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What is Kimi K3?
Kimi K3 is Moonshot AI’s most advanced model, designed for high-end reasoning, software engineering, multimodal understanding, knowledge work, and agentic AI applications. The model has 2.8 trillion parameters and is built on Kimi Delta Attention, a hybrid linear attention mechanism created for long-context performance. It also uses Attention Residuals and supports a native context window of up to 1 million tokens. This makes Kimi K3 suitable for tasks involving large codebases, long research materials, enterprise documentation, multi-file analysis, legal documents, technical manuals, and complex workflows. Kimi K3 always has thinking mode enabled, with reasoning effort configured through the reasoning_effort field and maximum effort currently supported as the default. Developers can use the model through an OpenAI-compatible API, making it easier to integrate with existing SDKs, clients, and application infrastructure. The model supports streaming responses with separate reasoning and final-answer deltas, allowing applications to display reasoning progress and final content differently. Kimi K3 also supports strict structured output with JSON Schema, partial mode for continuing from a prefix, custom tool calling, required tool use, and dynamic tool loading through system messages. Its vision capabilities support image and video inputs through base64 or uploaded files, enabling analysis of visual content alongside text. Automatic context caching helps workflows that reuse long prefixes, such as large knowledge bases or persistent system context, without requiring developers to manage cache IDs manually. By combining frontier-scale parameters, long-context processing, visual input, structured outputs, tool orchestration, and developer-friendly API compatibility, Kimi K3 gives teams a strong foundation for advanced AI agents, coding assistants, research systems, enterprise automation, and multimodal applications.
What is Big Pickle?
Big Pickle is an AI model available through OpenCode Zen, a provider that curates and validates models for coding-agent use cases. The model is listed under the OpenCode provider and can be accessed through an OpenAI-compatible completions API. Big Pickle supports text input and reasoning, making it suitable for developer workflows that require analysis, planning, code understanding, and multi-step execution. It is also described as supporting function calling, which helps developers connect model output with tools, agents, scripts, and automated workflows. Big Pickle’s large context window makes it useful for working with extended prompts, larger project files, documentation, codebases, and complex technical tasks. The model appears in OpenCode Zen’s model list alongside other coding and reasoning models, positioning it as part of a developer-focused model ecosystem. Third-party model directories list Big Pickle with free input and output token pricing, making it appealing for experimentation and cost-sensitive workloads. Developers can use Big Pickle for code assistance, refactoring, debugging, technical research, task decomposition, command-line workflows, and AI agent orchestration. Because some listings differ on exact output-token limits, teams should verify the current model configuration directly in their OpenCode environment before designing production workloads around a fixed limit. Big Pickle is especially useful for developers who want to test long-context AI coding workflows without committing to a more expensive model tier. Big Pickle helps engineering teams explore AI-assisted development, coding agents, tool calling, and long-context reasoning in a flexible and accessible way.
Media
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Integrations Supported
OpenCode
AiAssistWorks
Bash
Brokk
C#
Cerebras
Claude Code
Hermes Agent
JavaScript
Kimi
Integrations Supported
OpenCode
AiAssistWorks
Bash
Brokk
C#
Cerebras
Claude Code
Hermes Agent
JavaScript
Kimi
API Availability
Has API
API Availability
Has API
Pricing Information
$3 per 1M tokens (input)
Kimi K3 is priced per 1 million tokens:
Cached input: $0.30
Uncached input: $3.00
Output: $15.00
Context window: 1,048,576 tokens
Cached inputs cost 90% less than uncached inputs, while generated output is the most expensive token category. Prices exclude applicable taxes, which are calculated based on the customer’s jurisdiction.
Cached input: $0.30
Uncached input: $3.00
Output: $15.00
Context window: 1,048,576 tokens
Cached inputs cost 90% less than uncached inputs, while generated output is the most expensive token category. Prices exclude applicable taxes, which are calculated based on the customer’s jurisdiction.
Free Version
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Moonshot AI
Date Founded
2023
Company Location
China
Company Website
kimi.ai
Company Facts
Organization Name
OpenCode Zen
Company Website
opencode.ai/