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CostPerPrompt

Qwen3.5-9B API Pricing

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

Input per 1M tokens
$0.1
Output per 1M tokens
$0.15
Cached input per 1M
No discounted cached tier on this model

Where Qwen3.5-9B sits on price

At $0.15 per million output tokens, Qwen3.5-9B is a budget tier model — 13.9× cheaper than the median output price of $2.08, which puts it in the cheapest 10% of everything we track. It sits 2th cheapest of the 53 Alibaba (Qwen) models we track. Output is only 1.5× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.

Output tokens per $1
6,666,667
One full context fill
$0.0262
Cheaper than
97% of tracked models

What real workloads cost on Qwen3.5-9B

These three workloads are the ones teams actually run on a budget-priced model — a $0.15/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill. $0 $258
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0001 $2.17
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0004 $113

Model your exact traffic in the API cost calculator — it preloads Qwen3.5-9B with caching and batch options.

Qwen3.5-9B price history

Qwen3.5-9B'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).

Qwen3.5-9B vs Command R7B (12-2024)

The closest-priced alternative from another vendor is Command R7B (12-2024) (Cohere) — priced within a rounding error on output, with $0.0625 less 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 Command R7B (12-2024) pricing →

Cheaper alternatives

More Alibaba (Qwen) models

Frequently asked questions

How much does the Qwen3.5-9B API cost?

Qwen3.5-9B costs $0.1 per million input tokens and $0.15 per million output tokens and no discounted cached-input tier. That works out to roughly 6,666,667 output tokens per dollar.

What does the high-volume classification workload cost on Qwen3.5-9B?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0 per request and $258 per month on Qwen3.5-9B. Short output, huge volume: the input price dominates the bill.

What does it cost to fill Qwen3.5-9B's 262K context window?

Sending 262K of input in a single request costs $0.0262 at $0.1 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 Qwen3.5-9B worth the price?

Qwen3.5-9B is in the cheapest end of the market — cheaper than 97% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.