Snorkel Mistral PairRM DPO

Snorkel Mistral PairRM 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
Familymistral
Released
LicenseOpen weights
Context window33K tokens
Max output
Parameters7B
Modalitiestext
Tool callingNo
Reasoning modeNo
Cachingnone
Batch discountNo batch tier

What reuse looks like here.

Not yet profiled

Pricing, context, and capabilities for Snorkel Mistral PairRM 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="snorkel-mistral-7b-pairrm-dpo",
    input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached)   # confirm reuse

Snorkel Mistral PairRM DPO, answered.

How much does Snorkel Mistral PairRM DPO cost?

Snorkel Mistral PairRM 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 Snorkel Mistral PairRM DPO's context window?

Snorkel Mistral PairRM DPO supports a 33K-token context window.

Run Snorkel Mistral PairRM DPO with reuse measured.

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