Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

NVIDIA: Llama 3.1 Nemotron 70B (free)

S-TIER

OpenRouter

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

Qwen 2.5 72B Instruct

S-TIER

Chutes.ai

Intelligence Score 91/100
Context Window 32K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 72B Instruct Wins

With an intelligence score of 91/100 vs 90/100, Qwen 2.5 72B Instruct outperforms NVIDIA: Llama 3.1 Nemotron 70B (free) by 1 point.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
NVIDIA: Llama 3.1 Nemotron 70B (free)
Qwen 2.5 72B Instruct
Context Window
128k 32K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~85-87%
Release Date
Jul 2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute Varies (community capacity)
Daily Limit
50 requests/day (up to 1000 with $10 topup) Subject to availability
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B 72B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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