Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 2.5 7B Instruct (free)

OpenRouter

Intelligence Score 79/100

Model Popularity 0 votes

Context Window 32k

Pricing Model Free / Open

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Replicate

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 79/100 vs 76/100, Qwen 2.5 7B Instruct (free) outperforms mistralai/mistral-7b-instruct-v0.2 by 3 points.

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

HEAD-TO-HEAD

Feature	Qwen 2.5 7B Instruct (free)	mistralai/mistral-7b-instruct-v0.2
Context Window	32k	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~70-74%
Release Date	Sep-Nov 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	20 requests/minute	Varies by model
Daily Limit	50 requests/day (up to 1000 with $10 topup)	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	7B	7b
Limitations	Limits depend on account history/topup Community key models Free models have lower priority during peak demand	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models