Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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mistralai/mistral-7b-instruct-v0.2

Replicate

Intelligence Score 76/100
Model Popularity 0 votes
Context Window 32K tokens
Pricing Model Commercial / Paid
View Provider Analysis →

Qwen3Guard-Gen-0.6B (Beta)

OVH AI Endpoints

Intelligence Score 65/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

mistralai/mistral-7b-instruct-v0.2 Wins

With an intelligence score of 76/100 vs 65/100, mistralai/mistral-7b-instruct-v0.2 outperforms Qwen3Guard-Gen-0.6B (Beta) by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
mistralai/mistral-7b-instruct-v0.2
Qwen3Guard-Gen-0.6B (Beta)
Context Window
32K tokens 32K tokens
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~60-64%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Varies by model 2 RPM (Anonymous) / 400 RPM (Auth)
Daily Limit
Credit-based Unspecified
Capabilities
No specific data
Text
Performance Tier
B-Tier (Strong) C-Tier (Good)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7b 0.6B
Limitations
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
  • Beta service, may end or change
  • 2 requests/minute for anonymous usage
  • Requires token for higher limits (400 RPM)
Key Strengths
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models
  • Data sovereignty (EU)
  • Beta access to premium models
  • Simple integration

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