GPT-4o (2024-08-06) vs WizardLM-2 8x22B (Comparative Analysis)
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Comparative Analysis: GPT-4o (2024-08-06) vs. WizardLM-2 8x22B
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Overview
WizardLM-2 8x22B was released 3 months before GPT-4o (2024-08-06).
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 128K tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 8K tokens |
Release Date When this model first became publicly available | August 6, 2024 1 year ago August 6th, 2024 | April 16, 2024 2 years ago April 16th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | October 31, 2023 | April 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-4o (2024-08-06) | WizardLM-2 8x22B | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning Mode✓Content Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
Pricing
GPT-4o (2024-08-06) is roughly 4.0x more expensive compared to WizardLM-2 8x22B for input tokens and roughly 16.1x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $2.50 per million tokens | $0.62 per million tokens |
Output Token Cost Cost per million output tokens | $10.00 per million tokens | $0.62 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $1.25 per million tokens | Not specified |
At a Glance
Quick overview of what makes GPT-4o (2024-08-06) and WizardLM-2 8x22B unique.
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🚀Programming
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Models optimized for creative writing
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Technical analysis and explanations
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