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CostPerPrompt

Qwen3 14B API Pricing

Alibaba (Qwen) · context window 131K · prices updated 2026-09-15

Input per 1M tokens
$0.12
Output per 1M tokens
$0.24
Cached input per 1M
No discounted cached tier on this model

Where Qwen3 14B sits on price

At $0.24 per million output tokens, Qwen3 14B is a budget tier model — 8.7× cheaper than the median output price of $2.08, which puts it in the cheapest 10% of everything we track. It sits 5th cheapest of the 53 Alibaba (Qwen) models we track. Output is only 2.0× 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
4,166,667
One full context fill
$0.0157
Cheaper than
90% of tracked models

What real workloads cost on Qwen3 14B

These three workloads are the ones teams actually run on a budget-priced model — a $0.24/1M 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. $0.0001 $317
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0001 $2.88
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0005 $144

Model your exact traffic in the API cost calculator — it preloads Qwen3 14B with caching and batch options.

Qwen3 14B price history

Alibaba (Qwen) last cut Qwen3 14B's output price on Sep 14, 2026 (-74% per output token), from $0.2275/$0.91 to $0.12/$0.24 per 1M in/out. That is one of 3 repricings in the 44 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) $0.2275 $0.91
Aug 10, 2026 $0.12 $0.24 -74%
Sep 8, 2026 $0.2275 $0.91 +279%
Sep 14, 2026 $0.12 $0.24 -74%

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

Qwen3 14B vs Nova Lite 1.0

The closest-priced alternative from another vendor is Nova Lite 1.0 (Amazon) — priced within a rounding error on output, with $0.06 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 Nova Lite 1.0 pricing →

Cheaper alternatives

More Alibaba (Qwen) models

Frequently asked questions

How much does the Qwen3 14B API cost?

Qwen3 14B costs $0.12 per million input tokens and $0.24 per million output tokens and no discounted cached-input tier. That works out to roughly 4,166,667 output tokens per dollar.

What does the high-volume classification workload cost on Qwen3 14B?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0.0001 per request and $317 per month on Qwen3 14B. Short output, huge volume: the input price dominates the bill.

What does it cost to fill Qwen3 14B's 131K context window?

Sending 131K of input in a single request costs $0.0157 at $0.12 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 14B worth the price?

Qwen3 14B is in the cheapest end of the market — cheaper than 90% 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.