Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 4 Maverick 17B

A-TIER

Groq

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 1k RPD, 6k TPM
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

Llama 4 Maverick 17B Wins

With an intelligence score of 89/100 vs 85/100, Llama 4 Maverick 17B 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
Llama 4 Maverick 17B
DeepSeek Coder V2
Context Window
1k RPD, 6k TPM 64K tokens
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~80-84% ~80-84%
Release Date
2026 (Latest) 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM, 14.4k RPD Hardware limited
Daily Limit
14,400 Requests/Day Unlimited
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose 💻 Code Generation
Model Size
17B Undisclosed
Limitations
  • Test
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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