Model pricing reference

qwen/qwen3-coder pricing on TackleKey

Use this public model page to check provider context, API setup direction, and production pricing signals before larger tests.

Confirm live pricing Read setup docs

Public pricing signal

Provider

阿里巴巴

Input

$0.4 / 1M tokens

Output

$2.61 / 1M tokens

Endpoint

openai

Price context within 阿里巴巴

By the sum of the current public input and output reference prices, qwen/qwen3-coder ranks 38 of 43 priced 阿里巴巴 models listed on TackleKey. This is a price reference, not a quality or reliability ranking.

Cost examples

These arithmetic examples use the public per-million-token references shown above. They exclude retries, cached-token rules, tools, images, audio, provider-specific features, and future price changes.

Scenario	Input tokens	Output tokens	Input cost	Output cost	Estimated total
Small validation	1,000	500	$0.0004	$0.001305	$0.001705
Application batch	100,000	20,000	$0.04	$0.0522	$0.0922
Large reference	1,000,000	200,000	$0.4	$0.522	$0.922

OpenAI-compatible request

Use the exact public model identifier qwen/qwen3-coder. Keep the project key in a server-side environment variable and start with a small response limit.

curl https://api.tacklekey.com/v1/chat/completions \
  -H "Authorization: Bearer $TACKLEKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "qwen/qwen3-coder",
  "messages": [
    {
      "role": "user",
      "content": "Reply with a one-sentence API health check."
    }
  ],
  "max_tokens": 64
}'

How to use it

TackleKey is OpenAI-compatible for common chat completion workflows. Replace the base URL with the TackleKey endpoint, use a project API key, and verify the qwen/qwen3-coder availability, endpoint support, request log, and balance record before scaling traffic.

This page is generated from public production pricing data. Actual route selection may consider cooldown, endpoint support, account-level health, and request shape.

Related 阿里巴巴 models

qwen/qwen3.7-plus

Input $0.34 / 1M tokens
Output $1.34 / 1M tokens

qwen/qwen3.7-max

Input $1.78 / 1M tokens
Output $5.33 / 1M tokens

qwen/qwen3.6-flash

Input $0.21 / 1M tokens
Output $1.19 / 1M tokens

qwen/qwen3.6-35b-a3b

Input $0.16 / 1M tokens
Output $1.05 / 1M tokens

qwen/qwen3.6-max-preview

Input $1.41 / 1M tokens
Output $6.56 / 1M tokens

qwen/qwen3.6-27b

Input $0.32 / 1M tokens
Output $3.33 / 1M tokens

FAQ

What model ID should I send for qwen/qwen3-coder?

Use qwen/qwen3-coder exactly as shown in the current TackleKey pricing catalog, then confirm it is still available before a larger run.

How is the qwen/qwen3-coder example cost calculated?

Each example multiplies the displayed public price per one million tokens by the sample input or output token count. It is an estimate, not a billing promise.

Is qwen/qwen3-coder the cheapest or best model?

This page does not make that claim. Compare live 阿里巴巴 and cross-provider prices, endpoint support, request success, and output quality for your workload.

Try TackleKey with one OpenAI-compatible change

Create an account, generate a project API key, then replace your client base URL with the TackleKey endpoint. Keep keys server-side and verify live pricing before scaling traffic.

Create account Run first request