Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Llama 3 8B Quant

GPT4All

Intelligence Score 71/100
Model Popularity 0 votes
Context Window Local
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 71/100, Meta: Llama 3.3 70B Instruct (free) outperforms Llama 3 8B Quant by 23 points.

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

Detailed Comparison

Feature
Llama 3 8B Quant
Meta: Llama 3.3 70B Instruct (free)
Context Window
Local 128k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~65-69% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent 20 requests/minute
Daily Limit
Unlimited 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
8B 70B
Limitations
  • Slower than GPU inference
  • Limited to supported quantized formats
  • UI is basic
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • LocalDocs: Chat with your files privately
  • Nomic Embed Text: High quality embeddings
  • CPU Optimized (AVX2)
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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