Qwen: Qwen3 30B A3B Thinking 2507
qwen/qwen3-30b-a3b-thinking-2507- Context window
- 81,920 tokens
- Maximum output
- 32,768 tokens
- Input price
- $0.2 per 1M tokens
- Output price
- $2.4 per 1M tokens
- Modalities
- text
Last verified · Source ↗
Official description
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...
Read the official model reference ↗.
Where this model fits
qwen/qwen3-30b-a3b-thinking-2507 is part of the OpenRouter API catalog. Its documented modalities are text. Choose it against the request format, output requirements and operational limits of your application.
The source metadata identifies support for router hosting. Confirm endpoint-specific parameters in the official reference before integrating that capability.
For a repeatable evaluation, use representative requests, inspect structured output or tool calls, and log latency and usage in your own account. Catalog metadata establishes compatibility; it does not measure answer quality on your workload. Start from the provider guide for authentication and endpoint setup.
Current pricing
| Model | Price type | USD | Unit | Tier | Region | Source |
|---|---|---|---|---|---|---|
| Qwen: Qwen3 30B A3B Thinking 2507 | Input | $0.2 | per 1M tokens | Standard | See source | Official source ↗ |
| Qwen: Qwen3 30B A3B Thinking 2507 | Output | $2.4 | per 1M tokens | Standard | See source | Official source ↗ |
Last verified · Source ↗
Estimate request, daily and monthly usage in the API cost calculator.
Rate limits and availability
Published limits have not yet been verified for this selection. Check the official limits documentation and your account console.
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Account-specific capacity may differ. Check the provider rate-limit guide and the free-tier conditions.
Three alternatives to compare
These alternatives share a documented modality and have the closest combination of input price and context size in the current catalog. This is a specification comparison, not a quality benchmark.
| Model | Provider | Input / 1M tokens | Context |
|---|---|---|---|
| Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite) 🍌 | $0.25 | 65,536 | |
| Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | OpenRouter | $0.25 | 65,536 |
| Venice: Uncensored | OpenRouter | $0.2 | 128,000 |
Use the exact identifier in Python
This identifier fragment belongs in the authenticated request described in the provider Python tutorial. The tutorial covers the correct SDK, endpoint, environment variable and response shape.
model = "qwen\/qwen3-30b-a3b-thinking-2507"
# Pass model to the provider-specific request in the tutorial.Recent changes
- OpenRouter · Qwen: Qwen3 30B A3B Thinking 2507 — Amount UsdNot previously recorded → Price category: output · USD: 2.4 · Unit: per 1M tokensSource ↗
- OpenRouter · Qwen: Qwen3 30B A3B Thinking 2507 — Amount UsdNot previously recorded → Price category: input · USD: 0.2 · Unit: per 1M tokensSource ↗
- OpenRouter · Qwen: Qwen3 30B A3B Thinking 2507 — First SeenNot previously recorded → Model: Qwen: Qwen3 30B A3B Thinking 2507Source ↗
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Frequently asked questions
What is the exact API model identifier?
qwen/qwen3-30b-a3b-thinking-2507 exactly as shown in the provider model reference. Display names are not interchangeable with API identifiers.How much does this model cost?
How much input can the model accept?
Can I use a free tier?
Where do these model facts come from?
Sources
Last verified · Source ↗