Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

Llama 3.2 11B Vision

A-TIER

Hugging Face Inference

Intelligence Score 82/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 3.2 11B Vision Wins

With an intelligence score of 82/100 vs 80/100, Llama 3.2 11B Vision outperforms DeepSeek-V4 Pro by 2 points.

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

Detailed Comparison

Feature
DeepSeek-V4 Pro
Llama 3.2 11B Vision
Context Window
128K 128k
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 Sep 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 300 Requests / hour
Daily Limit
Credit-based Dependent on global load
Capabilities
No specific data
Text Vision
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose 👁️ Vision & Multimodal
Model Size
Undisclosed 11B
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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