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CostPerPrompt

Qwen3 Max 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
$0.156
80% cheaper than fresh input

Where Qwen3 Max sits on price

At $3.90 per million output tokens, Qwen3 Max 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 47th 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

Cached input is 80% cheaper. On an input-heavy workload you need roughly a 31% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on Qwen3 Max

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 with caching and batch options.

Qwen3 Max price history

Qwen3 Max'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 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 API cost?

Qwen3 Max costs $0.78 per million input tokens and $3.90 per million output tokens, with cached input at $0.156 per million (80% cheaper). That works out to roughly 256,410 output tokens per dollar.

What does the support chatbot workload cost on Qwen3 Max?

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

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

Sending 262K of input in a single request costs $0.2045 at $0.78 per million tokens — before any output. With prompt caching that same fill drops to about $0.0409 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is Qwen3 Max worth the price?

Qwen3 Max sits in the middle of the market (47 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.