Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 405B

S-TIER

Venice.ai

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

Google: Gemini 2.0 Flash (free)

S-TIER

OpenRouter

Intelligence Score 93/100
Context Window 1M
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Google: Gemini 2.0 Flash (free) Wins

With an intelligence score of 93/100 vs 91/100, Google: Gemini 2.0 Flash (free) 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
Llama 3.1 405B
Google: Gemini 2.0 Flash (free)
Context Window
128K tokens 1M
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~85-87% ~88-91%
Release Date
Jul 2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
10 RPM (free tier) 20 requests/minute
Daily Limit
Limited daily usage 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
405B ~1.5T (estimated)
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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