Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek-R1

S-TIER

Chutes.ai

Intelligence Score 97/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Free / Open
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meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100
Context Window 8K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 83/100, DeepSeek-R1 outperforms meta/llama-3-70b-instruct by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-R1
meta/llama-3-70b-instruct
Context Window
64K 8K tokens
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~92-95% ~75-79%
Release Date
Jan 2025 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies (community capacity) Varies by model
Daily Limit
Subject to availability Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Fast
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
Undisclosed 70b
Limitations
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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