Fireworks AI · none caching
Dolphin 2.6 Mixtral 8x7b
Dolphin 2.6 Mixtral 8x7b on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.
Specifications
At a glance.
| Provider | Fireworks AI |
| Family | dolphin |
| 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 |
Measured by Zumik
What reuse looks like here.
Pricing, context, and capabilities for Dolphin 2.6 Mixtral 8x7b 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.
Call it
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="dolphin-2p6-mixtral-8x7b",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseFrequently asked
Dolphin 2.6 Mixtral 8x7b, answered.
How much does Dolphin 2.6 Mixtral 8x7b cost?
Dolphin 2.6 Mixtral 8x7b 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 Dolphin 2.6 Mixtral 8x7b's context window?
Dolphin 2.6 Mixtral 8x7b supports a 33K-token context window.
Does Dolphin 2.6 Mixtral 8x7b support prompt caching?
Yes. Fireworks AI uses Automatic prompt caching (serverless and dedicated) caching. In the Zumik corpus, Dolphin 2.6 Mixtral 8x7b shows a median cache capture of 76% on agent workloads.
Run Dolphin 2.6 Mixtral 8x7b with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.