Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen3.5 9B

OVH AI Endpoints

Intelligence Score 71/100

Model Popularity 0 votes

Context Window Long context

Pricing Model Free / Open

View Provider Analysis →

A-TIER

LLM7.io

Intelligence Score 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 80/100 vs 71/100, Mistral Nemo Instruct 2407 outperforms Qwen3.5 9B by 9 points.

HEAD-TO-HEAD

Feature	Qwen3.5 9B	Mistral Nemo Instruct 2407
Context Window	Long context	128K Context
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~65-69%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	2 RPM (Anonymous) / 400 RPM (Auth)	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	Unspecified	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	9B	Undisclosed
Limitations	Beta service, may end or change 2 requests/minute for anonymous usage Requires token for higher limits (400 RPM)	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	Data sovereignty (EU) Beta access to premium models Simple integration	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use