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New256K contextOpus-class

Kimi K2.6 on QuickSilver Pro

Kimi K2.6 is Moonshot's April 2026 frontier release positioned for Opus-class agentic and long-horizon planning workloads. On QuickSilver Pro it's $0.584 input / $2.79 output per 1M tokens, ~20% below OpenRouter's $0.73 / $3.49. 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 at a fraction of the per-token price.

$0.58 input · $2.79 output per 1M tokens
ByRaullen Chai·Updated

At a glance

Context
256K tokens
Input / 1M
$0.58
Output / 1M
$2.79
Thinks by default
Yes

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

Pricing comparison ($/1M tokens)

ProviderInputOutputvs QSP
QuickSilver Pro$0.58$2.79cheapest
OpenRouter (moonshotai/kimi-k2.6)$0.73$3.4920% cheaper

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 R1'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 or V3. For pure mathematical reasoning, R1 wins. For closed-model strengths (vision, native tool ecosystem), Claude or OpenAI.

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. Same model as OpenRouter; 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.

K2.6 is a frontier-tier model and Moonshot's serving cost reflects that. We pass through ~20% below OpenRouter ($0.73 / $3.49) but the underlying compute is genuinely more expensive than V3/V4 Flash. For Opus-class workloads, $2.79/M output is still a meaningful discount compared to Claude Opus 4 at ~$75/M output — about 27x cheaper per token.

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).

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