Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 8B (Fast)

Cerebras

Intelligence Score 78/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Free / Open

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 78/100, Meta: Llama 3.3 70B Instruct (free) outperforms Llama 3.1 8B (Fast) by 16 points.

Clear Winner: Significant performance advantage for Meta: Llama 3.3 70B Instruct (free).
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 8B (Fast)
Meta: Llama 3.3 70B Instruct (free)
Context Window
8K 128k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~88-91%
Release Date
Jul 2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 20 requests/minute
Daily Limit
1,000,000 Tokens / Day 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
âš¡ Very Fast âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
8B 70B
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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