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

Llama 4 Scout (Fast)

A-TIER

Cerebras

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

Llama 4 Scout (Fast) Wins

With an intelligence score of 87/100 vs 78/100, Llama 4 Scout (Fast) outperforms Llama 3.1 8B by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 8B
Llama 4 Scout (Fast)
Context Window
14.4k RPD, 6k TPM 8K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~80-84%
Release Date
Jul 2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM, 14.4k RPD 30 RPM
Daily Limit
14,400 Requests/Day 1,000,000 Tokens / Day
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
8B Undisclosed
Limitations
  • Test
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility

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