Qwen3 30B A3B Instruct 2507
qwen3-30b-a3b-instruct-2507Qwen3-30B-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 following, multilingual understanding, and... Built by Qwen.
Prices updated
Input price
$0.10
per 1M tokens · Standard
Output price
$0.30
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
32K
tokens
Input formats
Output formats
Qwen3 30B A3B Instruct 2507 price history
6 price records since 9/25/2026 · 4 changes
Qwen3 30B A3B Instruct 2507 cost calculator
$3.50/month
Standard pricing
Overview
What is Qwen3 30B A3B Instruct 2507?
Qwen3 30B A3B Instruct 2507 is a text & reasoning model from Qwen. 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 following, multilingual understanding, and... Its 262K context window and $0.10 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
Qwen3 30B A3B Instruct 2507 benchmarks & speed
How Qwen3 30B A3B Instruct 2507 scores on standardized evaluations, and where it lands among every model we track.
7.5
Intelligence Index
146tok/s
Output speed
Reasoning
GPQA Diamond
65.9%
Graduate-level scientific reasoning · top 75%
HLE
6.9%
Humanity's Last Exam · top 70%
Latency & design
- Time to first token
- 1.89s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Qwen3 30B A3B Instruct 2507 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.10
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Qwen3 30B A3B Instruct 2507 Tools
Tools available when using Qwen3 30B A3B Instruct 2507 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.10 per million tokens suits high-volume workloads.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- 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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