Qwen3 30B A3B Thinking 2507
qwen3-30b-a3b-thinking-2507Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated... Built by Qwen.
Prices updated
Input price
$0.20
per 1M tokens · Standard
Output price
$2.40
per 1M tokens · Standard
Input limit
82K
tokens
Output limit
33K
tokens
Input formats
Output formats
Qwen3 30B A3B Thinking 2507 price history
2 price records since 9/25/2026
Qwen3 30B A3B Thinking 2507 cost calculator
$16/month
Standard pricing
Overview
What is Qwen3 30B A3B Thinking 2507?
Qwen3 30B A3B Thinking 2507 is a text & reasoning model from Qwen. Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking. The model is designed specifically for “thinking mode,” where internal reasoning traces are separated... Its 82K context window and $0.20 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
Qwen3 30B A3B Thinking 2507 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.20
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Qwen3 30B A3B Thinking 2507 Tools
Tools available when using Qwen3 30B A3B Thinking 2507 through supported provider APIs.
Function calling
Supported
Structured outputs
Not supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.20 per million tokens suits high-volume workloads.
- A 82K context window covers most focused application workflows.
- Supports text & reasoning workloads in one model.
Limitations
- Generated tokens cost 12× more than input tokens, which matters for verbose responses.
- The 82K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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