Qwen3 14B

Apache 2.0

qwen/qwen3-14b

Dense 14B instruct model from Alibaba with a hybrid thinking mode that can be switched per request. Competitive with much larger models on reasoning, maths and code, and the point in the Qwen3 range where quality stops being the constraint for most production work.

Get an API key

Endpoints

Each row is one provider serving these weights at one precision. Prices are per million tokens.

Provider	Quantisation	Hardware	Context	Max out	Input	Output	Cached in
Infersia	AWQ int4		32K	16K	$0.09	$0.22	$0.02

Prefix caching is enabled and the discount is passed through. If your agent replays the same system prompt each iteration, the repeated portion bills at the cached rate.

What AWQ int4 means

Activation-aware 4-bit weight quantisation. Small, measurable quality cost.

We serve this on vllm latest, and the quantisation is returned on every request in the x-infersia-quantization response header — so you can assert on it in your own tests rather than trusting this page.

Call it

curlbash

curl https://api.infersia.com/v1/chat/completions \
  -H "Authorization: Bearer $INFERSIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-14b",
    "messages": [{"role": "user", "content": "Hello"}],
    "stream": true
  }'

Pin a provider with qwen/qwen3-14b@infersia, or take the cheapest with the bare id. Add :free for the rate-limited free tier where one exists.