Phind CodeLlama 34B Python v1
Phind CodeLlama 34B Python v1 on Zumik: live pricing, context, and caching, routable by id or alias through one OpenAI-compatible endpoint.
At a glance.
| Provider | Fireworks AI |
| Family | llama |
| Released | — |
| License | Open weights |
| Context window | 16K tokens |
| Max output | — |
| Parameters | 34B |
| Modalities | text |
| Tool calling | No |
| Reasoning mode | No |
| Caching | none |
| Batch discount | No batch tier |
What reuse looks like here.
Pricing, context, and capabilities for Phind CodeLlama 34B Python v1 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="phind-code-llama-34b-python-v1",
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reusePhind CodeLlama 34B Python v1, answered.
How much does Phind CodeLlama 34B Python v1 cost?
Phind CodeLlama 34B Python v1 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 Phind CodeLlama 34B Python v1's context window?
Phind CodeLlama 34B Python v1 supports a 16K-token context window.
Run Phind CodeLlama 34B Python v1 with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.