Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mistral Nemo

A-TIER

Mistral (La Plateforme)

Intelligence Score 80/100

Model Popularity 0 votes

Context Window 128k

Pricing Model Free / Open

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A-TIER

OpenRouter

Intelligence Score 83/100

Context Window 32k

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 83/100 vs 80/100, Qwen 2.5 VL 72B Instruct (free) outperforms Mistral Nemo by 3 points.

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

HEAD-TO-HEAD

Feature	Mistral Nemo	Qwen 2.5 VL 72B Instruct (free)
Context Window	128k	32k
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	Sep-Nov 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	1 request/second	20 requests/minute
Daily Limit	-	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Fast
Primary Use Case	General Purpose	👁️ Vision & Multimodal
Model Size	Undisclosed	72B
Limitations	Phone verification required Data training opt-in required 1 request/second rate limit	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Access to Mistral's open-weight models OpenAI-compatible API endpoints Function calling support	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing