DeepSeek-V4-Pro
Open-weights reasoning model with frontier-adjacent quality at open-weights prices. A common BYOC candidate when volume is concentrated.
At a glance.
| Provider | Fireworks AI |
| Family | deepseek_v4 |
| Released | 2026-04 |
| License | Open weights |
| Context window | 1M tokens |
| Max output | 384K tokens |
| Parameters | 1600B |
| Modalities | text |
| Tool calling | Yes |
| Reasoning mode | Yes |
| Caching | automatic |
| Batch discount | No batch tier |
What reuse looks like here.
What you actually pay once caching works.
At a typical 55% prefix reuse, a million input tokens on DeepSeek-V4-Pro effectively costs $0.86 instead of $1.74 - blending to roughly $1.52 with a 25% output share. There is no batch tier, so cost control here leans on caching and routing.
Estimate it for your workloadRoutes through these aliases:
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-v4-pro", # or an alias like code.balanced
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseHow DeepSeek-V4-Pro stacks up.
Other options for these workloads.
DeepSeek-V4-Pro, answered.
How much does DeepSeek-V4-Pro cost?
DeepSeek-V4-Pro is $1.74 per million input tokens and $3.48 per million output tokens through Zumik. Cache reads are $0.14 per million, a 92% discount on input.
What is DeepSeek-V4-Pro's context window?
DeepSeek-V4-Pro supports a 1M-token context window with up to 384K output tokens.
Does DeepSeek-V4-Pro support prompt caching?
Yes. Fireworks AI uses Automatic prompt caching (serverless and dedicated) caching. In the Zumik corpus, DeepSeek-V4-Pro shows a median cache capture of 80% on agent workloads.
Which Zumik aliases route to DeepSeek-V4-Pro?
DeepSeek-V4-Pro is a candidate for the code.balanced, reasoning.best, auto.cheapest aliases, selected when it wins under current routing policy.
Run DeepSeek-V4-Pro with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.