Qwen3 235B A22B Thinking 2507 API Pricing
Alibaba (Qwen) · context window 128K · prices updated 2026-10-30
Where Qwen3 235B A22B Thinking 2507 sits on price
At $3.50 per million output tokens, Qwen3 235B A22B Thinking 2507 is a mid tier model — 1.6× the median output price of $2.20, which puts it cheaper than 42% and pricier than 58% of the models we track. It sits 37th cheapest of the 42 Alibaba (Qwen) models we track. Output costs 7.8× more than input here, so anything that makes the model write less — tighter instructions, structured output, lower max_tokens — moves the bill more than trimming the prompt.
What real workloads cost on Qwen3 235B A22B Thinking 2507
These three workloads are the ones teams actually run on a mid-priced model — a $3.50/1M model is not bought for the same job as one ten times the price.
| Workload | Per request | Per month |
|---|---|---|
| Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. | $0.0072 | $107 |
| Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. | $0.0031 | $930 |
| Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. | $0.0008 | $22.50 |
Model your exact traffic in the API cost calculator — it preloads Qwen3 235B A22B Thinking 2507 with caching and batch options.
Qwen3 235B A22B Thinking 2507 price history
Alibaba (Qwen) last raised Qwen3 235B A22B Thinking 2507's output price on Oct 10, 2026 (+52% per output token), from $0.23/$2.30 to $0.45/$3.50 per 1M in/out. That is the only repricing in the 89 days we have tracked it — worth knowing before you hard-code today's rate into a budget.
| Date | Input /1M | Output /1M | Output change |
|---|---|---|---|
| Aug 2, 2026 (tracking began) | $0.23 | $2.30 | — |
| Oct 10, 2026 | $0.45 | $3.50 | +52% |
Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).
Qwen3 235B A22B Thinking 2507 vs Kimi K2.6
The closest-priced alternative from another vendor is Kimi K2.6 (Moonshot (Kimi)) — 3% cheaper on output, with $0.2 more per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.
See Kimi K2.6 pricing →Cheaper alternatives
More Alibaba (Qwen) models
Frequently asked questions
› How much does the Qwen3 235B A22B Thinking 2507 API cost?
Qwen3 235B A22B Thinking 2507 costs $0.45 per million input tokens and $3.50 per million output tokens and no discounted cached-input tier. That works out to roughly 285,714 output tokens per dollar.
› What does the support chatbot workload cost on Qwen3 235B A22B Thinking 2507?
Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0072 per request and $107 per month on Qwen3 235B A22B Thinking 2507. Conversation history re-sent each turn — the classic prompt-caching win.
› What does it cost to fill Qwen3 235B A22B Thinking 2507's 128K context window?
Sending 128K of input in a single request costs $0.0576 at $0.45 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.
› Is Qwen3 235B A22B Thinking 2507 worth the price?
Qwen3 235B A22B Thinking 2507 sits in the middle of the market (37 of 42 by price within Alibaba (Qwen)). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.