Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Model Popularity 0 votes
Context Window 64K tokens
Pricing Model Free / Open
View Provider Analysis →

Llama 4 Scout Instruct (Free)

A-TIER

Together.AI

Intelligence Score 87/100
Context Window 512K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 4 Scout Instruct (Free) Wins

With an intelligence score of 87/100 vs 85/100, Llama 4 Scout Instruct (Free) outperforms DeepSeek Coder V2 by 2 points.

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

Detailed Comparison

Feature
DeepSeek Coder V2
Llama 4 Scout Instruct (Free)
Context Window
64K tokens 512K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited Subject to availability
Daily Limit
Unlimited Unlimited (Research Preview)
Capabilities
No specific data
Multimodal
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
💻 Code Generation General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Limited to specific free models
  • Research preview availability
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • Host of specific free research models
  • Open-weight model hosting
  • Access to ServiceNow Apriel models

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