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 70B

A-TIER

Lepton AI

Intelligence Score 87/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 Coder 32B Wins

With an intelligence score of 89/100 vs 87/100, Qwen 2.5 Coder 32B outperforms Llama 3.1 70B 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 70B
Context Window
32k Context 8K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~80-84%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
Varies by model 60 RPM
Daily Limit
Dependent on credits Credit-based
Capabilities
No specific data
Reasoning
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium âš¡ Fast
Primary Use Case
💻 Code Generation General Purpose
Model Size
32B 70B
Limitations
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
Key Strengths
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization

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