LLMmoonshotai

MoonshotAI: Kimi K2.6 (free)

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...

Anyone in the Space can @-mention MoonshotAI: Kimi K2.6 (free) with the team's shared context — pooled credits, one chat, one memory.

All models

Starter is free forever — 1 Space, 100 credits/month, 1 MCP. No card.

Verdict

Kimi K2.6 is MoonshotAI's zero-cost offering with a 262K token context window — rare at this price point. It handles Chinese and English text plus image inputs, making it useful for multilingual document work and vision tasks where cost is the primary constraint. Performance lags behind frontier models on complex reasoning, but the price and context length make it a solid fallback for high-volume, lower-stakes workflows. Reach for this when you need long-context processing at scale and can tolerate mid-tier accuracy.

Best for

  • Zero-budget long-context document processing
  • Multilingual Chinese-English translation tasks
  • High-volume content moderation workflows
  • Vision tasks with tight cost constraints
  • Prototyping before committing to paid models

Strengths

The 262K context window at zero cost is the standout feature — most free-tier models cap out at 32K or less. Native Chinese language support is strong, reflecting MoonshotAI's domestic focus. Image understanding works reliably for straightforward visual tasks like OCR, chart reading, and basic scene description. The model handles long documents without the context-splitting gymnastics required by shorter-window alternatives, which simplifies workflows for legal contracts, research papers, and multi-page reports.

Trade-offs

Reasoning quality trails GPT-4o and Claude Sonnet on multi-step logic problems and nuanced instruction-following. Latency can spike during peak hours, typical of free-tier infrastructure. English fluency is competent but less polished than models trained primarily on Western corpora — expect occasional awkward phrasing in creative writing or marketing copy. Vision capabilities are functional but shallow compared to GPT-4o or Gemini Pro Vision; complex diagrams or fine-grained visual reasoning will hit limits quickly.

Specifications

Provider
moonshotai
Category
llm
Context length
262,144 tokens
Max output
Modalities
text, image
License
proprietary
Released
2026-04-20

Pricing

Input
$0.00/Mtok
Output
$0.00/Mtok
Model ID
moonshotai/kimi-k2.6:free

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool — one plan, one balance for everyone.

Team cost calculator

Estimated monthly spend
Freeno token cost
17.6M tokens / month
5 seats · 80 msgs/day

Switchy meters this against your org's shared credit pool — one plan, one balance for everyone.

Providers

ProviderContextInputOutputP50 latencyThroughput30d uptime
moonshotai262k$0.00/Mtok$0.00/Mtok

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

Public benchmark scores are not available yet for this model. Check back after the next ingestion run.

Works well with

Top MCPs

Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.

How Switchy teams use it

Not enough Spaces have used this model yet to share anonymised team stats. We wait for at least 50 distinct Spaces per week before publishing any aggregate.

Starter prompts

Summarize Long Contract

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Data last verified 2 hours ago.Sources aggregated hourly to weekly. See docs/architecture/model-directory.md.