Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open
View Provider Analysis →

Llama 4 Scout (Fast)

A-TIER

Cerebras

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

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 87/100, Meta: Llama 3.3 70B Instruct (free) outperforms Llama 4 Scout (Fast) by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Meta: Llama 3.3 70B Instruct (free)
Llama 4 Scout (Fast)
Context Window
128k 8K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~80-84%
Release Date
Dec 2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 30 RPM
Daily Limit
50 requests/day (up to 1000 with $10 topup) 1,000,000 Tokens / Day
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B Undisclosed
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility

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