 Qwen3 30B A3B Instruct 2507 | ||
|---|---|---|
Model Provider The organization behind this AI's development | Qwen | |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 32K tokens |
Release Date When this model first became publicly available | April 27, 2026 1 month ago April 27th, 2026 | July 29, 2025 11 months ago July 29th, 2025 |
Anthropic Claude Sonnet Latest | Qwen3 30B A3B Instruct 2507 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image📁File | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Router | Qwen3 |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
| Qwen3 30B A3B Instruct 2507 | ||
|---|---|---|
Input Token Cost Cost per million input tokens | $3.00 per million tokens | $0.05 per million tokens |
Output Token Cost Cost per million outut tokens | $15.00 per million tokens | $0.19 per million tokens |
| Qwen3 30B A3B Instruct 2507 | ||
|---|---|---|
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. |
Qwen3 30B A3B Instruct 2507 by Qwen can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.05/M input and $0.19/M output tokens. Released July 29th, 2025.Compare your models with top performers across different categories
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