Gemma 2B Instruct
Gemma 2B Instruct 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
8K
Context window
At a glance.
| Provider | Fireworks AI |
| Family | gemma |
| Released | — |
| License | Open weights |
| Context window | 8K tokens |
| Max output | — |
| Parameters | 3B |
| 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 Gemma 2B Instruct 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="gemma-2b-it",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseGemma 2B Instruct, answered.
How much does Gemma 2B Instruct cost?
Gemma 2B Instruct 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 Gemma 2B Instruct's context window?
Gemma 2B Instruct supports a 8K-token context window.
Run Gemma 2B Instruct with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.