Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek: R1 (free)

OpenRouter

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open

LLaVA 1.5

A-TIER

llamafile

Intelligence Score 81/100
Context Window Local
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

LLaVA 1.5 Wins

With an intelligence score of 81/100 vs 65/100, LLaVA 1.5 outperforms DeepSeek: R1 (free) by 16 points.

Clear Winner: Significant performance advantage for LLaVA 1.5.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek: R1 (free)
LLaVA 1.5
Context Window
128k Local
Architecture
Dense Transformer Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute Hardware dependent
Daily Limit
50 requests/day (up to 1000 with $10 topup) Unlimited
Capabilities
No specific data
Vision
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed Undisclosed
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server

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