Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek: R1 Distill Llama 70B (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open

Qwen-Turbo

Qwen (Alibaba)

Intelligence Score 78/100
Context Window 32K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

DeepSeek: R1 Distill Llama 70B (free) Wins

With an intelligence score of 83/100 vs 78/100, DeepSeek: R1 Distill Llama 70B (free) outperforms Qwen-Turbo by 5 points.

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

Detailed Comparison

Feature
DeepSeek: R1 Distill Llama 70B (free)
Qwen-Turbo
Context Window
128k 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~70-74%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 60 RPM
Daily Limit
50 requests/day (up to 1000 with $10 topup) Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
70B Undisclosed
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Requires Alibaba Cloud account (Payment method)
  • Dashboard can be complex
  • Region selection matters
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Qwen Family: Top tier open weights
  • Multimodal capabilities (VL models)
  • Search Plugin integration

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