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256K contextMultimodalReasoningResponses API

Kimi K2.6 on QuickSilver Pro

Kimi K2.6 is Moonshot's general-purpose agentic model for long-horizon planning, coding, and multimodal work. On QuickSilver Pro it is $0.45 input / $1.95 output per million tokens, at parity with the OpenRouter endpoint selected by this route, with no markup or discount. There's no clean OpenAI analog — if your evals are picking Claude Opus or GPT-5 for agentic depth, K2.6 is the open-source comparable to A/B test.

$0.45 input · $1.95 output per 1M tokens
ByRaullen Chai·Updated

At a glance

Context
256K tokens
Input / 1M
$0.45
Output / 1M
$1.95
Thinks by default
Yes

Long-horizon agentic / planning workloads where Opus-class depth matters.

Pricing comparison ($/1M tokens)

ProviderInputOutputvs QSP
QuickSilver Pro$0.45$1.95—
OpenRouter (moonshotai/kimi-k2.6)$0.45$1.95same

When to use

Multi-step planning agents that need to coordinate tools across long horizons, research / analyst agents that synthesize across many documents, complex code-review or refactor agents that plan before acting, and any workload where DeepSeek V4 Pro's pure-math reasoning isn't the same as K2.6's agentic / long-context planning. The 256K context fits a substantial codebase or research corpus.

When to use something else

For routine chat, coding, or short-context tasks, K2.6 is overpriced — use V4 Flash. For pure mathematical reasoning, V4 Pro wins. For a native tool ecosystem, Claude or OpenAI — though we serve Claude too, and 38 of our 83 models take image input.

Quickstart (curl)

curl https://api.quicksilverpro.io/v1/chat/completions \
  -H "Authorization: Bearer $QSP_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "kimi-k2.6",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

OpenAI-compatible. One-line migration via base_url.

FAQ

On the evals Moonshot published with the April 2026 release, K2.6 lands within striking distance of Claude Opus 4 on agentic tool-use benchmarks (Tau-bench, SWE-bench Verified) and ahead on long-context retrieval. Match on your own evals before committing — Opus has been finetuned in production longer and may still win on subjective quality for some tasks. If your selection process picks Opus, K2.6 is the open-source alternative worth A/B testing.

$0.45 input / $1.95 output and $0.045 cache read per million tokens, matching the route-selected OpenRouter endpoint (chutes int4) with no markup or discount. The route uses its pinned provider order or the cheapest eligible endpoint under sort: price and its quantization filters; the /models headline can differ. More expensive fallback hosts do not change your price. Use base_url=https://api.quicksilverpro.io/v1 and model="kimi-k2.6".

Yes — K2.6 is an OpenAI-compatible chat completions endpoint on QuickSilver Pro. Set base_url=https://api.quicksilverpro.io/v1, paste your QSP key, use model="kimi-k2.6". Streaming, tool calling, json_schema strict mode, and usage.cost accounting all work. K2.6 thinks by default; pass `reasoning: { enabled: false }` for non-thinking output (though for the workloads K2.6 is built for, you usually want the thinking trace).

Try Kimi K2.6 with double credits — up to $50 in bonus credits

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