Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Context Window 64K tokens
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 Coder 32B Wins

With an intelligence score of 89/100 vs 85/100, Qwen 2.5 Coder 32B outperforms DeepSeek Coder V2 by 4 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
DeepSeek Coder V2
Context Window
32k Context 64K tokens
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~80-84% ~80-84%
Release Date
Sep-Nov 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model Hardware limited
Daily Limit
Dependent on credits Unlimited
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
💻 Code Generation 💻 Code Generation
Model Size
32B Undisclosed
Limitations
  • Free credits are one-time for new users
  • Context window varies by model (8k - 128k)
  • Rate limits apply to free tier
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • SambaNova SN40L RDU Chip
  • Dataflow Architecture
  • Record-Breaking Speed
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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