Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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

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Intelligence Score 76/100

Model Popularity 0 votes

Context Window 32K tokens

Pricing Model Commercial / Paid

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Cloudflare Workers AI

Intelligence Score 71/100

Context Window 32K

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 76/100 vs 71/100, mistralai/mistral-7b-instruct-v0.2 outperforms Qwen 1.5 7B Chat by 5 points.

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

HEAD-TO-HEAD

Feature	mistralai/mistral-7b-instruct-v0.2	Qwen 1.5 7B Chat
Context Window	32K tokens	32K
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~70-74%	~65-69%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	Varies by model
Daily Limit	Credit-based	10,000 neurons/day
Capabilities	No specific data	Chinese
Performance Tier	B-Tier (Strong)	C-Tier (Good)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	7b	7B
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	10,000 neurons/day cap (varies per model) Larger models consume more neurons per request No fine-tuning support
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Edge inference: runs closest to user 50+ models: LLM, image gen, classification, speech Workers integration for serverless apps