Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Mistral 7B

Lepton AI

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Commercial / Paid

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 76/100, Qwen 2.5 72B Instruct outperforms Mistral 7B by 15 points.

Clear Winner: Significant performance advantage for Qwen 2.5 72B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mistral 7B
Qwen 2.5 72B Instruct
Context Window
8K 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~85-87%
Release Date
2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Varies (community capacity)
Daily Limit
Credit-based Subject to availability
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 72B
Limitations
  • Credits needed for production volume
  • Smaller model selection than aggregators
  • Focus on deployment over just API
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Standard OpenAI-compatible APIs
  • Deploy custom models with one command
  • High throughput optimization
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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