Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5 Coder 32B

A-TIER

SambaNova Cloud

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 32k Context
Pricing Model Commercial / Paid

Llama 3.1 405B

S-TIER

Venice.ai

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

Llama 3.1 405B Wins

With an intelligence score of 91/100 vs 89/100, Llama 3.1 405B outperforms Qwen 2.5 Coder 32B by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 Coder 32B
Llama 3.1 405B
Context Window
32k Context 128K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~85-87%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model 10 RPM (free tier)
Daily Limit
Dependent on credits Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
💻 Code Generation General Purpose
Model Size
32B 405B
Limitations
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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