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

Llama 3.3 70B Instruct

S-TIER

Fireworks AI

Intelligence Score 94/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Llama 3.3 70B Instruct Wins

With an intelligence score of 94/100 vs 91/100, Llama 3.3 70B Instruct outperforms Llama 3.1 405B by 3 points.

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

Detailed Comparison

Feature
Llama 3.1 405B
Llama 3.3 70B Instruct
Context Window
128K tokens 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~88-91%
Release Date
Jul 2024 Dec 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
10 RPM (free tier) 600 RPM
Daily Limit
Limited daily usage Credit-based
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
405B 70B
Limitations
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
  • $1 credit is one-time only
  • Billing account needed for continued use
  • Rate limits apply to free tier
Key Strengths
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network
  • Blazing Fast Inference
  • Fire-Function-v1: Optimized for tool use
  • JSON Mode: Guaranteed structure

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