Qwen QWQ 32B Preview

Qwen QWQ 32B Preview on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.

Input / 1M tokens
Output / 1M tokens
Cache read
33K
Context window

At a glance.

ProviderFireworks AI
Familyqwen2
Released
LicenseOpen weights
Context window33K tokens
Max output
Parameters33B
Modalitiestext
Tool callingNo
Reasoning modeYes
Cachingnone
Batch discountNo batch tier

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for Qwen QWQ 32B Preview are live, but it is outside the flagship set Zumik benchmarks in depth, so measured reuse, capture, and warm TTFT are not shown yet. Run a workload estimate or route it by id to start collecting traces.

Same OpenAI client, this model.

python
from openai import OpenAI

client = OpenAI(base_url="https://api.zumik.ai/v1", api_key="zk_live_...")

r = client.responses.create(
    model="qwen-qwq-32b-preview",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

Qwen QWQ 32B Preview, answered.

How much does Qwen QWQ 32B Preview cost?

Qwen QWQ 32B Preview is an open-weights model routed through Fireworks AI. It is priced on the host's serverless size tier rather than a single published per-token list price, so it shows "—" here until profiled.

What is Qwen QWQ 32B Preview's context window?

Qwen QWQ 32B Preview supports a 33K-token context window.

Run Qwen QWQ 32B Preview with reuse measured.

Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.