day
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B Undisclosed
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Test
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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