Moonshot AI Kimi K2 Thinking

Kimi K2 Thinking by Moonshot AI excels in the Coding category, where it ranks #164 with a composite score of 53/100. Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Kimi K2 Thinking is priced at $0.60 per million input tokens and $2.50 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Kimi K2 Thinking holds rank #164 out of 340 models tracked. Its quality rank is #164 and adoption rank is #164. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Kimi K2 Thinking has been evaluated across 6 different signals. Its strongest areas include Capabilities (67/100), Benchmarks (51/100), Pricing (98/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 53/100 reflects a weighted combination of all tracked signals.

Kimi K2 Thinking is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Moonshot AI's website for current free tier availability and promotional offers.

Kimi K2 Thinking supports a 262K token context window (262,144 tokens total). That translates to roughly 196,608 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.

Kimi K2 Thinking can generate up to 262K output tokens (262,144 tokens) per response. That is roughly 196,608 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

Kimi K2 Thinking supports function/tool calling, structured JSON output, extended reasoning/chain-of-thought, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.

Yes, Kimi K2 Thinking is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

Kimi K2 Thinking was developed by Moonshot AI. It was released on November 6, 2025. You can access it through Moonshot AI's API or download the model weights directly. Check our provider page for all models from Moonshot AI and how they compare against each other.

Pick Kimi K2 Thinking when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Kimi K2 Thinking through Moonshot AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.