Skip to content
CostPerPrompt

Qwen3 14B API Pricing

Alibaba (Qwen) · context window 131K · prices updated 2026-08-02

Input per 1M tokens
$0.2275
Output per 1M tokens
$0.91
Cached input per 1M
—

What real workloads cost on Qwen3 14B

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0003 $7.51
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0024 $36.17
Document pipeline, 10K docs/day (3K in / 500 out) $0.0011 $341

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

Cheaper alternatives

MiniMax M2.5 MiniMax $0.15 in · $0.9 out Codestral 2508 Mistral $0.3 in · $0.9 out GLM 4.6V Z.ai (GLM) $0.3 in · $0.9 out

More Alibaba (Qwen) models

Qwen3.7 Max Qwen3.6 Max Preview Qwen2.5 VL 72B Instruct Qwen3 Max Thinking

Frequently asked questions

› How much does the Qwen3 14B API cost?

Qwen3 14B costs $0.2275 per million input tokens and $0.91 per million output tokens. In practice, a typical short request (500 tokens in, 150 out) costs about $0.0003.

› What does 1,000 requests per day cost on Qwen3 14B?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $7.51 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

› How can I reduce Qwen3 14B costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep Qwen3 14B for hard cases; (2) enable prompt caching, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

› Is Qwen3 14B worth the price?

It depends on task difficulty. Flagship models earn their premium on complex reasoning, coding, and high-stakes output; mini/flash tiers handle classification, extraction and routine chat at 10–30× lower cost. Benchmark a sample of your real workload on both before committing.