Agnt vs Grok Code Fast 1

Agnt and Grok Code Fast 1 are both large language models tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Agnt

AGNT is a local-first agent operating system built around an AGI loop: the agent executes a step, evaluates the result, and re-plans before moving forward — without you steering each decision. Persistent memory and skill layers mean context survives across sessions, not just within a single run. The visual workflow designer handles repeatable paths; goal-mode hands the agent an objective and lets it figure out the steps. Self-hosted deployment with Docker keeps data on your own infrastructure, which matters when your legal team has opinions about where prompts and outputs live. The custom license — not OSI-standard — is the detail that stops procurement at some organizations before the first demo.

Grok Code Fast 1

<cite index="2-1">Released in late August 2025, the xAI Grok Code Fast 1 model is a coding-focused AI model that excels at common, high-volume coding task and is designed especially for agentic coding workflows.</cite> <cite index="1-6,1-7,1-8">Built from scratch with a brand-new model architecture, it was trained on a pre-training corpus rich with programming-related content, and curated high-quality datasets that reflect real-world pull requests and coding tasks.</cite> <cite index="1-23">The model is particularly adept at TypeScript, Python, Java, Rust, C++, and Go.</cite> <cite index="1-13">The model is generally available via the xAI API, priced at $0.20 / 1M input tokens, $1.50 / 1M output tokens, and $0.02 / 1M cached input tokens.</cite>

Attribute	Agnt	Grok Code Fast 1
Pricing	Paid	Paid
Price	$0 or $333/year per additional user for hosted version	$30/month
Free trial	No	0 days
Open source	Yes	No
Has API	Yes	Yes
Self-hosted option	Yes	No
Platforms	Desktop (Windows, macOS, Linux), Docker, Kubernetes, headless server, VPS, homelab, Raspberry Pi	<cite index="30-1">Available through xAI API and integrated with launch partners including GitHub Copilot, Cursor, Cline, Roo Code, Kilo Code, opencode, and Windsurf</cite>
Languages	—	<cite index="1-23">TypeScript, Python, Java, Rust, C++, and Go</cite>
Released	—	2025-08-28
Pros	AGI loop (execute → evaluate → re-plan) means the agent adapts when a step returns an unexpected result, so you aren't rebuilding the workflow every time real data doesn't match the demo assumption. Persistent memory across sessions, so an agent working a multi-step task over hours or days carries context forward — without this, every run starts from zero and you hand-manage state yourself. Local-first Docker deployment with no execution-based billing, which means compliance-sensitive teams can run agents on internal data without renegotiating data processing agreements or watching a cost meter. Goal-mode lets you set an objective and let the agent sequence its own steps, so you aren't manually building every branch for tasks where the path depends on intermediate results. Plugin and subagent architecture allows parallel delegation, so work that can happen simultaneously doesn't queue behind a single-threaded pipeline.	<cite index="2-25,2-26">Massive throughput of approximately 90-100 tokens per second, delivering dozens of tool calls and edits before you finish reading its initial plan in IDE integrations</cite> <cite index="1-13">Economical pricing at $0.20/1M input tokens and $1.50/1M output tokens</cite> <cite index="2-27,2-28,2-29">Visible reasoning traces that provide real-time, summarized view of its reasoning process, helping developers catch logic errors early</cite> <cite index="1-22">Prompt caching optimizations regularly achieving cache hit rates above 90% when used with launch partners</cite>
Cons	The license is a custom non-OSI-standard document — not MIT, Apache, or GPL. Teams at enterprises or funded startups with formal open-source review processes cannot deploy to production until legal clears it, and that process adds weeks to any timeline. Some teams skip the review entirely and move to a competitor with a standard license. Community support is thin: a few hundred stars and a handful of open issues means when you hit an edge case in the re-planning loop or a plugin integration, there is precious little in forums or Stack Overflow to guide you. You are reading source code. The visual workflow designer handles linear and moderately branched paths well; deeply conditional logic — branching based on what the third or fourth agent returned — pushes against what a canvas can express cleanly. Teams building that complexity end up extending with code outside the visual layer, at which point they are maintaining two systems.	<cite index="6-31,6-34">Potential gaps in training on specific frameworks; poor performance on Tailwind CSS v3 tasks, suggesting possible smaller model size limitations</cite> <cite index="6-36">Its reasoning model nature makes it unsuitable for interactive workflows requiring fast responses despite fast token throughput</cite>

Bottom line

Agnt is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Agnt and Grok Code Fast 1?

Agnt is Paid and open source, while Grok Code Fast 1 is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Agnt better than Grok Code Fast 1?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.