DeepSeek V3 vs Grok Code Fast 1

DeepSeek V3 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.

DeepSeek V3

A fast, chat-based, Mixture-of-Experts (MoE) model from DeepSeek.

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	DeepSeek V3	Grok Code Fast 1
Pricing	Paid	Paid
Price	$0.14 per million input tokens and $0.28 per million output tokens	<cite index="1-13">$0.20 per 1M input tokens, $1.50 per 1M output tokens, and $0.02 per 1M cached input tokens</cite>
Free trial	No	0 days
Open source	Yes	No
Has API	Yes	Yes
Self-hosted option	Yes	No
Platforms	Hugging Face, GitHub, DeepSeek API, multiple cloud providers (Cerebras, DeepInfra, Together, OpenRouter, Fireworks, Hyperbolic, SambaNova)	<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	Supports multiple languages, allowing input and output in several languages	<cite index="1-23">TypeScript, Python, Java, Rust, C++, and Go</cite>
Released	2024-12-26	2025-08-28
Pros	Cost-effective at $0.27 per million input tokens and $1.10 per million output tokens Fast throughput at approximately 60 tokens per second, 3x faster than DeepSeek-V2 Fully open-source weights available under MIT License for local deployment Performance comparable to GPT-4 and Claude 3.5 Sonnet Outperforms other open-source models across multiple benchmarks	<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	Context window significantly smaller than some competitors Does not support tool calling (functions) Does not support vision capabilities	<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

DeepSeek V3 is open source. Choose based on which difference matters most for your workflow.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.