Kimi K2.7 Code vs Grok Build 0.1
Compare Kimi K2.7 Code and Grok Build 0.1 side-by-side. See comparisons of price, response speed, accuracy, and file support to choose the best model for your task.
Overview
Kimi K2.7 Code vs Grok Build 0.1 Overview
Everything you need to know about these AI models, including capabilities, performance, pricing, and technical details.
Kimi / Kimi K2.7 Code
proDescription
Moonshot AI's coding-specialized model, built on K2.6 for end-to-end software engineering. Kimi K2.7 Code is shaped around real developer work: reading a repository, planning a multi-file change, running tools, and debugging across many steps. It reads text, images, and video, always reasons before answering, and Moonshot reports it using notably fewer reasoning tokens than its predecessor. Text-focused coding, with a large context. Open weights under a modified MIT license.
xAI / Grok Build 0.1
proDescription
xAI's coding model, purpose-built for autonomous software engineering rather than chat. Grok Build 0.1 acts as an engineering agent: it reasons through a problem, writes code, runs your terminal, checks for errors, and fixes its own mistakes in a loop. It reads text and images, always reasons before answering, and natively supports Model Context Protocol. Built for long-horizon coding that runs with little supervision, at a low cost, tuned for agent loops.
About
About
Capabilities
Capabilities
Comparison
Why Use Kimi K2.7 Code and Grok Build 0.1?
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Kimi / Kimi K2.7 Code
proEnd-To-End Coding
Moonshot's most capable coding model, purpose-built for repository-scale work: multi-file changes, refactors, and debugging over long agent sessions. Reports higher end-to-end success rates on real software engineering than K2.6.
Efficient Mandatory Thinking
Always reason before answering, with no non-thinking mode. Moonshot reports roughly 30% fewer reasoning tokens than K2.6 and less overthinking, which compound into real savings across long agent runs.
Repository-Scale Context
A large context window, roughly 190,000 words. Enough to hold multiple source files, configuration, documentation, and a long agent transcript at once, without chunking a real codebase.
Reliable Instruction Following
Moonshot emphasizes reliable instruction following across long contexts, carrying a task through to completion. Built for structured coding work and tool output rather than long-form prose.
Multi-Step Tool Use
Supports multi-step tool invocation, reasoning, planning, and acting across multiple steps. It can even inspect a video clip through a tool called to reason about timestamps, useful for debugging UI or recorded test runs.
Text Image And Video
A MoonViT vision encoder gives it native image and video input alongside text, with text output. Unusual for a coding model, and useful for turning screenshots or recordings into fixes.
xAI / Grok Build 0.1
proAutonomous Engineering Agent
Purpose-built to act as an engineering agent, not a code generator. Refactors across a codebase, invokes tools, runs tests, and iterates through multi-step development tasks, picking up your project conventions as it works.
Reasoning Always On
Every response includes structured reasoning before the final output, and effort is not configurable. Built for deliberate, multi-step work rather than instant answers, so it plans before it acts.
Repository-Scale Context
A large context window, roughly 190,000 words, is sufficient to hold a substantial codebase or a long agent history in a single session. Reporting notes no fixed output cap, so it can refactor large files in one go.
Structured Code Output
Supports structured outputs and a JSON schema, so it slots into agent pipelines and developer tooling. Built to produce parseable, tool-ready output rather than long-form prose.
Native MCP And Tool Use
Natively supports Model Context Protocol, so internal knowledge bases, proprietary APIs, and MCP servers plug in directly. Built to work inside existing developer tooling rather than a closed ecosystem.
Text And Image Input
xAI lists text and image input, with text output. Send source code, diagrams, UI mockups, or error screenshots in the same request. Audio and video are not supported.
Why Aymo
Why chat with Kimi K2.7 Code and Grok Build 0.1 on Aymo AI?
Aymo gives you more than access to Kimi K2.7 Code and Grok Build 0.1—it provides a complete multi-model AI workspace designed for productivity.
Compare Responses
See how Kimi K2.7 Code and Grok Build 0.1 performs alongside Claude, Gemini, Grok, and other leading AI models.
One Workspace
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Upload Once
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