Nouse Hermes 2 Mixtral 8x7B DPO

Nouse Hermes 2 Mixtral 8x7B DPO 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
33K
Context window

At a glance.

ProviderFireworks AI
Familymixtral
Released
LicenseOpen weights
Context window33K tokens
Max output
Parameters47B
Modalitiestext
Tool callingNo
Reasoning modeNo
Cachingnone
Batch discountNo batch tier

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for Nouse Hermes 2 Mixtral 8x7B DPO 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="nous-hermes-2-mixtral-8x7b-dpo",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

Nouse Hermes 2 Mixtral 8x7B DPO, answered.

How much does Nouse Hermes 2 Mixtral 8x7B DPO cost?

Nouse Hermes 2 Mixtral 8x7B DPO 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 Nouse Hermes 2 Mixtral 8x7B DPO's context window?

Nouse Hermes 2 Mixtral 8x7B DPO supports a 33K-token context window.

Run Nouse Hermes 2 Mixtral 8x7B DPO with reuse measured.

Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.