Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemini 2.0 Flash

S-TIER

Google

Intelligence Score 93/100
Model Popularity 0 votes
Context Window 1M
Pricing Model Commercial / Paid
Commercial/Paid Model

Llama 3.1 405B

S-TIER

Venice.ai

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

Gemini 2.0 Flash Wins

With an intelligence score of 93/100 vs 91/100, Gemini 2.0 Flash outperforms Llama 3.1 405B by 2 points.

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

Detailed Comparison

Feature
Gemini 2.0 Flash
Llama 3.1 405B
Context Window
1M 128K tokens
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~85-87%
Release Date
Dec 2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
2,000 RPM 10 RPM (free tier)
Daily Limit
1,500 requests/day (free tier) Limited daily usage
Capabilities
Vision Function Calling Streaming JSON Mode
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
  • API key required
  • Rate limits vary by region
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Massive context window
  • Multimodal
  • Fast inference
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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