Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Whisper Large v3 Turbo

Groq

Intelligence Score 78/100
Model Popularity 0 votes
Context Window 7.2k audio-sec/min, 2k RPD
Pricing Model Free / Open

meta/llama-3-70b-instruct

A-TIER

Replicate

Intelligence Score 83/100
Context Window 8K tokens
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

meta/llama-3-70b-instruct Wins

With an intelligence score of 83/100 vs 78/100, meta/llama-3-70b-instruct outperforms Whisper Large v3 Turbo by 5 points.

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

Detailed Comparison

Feature
Whisper Large v3 Turbo
meta/llama-3-70b-instruct
Context Window
7.2k audio-sec/min, 2k RPD 8K tokens
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~70-74% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM, 14.4k RPD Varies by model
Daily Limit
14,400 Requests/Day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 70b
Limitations
  • Test
  • Pay-per-second billing (can be expensive)
  • Cold starts for less popular models
  • Trial credits are minimal
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Run any public model with an API
  • Fine-tune existing models easily
  • Cold boots can be slow for unpopular models

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