Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Context Window 64K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 81/100, DeepSeek-R1 outperforms LLaVA 1.5 by 16 points.

Clear Winner: Significant performance advantage for DeepSeek-R1.
HEAD-TO-HEAD

Detailed Comparison

Feature
LLaVA 1.5
DeepSeek-R1
Context Window
Local 64K
Architecture
Transformer Dense Transformer
Est. MMLU Score
~75-79% ~92-95%
Release Date
2024 Jan 2025
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware dependent Varies (community capacity)
Daily Limit
Unlimited Subject to availability
Capabilities
Vision
Reasoning
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
Undisclosed Undisclosed
Limitations
  • File sizes are large (contain weights)
  • CLI usage often required
  • Windows requires appending .exe
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Executable weight files (multi-OS)
  • Integrated Web UI
  • OpenAI Compatible API server
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

Similar Comparisons

LLaVA 1.5
vs
Mistral 7B
DeepSeek-R1
vs
Mistral 7B
LLaVA 1.5
vs
TinyLlama
DeepSeek-R1
vs
TinyLlama
LLaVA 1.5
vs
Llama 3.1 70B Instruct
DeepSeek-R1
vs
Llama 3.1 70B Instruct
DeepSeek-R1
vs
Qwen 2.5 72B Instruct