Written by  
[Juan Pablo Flores](/content/blog/author/juan/index.html)

Published on  
September 5, 2025

# Kimi K2-0905: Moonshot’s Latest Open-Source Model is Live in Cline

Three major capabilities land in Kimi K2-0905 that fundamentally change how coding agents operate: **256k context window**, **improved tool calling**, and **enhanced capabilities for front-end development**. The model is live in Cline via the **Groq** (serving at ~349 TPS), **Moonshot**, **OpenRouter**, **Fireworks**, and **Cline** providers.

## What changed from July

The July checkpoint put Kimi K2 on the map with strong tool calling and consistent diff generation (currently at 5%, which rivals Sonnet-4 at 4% and bests Gemini 2.5 Pro at 10%). K2-0905 builds on that foundation with focus on the capabilities that matter most for agent workflows.

### Context window that actually scales

**From 131k to 262k tokens** help you work with larger codebases, conversation histories, and test suites in memory without the typical degradation at context boundaries.

The model's attention mechanism was specifically tuned for long-context scenarios. Token allocation is smarter, coherence is maintained across the full window, and you can finally stop engineering around context limits.

## Performance characteristics and limitations

- **Speed**: Groq delivers responses fast enough that model latency stops being a workflow bottleneck. ~349 TPS serving capacity handles production workloads without throttling. Expect some warmup time on first requests (2-3 seconds), but subsequent requests in the same session are significantly faster.
- **Context efficiency**: The 256k window maintains coherence without the typical degradation you see in other long-context models. Long conversations stay focused, and the model doesn't lose track of earlier context when processing later tokens.
- **Tool reliability**: Expect consistent structured outputs with ~95% or better first-try success rate on well-formed tool schemas. The model rarely produces malformed JSON or unexpected parameter variations.
- **Frontend Improvements**: Moonshot has noted that K2-0905 is improved at frontend coding than its predecessor. We recommend using K2-0905 in Act mode where it can execute on the plan devised by a reasoning model.

## Setup in Cline

Kimi-K2-0905 is available via the Cline, Groq, Fireworks, Vercel AI Gateway, and OpenRouter providers. It’s still **$1/$3 in/out per 1M** tokens through most providers, however, as an open-source model this can vary.
