Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mistral Medium 3.5 128B

A-TIER

Scaleway Generative APIs

Intelligence Score 84/100

Model Popularity 0 votes

Context Window 128K Context

Pricing Model Free / Open

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A-TIER

DeepSeek

Intelligence Score 80/100

Context Window 128K

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 84/100 vs 80/100, Mistral Medium 3.5 128B outperforms DeepSeek-V4 Pro by 4 points.

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

HEAD-TO-HEAD

Feature	Mistral Medium 3.5 128B	DeepSeek-V4 Pro
Context Window	128K Context	128K
Architecture	Transformer (Open Weight)	Dense Transformer
Est. MMLU Score	~75-79%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	60 RPM	60 RPM
Daily Limit	Credit-based	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	B-Tier (Strong)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	128B	Undisclosed
Limitations	1M token trial is finite Region-specific availability Billing account required	10M tokens is one-time only API can be slow during peak hours (Chinese business hours) Rate limiting during high demand periods
Key Strengths	Data Sovereignty: Hosted in Paris/Warsaw/Amsterdam Privacy First: No training on data Low Latency in Europe	DeepSeek-R1: OpenAI o1-level reasoning (open-source) Mixture-of-Experts architecture for efficiency OpenAI-compatible API (drop-in replacement)