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

OpenRouter

Intelligence Score 96/100

Context Window 1M

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 96/100 vs 76/100, Google: Gemini 2.0 Pro (free) outperforms mistralai/mistral-7b-instruct-v0.2 by 20 points.

Clear Winner: Significant performance advantage for Google: Gemini 2.0 Pro (free).

HEAD-TO-HEAD

Feature	mistralai/mistral-7b-instruct-v0.2	Google: Gemini 2.0 Pro (free)
Context Window	32K tokens	1M
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~70-74%	~92-95%
Release Date	2024	Dec 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	Varies by model	20 requests/minute
Daily Limit	Credit-based	50 requests/day (up to 1000 with $10 topup)
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	S-Tier (Elite)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	7b	~1.5T (estimated)
Limitations	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal	Limits depend on account history/topup Community key models Free models have lower priority during peak demand
Key Strengths	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models	Unified API for 100+ models from all providers OpenAI-compatible endpoint (drop-in replacement) Automatic model fallback and routing