 Qwen2.5 VL 32B Instruct |  WizardLM-2 8x22B | |
|---|---|---|
Model Provider The organization behind this AI's development | Qwen | Microsoft |
Input Context Window Maximum input tokens this model can process at once | 16.4K tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 16.4K tokens |
Release Date When this model first became publicly available | March 24, 2025 7 months ago March 24th, 2025 | April 16, 2024 1 year ago April 16th, 2024 |
Qwen2.5 VL 32B Instruct | WizardLM-2 8x22B | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Qwen | Mistral |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning ModeContent Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
| Qwen2.5 VL 32B Instruct | WizardLM-2 8x22B | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.05 per million tokens | $0.48 per million tokens |
Output Token Cost Cost per million outut tokens | $0.22 per million tokens | $0.48 per million tokens |
| Qwen2.5 VL 32B Instruct | WizardLM-2 8x22B | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
Qwen2.5 VL 32B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 16.4K token context window. Very affordable at $0.05/M input and $0.22/M output tokens. Released March 24th, 2025.WizardLM-2 8x22B by Microsoft generates structured data. It can handle standard conversations with its 65.5K token context window. Very affordable at $0.48/M input and $0.48/M output tokens. Released April 16th, 2024.Compare your models with top performers across different categories
Best models for coding and development
Models optimized for creative writing
Content creation and marketing tasks
Technical analysis and explanations
Scientific research and analysis
Multilingual translation tasks
Best models for coding and development
Models optimized for creative writing
Content creation and marketing tasks
Technical analysis and explanations
Scientific research and analysis
Multilingual translation tasks
