Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 405B

DEPRECATED

Venice.ai

This model is no longer active/free — kept for reference.

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

Qwen2.5 7B Instruct

SiliconFlow

Intelligence Score 71/100
Context Window
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 71/100, Llama 3.1 405B outperforms Qwen2.5 7B Instruct by 20 points.

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

Detailed Comparison

Feature
Llama 3.1 405B
Qwen2.5 7B Instruct
Context Window
128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~65-69%
Release Date
Jul 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) Fixed limits for free models — exact figures require login, verify on cloud.siliconflow.cn/models
Daily Limit
Limited daily usage Not fully published — verify on docs.siliconflow.cn
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
405B 7B
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Free model list not published without logging in — verify exact models/limits in your dashboard before relying on this provider
  • Requires identity verification, not just email signup
  • Reportedly unavailable in EU/UK/Switzerland
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • OpenAI-compatible endpoint
  • Mix of always-free and pay-per-token models
  • Some models free ($0) after identity verification

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