Qwen3 30B A3B Instruct 2507 vs Sonar (Comparative Analysis)
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Comparative Analysis: Qwen3 30B A3B Instruct 2507 vs. Sonar
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Overview
Sonar was released 6 months before Qwen3 30B A3B Instruct 2507.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 127.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32K tokens | Not specified tokens |
Release Date When this model first became publicly available | July 29, 2025 12 months ago July 29th, 2025 | January 27, 2025 1 year ago January 27th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | June 30, 2025 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Qwen3 30B A3B Instruct 2507 | Sonar | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Qwen3 | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation | Function CallingStructured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
Qwen3 30B A3B Instruct 2507 is roughly 0.05x less expensive compared to Sonar for input tokens and roughly 0.2x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.05 per million tokens | $1.00 per million tokens |
Output Token Cost Cost per million output tokens | $0.19 per million tokens | $1.00 per million tokens |
Web Search Cost Additional cost for each web search operation | Not specified | $0.005 per search |
At a Glance
Quick overview of what makes Qwen3 30B A3B Instruct 2507 and Sonar unique.
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