Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Google: Gemini 2.0 Pro (free)

S-TIER

OpenRouter

Intelligence Score 96/100
Model Popularity 0 votes
Context Window 1M
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 405B

S-TIER

Venice.ai

Intelligence Score 91/100
Context Window 128K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Google: Gemini 2.0 Pro (free) Wins

With an intelligence score of 96/100 vs 91/100, Google: Gemini 2.0 Pro (free) outperforms Llama 3.1 405B by 5 points.

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

Detailed Comparison

Feature
Google: Gemini 2.0 Pro (free)
Llama 3.1 405B
Context Window
1M 128K tokens
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~92-95% ~85-87%
Release Date
Dec 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 10 RPM (free tier)
Daily Limit
50 requests/day (up to 1000 with $10 topup) Limited daily usage
Capabilities
No specific data
Reasoning
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
~1.5T (estimated) 405B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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