Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek Coder 6.7B

A-TIER

Cloudflare Workers AI

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 16K
Pricing Model Free / Open
View Provider Analysis →

Qwen 2.5 VL 72B Instruct (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 VL 72B Instruct (free) Wins

Equal intelligence scores (83/100), but Qwen 2.5 VL 72B Instruct (free) offers a significantly larger context window.

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

Detailed Comparison

Feature
DeepSeek Coder 6.7B
Qwen 2.5 VL 72B Instruct (free)
Context Window
16K 32k
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies by model 20 requests/minute
Daily Limit
10,000 neurons/day 50 requests/day (up to 1000 with $10 topup)
Capabilities
Code
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
💻 Code Generation 👁️ Vision & Multimodal
Model Size
6.7B 72B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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