Llama Guard 7B
Llama Guard 7B 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
4K
Context window
At a glance.
| Provider | Fireworks AI |
| Family | llama |
| Released | — |
| License | Open weights |
| Context window | 4K tokens |
| Max output | — |
| Parameters | 7B |
| 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 Llama Guard 7B 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="llamaguard-7b",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseLlama Guard 7B, answered.
How much does Llama Guard 7B cost?
Llama Guard 7B 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 Llama Guard 7B's context window?
Llama Guard 7B supports a 4K-token context window.
Run Llama Guard 7B with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.