Capabilities
7-day heat trend
−6.1%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 37% of tracked models
- Faster than 51% of tracked models
- Efficiency rank: #115 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About qwen3-30b-a3b-instruct-2507
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction fo...
qwen3-30b-a3b-instruct-2507 is a Text model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.09 per 1M input tokens and $0.30 per 1M output tokens, with a 262K-token context window, ~148 tokens/sec throughput and 99.0% availability. Its composite efficiency score is 90/100 at an estimated $0.000 per successful task.
Compare qwen3-30b-a3b-instruct-2507
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Frequently asked questions
How much does qwen3-30b-a3b-instruct-2507 cost per 1M tokens?+
qwen3-30b-a3b-instruct-2507 is tracked at $0.09 per 1M input tokens and $0.30 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.25 per 1M tokens. Figures are illustrative demo data.
What is qwen3-30b-a3b-instruct-2507 best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is qwen3-30b-a3b-instruct-2507?+
qwen3-30b-a3b-instruct-2507 delivers about 148 tokens/sec with 99.0% tracked availability, suitable for latency-sensitive, real-time applications.
Is qwen3-30b-a3b-instruct-2507 cheaper than other AI models?+
Within the HotON.ai tracked set, qwen3-30b-a3b-instruct-2507 is cheaper than 37% of models on input price and ranks #115 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.