Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100
Model Popularity 0 votes
Context Window Local
Pricing Model Free / Open
View Provider Analysis →

DeepSeek V3.2

S-TIER

Friendli AI

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

DeepSeek V3.2 Wins

With an intelligence score of 94/100 vs 81/100, DeepSeek V3.2 outperforms LLaVA 1.5 by 13 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
LLaVA 1.5
DeepSeek V3.2
Context Window
Local 164K Context
Architecture
Transformer Dense Transformer
Est. MMLU Score
~75-79% ~88-91%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent 60 RPM
Daily Limit
Unlimited Credit-based
Capabilities
Vision
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
Medium Medium
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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