Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek V3

S-TIER

DeepInfra

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Commercial / Paid

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
FINAL VERDICT

DeepSeek V3 Wins

With an intelligence score of 94/100 vs 90/100, DeepSeek V3 outperforms NVIDIA: Llama 3.1 Nemotron 70B (free) by 4 points.

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

Detailed Comparison

Feature
DeepSeek V3
NVIDIA: Llama 3.1 Nemotron 70B (free)
Context Window
64K 128k
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~88-91% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) 20 requests/minute
Daily Limit
Credit-based (no daily cap) 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
Medium âš¡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 70B
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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