Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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

Replicate

Intelligence Score 76/100

Model Popularity 0 votes

Context Window 32K tokens

Pricing Model Commercial / Paid

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S-TIER

DeepInfra

Intelligence Score 94/100

Context Window 64K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 94/100 vs 76/100, DeepSeek V3 outperforms mistralai/mistral-7b-instruct-v0.2 by 18 points.

Clear Winner: Significant performance advantage for DeepSeek V3.

HEAD-TO-HEAD

Feature	mistralai/mistral-7b-instruct-v0.2	DeepSeek V3
Context Window	32K tokens	64K
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~70-74%	~88-91%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	Varies by model	60 RPM (varies by model)
Daily Limit	Credit-based	Credit-based (no daily cap)
Capabilities	No specific data	Reasoning
Performance Tier	B-Tier (Strong)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	7b	Undisclosed
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	$5 credit is one-time only Credits expire after 90 days Rate limits vary by model
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	OpenAI-compatible API (drop-in replacement) 40+ open-source models hosted Fast inference with optimized serving