Kimi K2.6
Kimi K2.6 — live on Gonka
Moonshot AI's production agentic coding model (Apr 2026 GA). Trillion-parameter MoE backbone with a new execution layer purpose-built for sustained autonomous operation.
Headline capabilities
- 12-hour autonomous runs with 4,000 coordinated steps
- Native agent-swarm orchestration up to 300 sub-agents — learned in the weights, not bolted on
- 262k token context with automatic compression
- 58.6% SWE-Bench Pro (top open-weight score), 66.7% Terminal-Bench 2.0
- Modified MIT license, OpenAI/Anthropic API-compatible
Use it from a block
from openai import OpenAI
client = OpenAI(base_url="/v1", api_key="sk-run-...") # auto-injected
resp = client.chat.completions.create(
model="moonshotai/Kimi-K2.6",
messages=[{"role": "user", "content": "hello"}],
)Why this matters on Gonka
The same swarm that costs ~$25–50 per run on Moonshot's hosted API runs at a fraction of a cent at Gonka rates — and during the free-tier window it's covered by Gonka Labs. The platform's agent-swarm block is already wired for it: pass model=moonshotai/Kimi-K2.6 to the same workflow you used yesterday with Qwen3 and you get smarter plans, longer coherence, and 300-agent fan-out.
6 blocks call this model
Multi-agent swarm — a supervisor decomposes your task into sub-tasks, runs them in parallel with shell / file / web tools, then reconciles into a single answer. Model-agnostic; swap in Kimi K2.6 the day Gonka exposes it.
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