 Qwen2.5 VL 72B Instruct |  Sonar Deep Research | |
|---|---|---|
Model Provider The organization behind this AI's development | Qwen | Perplexity |
Input Context Window Maximum input tokens this model can process at once | 32.8K tokens | 128K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | Not specified tokens |
Release Date When this model first became publicly available | February 1, 2025 9 months ago February 1st, 2025 | March 7, 2025 8 months ago March 7th, 2025 |
Qwen2.5 VL 72B Instruct | Sonar Deep Research | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Qwen | Other |
Key Features Advanced capabilities | Function Calling✓Structured OutputReasoning ModeContent Moderation | Function CallingStructured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
| Qwen2.5 VL 72B Instruct | Sonar Deep Research | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.08 per million tokens | $2.00 per million tokens |
Output Token Cost Cost per million outut tokens | $0.33 per million tokens | $8.00 per million tokens |
| Qwen2.5 VL 72B Instruct | Sonar Deep Research | |
|---|---|---|
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 72B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.08/M input and $0.33/M output tokens. Released February 1st, 2025.Sonar Deep Research by Perplexity offers advanced reasoning. It can handle standard conversations with its 128K token context window. Reasonably priced at $2.00/M input and $8.00/M output tokens. Released March 7th, 2025.Compare your models with top performers across different categories
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