12.7
Intelligence Index
Above 44% of 106 other free models
Mo
Kimi K2 Instruct
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...
- Input
- text
- Output
- text
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* The provider match may differ from this model. Check its docs for details.
Benchmarks
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Scores from Artificial AnalysisFrequently asked questions
Free access, setup, and what to expect.
Free API access for Kimi K2 Instruct is listed through Vercel AI Gateway, but a specific request or token allowance isn’t available in the listed data. Check the Kimi K2 Instruct provider pricing and rate limits for what’s included and any account requirements.
To use Kimi K2 Instruct, choose one of the listed Kimi K2 Instruct API providers and follow the provider’s account and API-key setup guide. Copy the Kimi K2 Instruct model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Kimi K2 Instruct accepts text as listed input formats. Listed output formats include text. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Kimi K2 Instruct documentation for supported file types and request formats.
Kimi K2 Instruct has a listed context window of 131K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Kimi K2 Instruct may be smaller than the context window and can vary by provider.
Kimi K2 Instruct has tool calling support listed; reasoning support isn’t listed. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
Review the listed Kimi K2 Instruct benchmark results to compare performance on measured tasks. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Kimi K2 Instruct on examples from your own task alongside context size and provider limits.