Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek Flash (V4.1)

A-TIER

DeepSeek

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 1M Context
Pricing Model Free / Open

Mistral Small 3.2 24B

S-TIER

Scaleway Generative APIs

Intelligence Score 90/100
Context Window 128K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Mistral Small 3.2 24B Wins

With an intelligence score of 90/100 vs 83/100, Mistral Small 3.2 24B outperforms DeepSeek Flash (V4.1) by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek Flash (V4.1)
Mistral Small 3.2 24B
Context Window
1M Context 128K Context
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~85-87%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
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) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 24B
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • 1M token trial is finite
  • Region-specific availability
  • Billing account required
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • Data Sovereignty: Hosted in Paris/Warsaw/Amsterdam
  • Privacy First: No training on data
  • Low Latency in Europe

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