Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemma 4 31B (preview)

SambaNova Cloud

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Long context
Pricing Model Free / Open

DeepSeek Coder V2

A-TIER

Ollama

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

DeepSeek Coder V2 Wins

With an intelligence score of 85/100 vs 65/100, DeepSeek Coder V2 outperforms Gemma 4 31B (preview) by 20 points.

Clear Winner: Significant performance advantage for DeepSeek Coder V2.
HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 4 31B (preview)
DeepSeek Coder V2
Context Window
Long context 64K tokens
Architecture
Transformer Dense Transformer
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2024
Pricing Model
Free Tier 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
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
31B 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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