Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5 VL 72B Instruct (free)

DEPRECATED

OpenRouter

This model is no longer active/free — kept for reference.

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 32k
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

DEPRECATED

Venice.ai

This model is no longer active/free — kept for reference.

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 83/100, Llama 3.1 405B outperforms Qwen 2.5 VL 72B Instruct (free) by 8 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 VL 72B Instruct (free)
Llama 3.1 405B
Context Window
32k 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~85-87%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 10 RPM (free tier)
Daily Limit
50 requests/day (up to 1000 with $10 topup) Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Fast 🐢 Slower (Reasoning)
Primary Use Case
👁️ Vision & Multimodal General Purpose
Model Size
72B 405B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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