Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5

LLM7.io

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 65/100, Llama 3.1 405B outperforms Qwen 2.5 by 26 points.

Clear Winner: Significant performance advantage for Llama 3.1 405B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5
Llama 3.1 405B
Context Window
32K 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~85-87%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) 10 RPM (free tier)
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 405B
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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