Mistral 7B Instruct v0.3
Mistral 7B Instruct v0.3 on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.
At a glance.
| Provider | Fireworks AI |
| Family | mistral |
| Released | — |
| License | Open weights |
| Context window | 33K tokens |
| Max output | — |
| Parameters | 7B |
| Modalities | text |
| Tool calling | Yes |
| Reasoning mode | No |
| Caching | none |
| Batch discount | No batch tier |
What reuse looks like here.
Pricing, context, and capabilities for Mistral 7B Instruct v0.3 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="mistral-7b-instruct-v3",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseMistral 7B Instruct v0.3, answered.
How much does Mistral 7B Instruct v0.3 cost?
Mistral 7B Instruct v0.3 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 Mistral 7B Instruct v0.3's context window?
Mistral 7B Instruct v0.3 supports a 33K-token context window.
Run Mistral 7B Instruct v0.3 with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.