Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Mistral Small 3.2 24B

S-TIER

Scaleway Generative APIs

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

DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100
Context Window 164K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V3.2 Wins

With an intelligence score of 94/100 vs 90/100, DeepSeek V3.2 outperforms Mistral Small 3.2 24B by 4 points.

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

Detailed Comparison

Feature
Mistral Small 3.2 24B
DeepSeek V3.2
Context Window
128K Context 164K Context
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~85-87% ~88-91%
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
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
24B Undisclosed
Limitations
  • 1M token trial is finite
  • Region-specific availability
  • Billing account required
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Data Sovereignty: Hosted in Paris/Warsaw/Amsterdam
  • Privacy First: No training on data
  • Low Latency in Europe
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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