Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

Qwen-Plus

A-TIER

Qwen (Alibaba)

Intelligence Score 82/100
Context Window 32K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 82/100, Llama 3.1 405B Instruct outperforms Qwen-Plus by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B Instruct
Qwen-Plus
Context Window
128K 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~75-79%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM (varies by model) 60 RPM
Daily Limit
Credit-based (no daily cap) Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
General Purpose General Purpose
Model Size
405B Undisclosed
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Requires Alibaba Cloud account (Payment method)
  • Dashboard can be complex
  • Region selection matters
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Qwen Family: Top tier open weights
  • Multimodal capabilities (VL models)
  • Search Plugin integration

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