Mixtral MoE 8x7B Instruct (HF version)
Mixtral MoE 8x7B Instruct (HF version) on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.
At a glance.
| Provider | Fireworks AI |
| Family | mixtral |
| Released | — |
| License | Open weights |
| Context window | 33K tokens |
| Max output | — |
| Parameters | 47B |
| Modalities | text |
| Tool calling | No |
| Reasoning mode | No |
| Caching | none |
| Batch discount | No batch tier |
What reuse looks like here.
Pricing, context, and capabilities for Mixtral MoE 8x7B Instruct (HF version) 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="mixtral-8x7b-instruct-hf",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseMixtral MoE 8x7B Instruct (HF version), answered.
How much does Mixtral MoE 8x7B Instruct (HF version) cost?
Mixtral MoE 8x7B Instruct (HF version) 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 Mixtral MoE 8x7B Instruct (HF version)'s context window?
Mixtral MoE 8x7B Instruct (HF version) supports a 33K-token context window.
Run Mixtral MoE 8x7B Instruct (HF version) with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.