Deepseek v3.2
Deepseek v3.2 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
164K
Context window
At a glance.
| Provider | Fireworks AI |
| Family | deepseek_v32 |
| Released | — |
| License | Open weights |
| Context window | 164K tokens |
| Max output | — |
| Parameters | 672B |
| Modalities | text |
| Tool calling | Yes |
| Reasoning mode | Yes |
| Caching | none |
| Batch discount | No batch tier |
What reuse looks like here.
Not yet profiled
Pricing, context, and capabilities for Deepseek v3.2 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.
from openai import OpenAI
client = OpenAI(base_url="https://api.zumik.ai/v1", api_key="zk_live_...")
r = client.responses.create(
model="deepseek-v3p2",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseDeepseek v3.2, answered.
How much does Deepseek v3.2 cost?
Deepseek v3.2 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 Deepseek v3.2's context window?
Deepseek v3.2 supports a 164K-token context window.
Run Deepseek v3.2 with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.