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
View Provider Analysis →

NVIDIA: Llama 3.1 Nemotron 70B (free)

S-TIER

OpenRouter

Intelligence Score 90/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek-R1 Wins

With an intelligence score of 97/100 vs 90/100, DeepSeek-R1 outperforms NVIDIA: Llama 3.1 Nemotron 70B (free) by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-R1
NVIDIA: Llama 3.1 Nemotron 70B (free)
Context Window
64K 128k
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~92-95% ~85-87%
Release Date
Jan 2025 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Varies (community capacity) 20 requests/minute
Daily Limit
Subject to availability 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
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
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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