TokenLX
QWEN

alibaba/qwen-image

from $0.03 per call3.42B  tokens servedImage

Alibaba Qwen series — Chinese-first LLMs with strong bilingual support. Wide range from turbo to max tiers.

Key strengths

  • Strong Chinese
  • Good English
  • Multiple size tiers
  • Tool calling

Use cases

  • Chinese assistants
  • Bilingual content
  • Enterprise chat
  • Cross-border apps
chinesebilingual

Alibaba's alibaba/qwen-image is a state-of-the-art text-to-image generation model. It produces highly detailed, photorealistic and stylized imagery from natural-language prompts, with strong instruction following and accurate text rendering inside generated images.

Compatible with the OpenAI `/images/generations` endpoint shape, supporting prompt, size, seed, negative prompt, and resolution controls. Excellent for creative workflows, marketing assets, product visualization, and concept art at scale.

alibaba/qwen-image is fully OpenAI-compatible — drop in your existing OpenAI Python or Node SDK and switch `baseURL` to `https://api.tokenlx.ai`. TokenLX transparently routes your requests to the optimal provider endpoint while preserving streaming, function-calling, and structured-output semantics.

Performance

Compare different providers across TokenLX · All locations.

Throughput
45
tok/s
Latency
156
ms
E2E Latency
200
ms
Tool Call Errors
0.08
%
Output Errors
0.39
%
Time to First Token
119
ms

Effective Pricing

Pricing is shown by the model billing method, using per-call or per-second prices and resolution tiers.

Per call
$0.03
Per call

Recent activity

Total usage per day on TokenLX (last 30 days).

Prompt
1.29B
Completion
2.13B
30d ago15d agotoday

Sample code & API

TokenLX normalizes requests and responses across providers. Use any OpenAI SDK or our native SDK.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.tokenlx.ai/v1",
    api_key="sk-tokenlx-...",
)

response = client.images.generate(
    model="qwen-image",
    prompt="A futuristic city skyline at sunset, photorealistic",
    size="1024x1024",
    n=1,
)
print(response.data[0].url)

Replace sk-aihubrouter-… with your key from the dashboard.