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Qwen3 30B A3B Thinking 2507

Qwen3 30B A3B Thinking 2507 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_moe
Released—
LicenseOpen weights
Context window262K tokens
Max output—
Parameters31B
Modalitiestext
Tool callingYes
Reasoning modeYes
Cachingnone
Batch discountNo batch tier

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for Qwen3 30B A3B Thinking 2507 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="qwen3-30b-a3b-thinking-2507",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

Qwen3 30B A3B Thinking 2507, answered.

How much does Qwen3 30B A3B Thinking 2507 cost?

Qwen3 30B A3B Thinking 2507 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 Qwen3 30B A3B Thinking 2507's context window?

Qwen3 30B A3B Thinking 2507 supports a 262K-token context window.

Run Qwen3 30B A3B Thinking 2507 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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