Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 3.3 70B Instruct

S-TIER

Fireworks AI

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Dolphin Mixtral

Venice.ai

Intelligence Score 65/100
Context Window 32K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.3 70B Instruct Wins

With an intelligence score of 94/100 vs 65/100, Llama 3.3 70B Instruct outperforms Dolphin Mixtral by 29 points.

Clear Winner: Significant performance advantage for Llama 3.3 70B Instruct.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.3 70B Instruct
Dolphin Mixtral
Context Window
128K 32K tokens
Architecture
Transformer (Open Weight) Mixture of Experts (MoE)
Est. MMLU Score
~88-91% ~60-64%
Release Date
Dec 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
600 RPM 10 RPM (free tier)
Daily Limit
Credit-based Limited daily usage
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) C-Tier (Good)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B Undisclosed
Limitations
  • $1 credit is one-time only
  • Billing account needed for continued use
  • Rate limits apply to free tier
  • Free tier has speed/rate limits
  • Pro subscription needed for 405B speed
  • Decentralized network variance
Key Strengths
  • Blazing Fast Inference
  • Fire-Function-v1: Optimized for tool use
  • JSON Mode: Guaranteed structure
  • Zero-Knowledge Proofs for privacy
  • Uncensored model options
  • Decentralized compute network

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