Kimi K2.6
Open-weights agentic model tuned for tool use. Long, stable tool registries make it a good reuse case under automatic caching.
At a glance.
| Provider | Fireworks AI |
| Family | kimi_k25 |
| Released | 2026-04 |
| License | Open weights |
| Context window | 262K tokens |
| Max output | 262K tokens |
| Parameters | 1029B |
| Modalities | text, image |
| Tool calling | Yes |
| Reasoning mode | Yes |
| Caching | automatic |
| Batch discount | No batch tier |
What reuse looks like here.
What you actually pay once caching works.
At a typical 55% prefix reuse, a million input tokens on Kimi K2.6 effectively costs $0.52 instead of $0.95 - blending to roughly $1.39 with a 25% output share. There is no batch tier, so cost control here leans on caching and routing.
Estimate it for your workloadRoutes through these aliases:
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="kimi-k2p6", # or an alias like code.balanced
input="Draft a fix for the failing test.",
)
print(r.usage.input_tokens_cached) # confirm reuseHow Kimi K2.6 stacks up.
Other options for these workloads.
Kimi K2.6, answered.
How much does Kimi K2.6 cost?
Kimi K2.6 is $0.95 per million input tokens and $4.00 per million output tokens through Zumik. Cache reads are $0.16 per million, a 83% discount on input.
What is Kimi K2.6's context window?
Kimi K2.6 supports a 262K-token context window with up to 262K output tokens.
Does Kimi K2.6 support prompt caching?
Yes. Fireworks AI uses Automatic prompt caching (serverless and dedicated) caching. In the Zumik corpus, Kimi K2.6 shows a median cache capture of 81% on agent workloads.
Which Zumik aliases route to Kimi K2.6?
Kimi K2.6 is a candidate for the code.balanced, auto.cheapest aliases, selected when it wins under current routing policy.
Run Kimi K2.6 with reuse measured.
Point an OpenAI client at Zumik and see exactly how much of this model's input you are reusing.