Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mistral Large (24.11)

S-TIER

GitHub Models

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 128K

Pricing Model Free / Open

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S-TIER

Google AI Studio

Intelligence Score 94/100

Context Window 1M Context, 10 RPM

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 94/100 vs 90/100, Gemini 2.0 Flash Thinking outperforms Mistral Large (24.11) by 4 points.

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

HEAD-TO-HEAD

Feature	Mistral Large (24.11)	Gemini 2.0 Flash Thinking
Context Window	128K	1M Context, 10 RPM
Architecture	Transformer (Open Weight)	Transformer (Proprietary)
Est. MMLU Score	~85-87%	~88-91%
Release Date	2024	Dec 2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	10 RPM (high-tier) / higher for mini-tier	5-30 RPM (varies by model)
Daily Limit	50 RPD (high-tier models) / 150 RPD (mini-tier models)	9000 RPD (Flash) / 25 RPD (3.1 Pro)
Capabilities	Reasoning Multilingual	Thinking Reasoning
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	Undisclosed	~1.5T (estimated)
Limitations	Restrictive limits Requires GitHub account Rate limits vary by Copilot tier	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Prototyping	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed