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CostPerPrompt

Qwen3 Max Thinking API Pricing

Alibaba (Qwen) · context window 262K · prices updated 2026-09-15

Input per 1M tokens
$0.78
Output per 1M tokens
$3.90
Cached input per 1M
No discounted cached tier on this model

Where Qwen3 Max Thinking sits on price

At $3.90 per million output tokens, Qwen3 Max Thinking is a mid tier model — 1.9× the median output price of $2.08, which puts it cheaper than 37% and pricier than 63% of the models we track. It sits 46th cheapest of the 53 Alibaba (Qwen) models we track. Output costs 5.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
256,410
One full context fill
$0.2045
Cheaper than
37% of tracked models

What real workloads cost on Qwen3 Max Thinking

These three workloads are the ones teams actually run on a mid-priced model — a $3.90/1M 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. $0.0094 $140
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0043 $1287
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.001 $29.25

Model your exact traffic in the API cost calculator — it preloads Qwen3 Max Thinking with caching and batch options.

Qwen3 Max Thinking price history

Qwen3 Max Thinking's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 17 of Alibaba (Qwen)'s own 53 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

Qwen3 Max Thinking vs Kimi K2.6

The closest-priced alternative from another vendor is Kimi K2.6 (Moonshot (Kimi)) — 3% more expensive on output, with $0.17 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 Max Thinking API cost?

Qwen3 Max Thinking costs $0.78 per million input tokens and $3.90 per million output tokens and no discounted cached-input tier. That works out to roughly 256,410 output tokens per dollar.

What does the support chatbot workload cost on Qwen3 Max Thinking?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0094 per request and $140 per month on Qwen3 Max Thinking. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Qwen3 Max Thinking's 262K context window?

Sending 262K of input in a single request costs $0.2045 at $0.78 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 Max Thinking worth the price?

Qwen3 Max Thinking sits in the middle of the market (46 of 53 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.