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CostPerPrompt

Qwen3 Max API Pricing

Alibaba (Qwen) · context window 262K · prices updated 2026-09-29

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 — 1.8× the median output price of $2.20, which puts it cheaper than 40% and pricier than 60% 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
40% 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 — 58 days of stability in a market where 88 of the 353 models we track have repriced over the same period, including 16 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 GPT-3.5 Turbo 16k

The closest-priced alternative from another vendor is GPT-3.5 Turbo 16k (OpenAI) — 3% more expensive on output, with $2.22 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 GPT-3.5 Turbo 16k 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 (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.