Qwen3 30B A3B Instruct 2507
by Alibaba (Qwen) · qwen/qwen3-30b-a3b-instruct-2507 · #28 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:22 PM UTC · refreshed hourly
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...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.048
per 1M tokens
Output
$0.193
per 1M tokens
Blended (3:1)
$0.084
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Qwen3 30B A3B Instruct 2507 (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.084 | $0.005104 | — |
| 50% | $0.084 | $0.005104 | −0% |
| 90% | $0.084 | $0.005104 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $8.20e-5 | $0.082 |
| Document summary | 8,000 | 1,000 | $0.000578 | $0.5783 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.001831 | $1.83 |
| Long-context analysis | 150,000 | 5,000 | $0.008188 | $8.19 |
Specs
Context window
262K
tokens
Max output
32K
tokens
Input modalities
text
Tokenizer
Qwen3