Mixtral 8x7B v0.1
Mixtral 8x7B v0.1 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.
| Provider | Fireworks AI |
| Family | mixtral |
| Released | — |
| License | Open weights |
| Context window | 33K tokens |
| Max output | — |
| Parameters | 46B |
| Modalities | text |
| Tool calling | No |
| Reasoning mode | No |
| Caching | none |
| Batch discount | No batch tier |
What reuse looks like here.
Not yet profiled
Pricing, context, and capabilities for Mixtral 8x7B v0.1 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",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseMixtral 8x7B v0.1, answered.
How much does Mixtral 8x7B v0.1 cost?
Mixtral 8x7B v0.1 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 8x7B v0.1's context window?
Mixtral 8x7B v0.1 supports a 33K-token context window.
Run Mixtral 8x7B v0.1 with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.