DeepSeek Coder 7B Instruct v1.5
DeepSeek Coder 7B Instruct v1.5 on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.
At a glance.
| Provider | Fireworks AI |
| Family | llama |
| Released | — |
| License | Open weights |
| Context window | 4K tokens |
| Max output | — |
| Parameters | 7B |
| Modalities | text |
| Tool calling | No |
| Reasoning mode | Yes |
| Caching | none |
| Batch discount | No batch tier |
What reuse looks like here.
Pricing, context, and capabilities for DeepSeek Coder 7B Instruct v1.5 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-coder-7b-instruct-v1p5",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseDeepSeek Coder 7B Instruct v1.5, answered.
How much does DeepSeek Coder 7B Instruct v1.5 cost?
DeepSeek Coder 7B Instruct v1.5 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 Coder 7B Instruct v1.5's context window?
DeepSeek Coder 7B Instruct v1.5 supports a 4K-token context window.
Run DeepSeek Coder 7B Instruct v1.5 with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.