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Qwen 3.5 122B A10B

Qwen 3.5 122B A10B on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.

Call it through ZumikAbout Fireworks AI
—
Input / 1M tokens
—
Output / 1M tokens
—
Cache read
262K
Context window

At a glance.

ProviderFireworks AI
Familyqwen3_5_moe
Released—
LicenseOpen weights
Context window262K tokens
Max output—
Parameters123B
Modalitiestext, image
Tool callingYes
Reasoning modeYes
Cachingnone
Batch discountNo batch tier

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for Qwen 3.5 122B A10B 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="qwen3p5-122b-a10b",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

Qwen 3.5 122B A10B, answered.

How much does Qwen 3.5 122B A10B cost?

Qwen 3.5 122B A10B 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 3.5 122B A10B's context window?

Qwen 3.5 122B A10B supports a 262K-token context window.

Run Qwen 3.5 122B A10B with reuse measured.

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

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