Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek: R1 (free)

OpenRouter

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open
View Provider Analysis →

Qwen3.5 72B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 83/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen3.5 72B Instruct Wins

With an intelligence score of 83/100 vs 65/100, Qwen3.5 72B Instruct outperforms DeepSeek: R1 (free) by 18 points.

Clear Winner: Significant performance advantage for Qwen3.5 72B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek: R1 (free)
Qwen3.5 72B Instruct
Context Window
128k 128K
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 300 Requests / hour
Daily Limit
50 requests/day (up to 1000 with $10 topup) Dependent on global load
Capabilities
No specific data
Chinese
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Fast
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed 72B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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