grok-3-fast
Last Updated on: Sep 12, 2025
grok-3-fast
0
0Reviews
7Views
1Visits
Large Language Models (LLMs)
AI Chatbot
AI Content Generator
AI Developer Tools
AI Productivity Tools
AI Assistant
AI Knowledge Management
AI Knowledge Base
AI Reply Assistant
AI Email Assistant
AI Email Writer
AI Email Generator
AI Response Generator
AI Rewriter
AI Grammar Checker
AI Agents
AI Communication Assistant
AI Meeting Assistant
AI Customer Service Assistant
AI SEO Assistant
What is grok-3-fast?
Grok 3 Fast is xAI’s low-latency variant of their flagship Grok 3 model. It delivers identical output quality but responds faster by leveraging optimized serving infrastructure—ideal for real-time, speed-sensitive applications. It inherits the same multimodal, reasoning, and chain-of-thought capabilities as Grok 3, with a large context window of ~131K tokens.
Who can use grok-3-fast & how?
  • Developers & Engineers: Integrate into chatbots, live-support tools, or pipelines needing rapid responses.
  • Stems & Coding Teams: Use in prompt-heavy reasoning or debugging flows where speed matters.
  • Enterprises: Streamline high-throughput tasks—like document parsing or transactional Q&A.
  • Researchers & Analysts: Get faster responses without trading off depth or clarity.
  • Startups & Scaleups: Leverage full Grok 3 quality at lower latency for competitive UX.

How to Use Grok 3 Fast?
  • Access via xAI API: Available under the model ID `grok-3-fast-beta` (or `grok-3-fast`).
  • Submit Multimodal Prompts: Send text and optional images using the full 131K token context window.
  • Await Accelerated Response: Enjoy quicker turnaround compared to standard Grok 3, with same-quality outputs.
  • Monitor Usage & Cost: Charged at $5 per M input tokens and $25 per M output tokens.
  • Scale Integration: Compatible with OpenAI-style APIs—easily integrate via platforms like Promptfoo or Requesty.
What's so unique or special about grok-3-fast?
  • Speed with Parity: Same textual and reasoning results as flagship Grok 3 but served faster thanks to optimized infrastructure.
  • Large Context: Supports up to 131K tokens—ideal for complex, long-form tasks.
  • Consistent Quality: Doesn’t sacrifice output fidelity—just serves it quicker.
  • Multimodal & Reasoning Power: Still includes chain-of-thought, multimodal input, and structured outputs.
  • Standard API Integration: Works seamlessly in existing pipelines—OpenAI-compatible.
Things We Like
  • Identical reasoning, code, and multimodal abilities as Grok 3
  • Quickest response delivery—great for live systems
  • Large context window without quality trade-offs
  • Easy integration via existing OpenAI-style frameworks
  • Excellent for real-time, high-throughput environments
Things We Don't Like
  • Higher cost than standard Grok 3: $5/$25 per M tokens
  • Doesn’t include transparent thinking mode—use Grok‑3 Mini for that
  • "Big Brain" mode remains unavailable in fast tier—limited to flagship or Mini paths
Photos & Videos
Screenshot 1
Pricing
Freemium

Free Tier

$ 0.00

Limited access to Thinking
Limited access to DeepSearch
Limited access to DeeperSearch

Super Grok

$30/month

More Grok 3 - 100 Queries / 2h
More Aurora Images - 100 Images / 2h
Even Better Memory - 128K Context Window
Extended access to Thinking - 30 Queries / 2h
Extended access to DeepSearch - 30 Queries / 2h
Extended access to DeeperSearch - 10 Queries / 2h

API

$5/$25 per 1M tokens

Input - $5.00/M
Cached Input - $1.25/M
Output - $25.00/M
ATB Embeds
Reviews

Proud of the love you're getting? Show off your AI Toolbook reviews—then invite more fans to share the love and build your credibility.

Product Promotion

Add an AI Toolbook badge to your site—an easy way to drive followers, showcase updates, and collect reviews. It's like a mini 24/7 billboard for your AI.

Reviews

0 out of 5

Rating Distribution

5 star
0
4 star
0
3 star
0
2 star
0
1 star
0

Average score

Ease of use
0.0
Value for money
0.0
Functionality
0.0
Performance
0.0
Innovation
0.0

Popular Mention

FAQs

A low-latency version of Grok 3 with the same output quality, built for speed via optimized serving infrastructure.
Priced at $5 per million input tokens and $25 per million output tokens—higher than the standard $3/$15 Grok 3 rate.
Yes—the model outputs are identical to the flagship version; only response speed differs.
Use model IDs grok-3-fast-beta or grok-3-fast in the xAI API—supported via OpenAI-style clients.
Yes—but note standard Grok 3 Fast doesn’t expose thinking traces. For visible reasoning steps, choose Grok 3 Mini.

Similar AI Tools

OpenAI GPT 4o mini Realtime
0
0
6
0

GPT-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.

OpenAI GPT 4o mini Realtime
0
0
6
0

GPT-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.

OpenAI GPT 4o mini Realtime
0
0
6
0

GPT-4o Mini Realtime Preview is a lightweight, high-speed variant of OpenAI’s flagship multimodal model, GPT-4o. Built for blazing-fast, cost-efficient inference across text, vision, and voice inputs, this preview version is optimized for real-time responsiveness—without compromising on core intelligence. Whether you’re building chatbots, interactive voice tools, or lightweight apps, GPT-4o Mini delivers smart performance with minimal latency and compute load. It’s the perfect choice when you need responsiveness, affordability, and multimodal capabilities all in one efficient package.

Claude 3.5 Haiku
logo

Claude 3.5 Haiku

0
0
15
2

Claude 3.5 Haiku is Anthropic’s fastest and most economical model in the Claude 3 family. Optimized for ultra-low latency, it delivers swift, accurate responses across coding, chatbots, data extraction, and content moderation—while offering enterprise-grade vision understanding at significantly reduced cost

Claude 3.5 Haiku
logo

Claude 3.5 Haiku

0
0
15
2

Claude 3.5 Haiku is Anthropic’s fastest and most economical model in the Claude 3 family. Optimized for ultra-low latency, it delivers swift, accurate responses across coding, chatbots, data extraction, and content moderation—while offering enterprise-grade vision understanding at significantly reduced cost

Claude 3.5 Haiku
logo

Claude 3.5 Haiku

0
0
15
2

Claude 3.5 Haiku is Anthropic’s fastest and most economical model in the Claude 3 family. Optimized for ultra-low latency, it delivers swift, accurate responses across coding, chatbots, data extraction, and content moderation—while offering enterprise-grade vision understanding at significantly reduced cost

Claude 3 Sonnet
logo

Claude 3 Sonnet

0
0
10
1

Claude 3 Sonnet is Anthropic’s mid-tier, high-performance model in the Claude 3 family. It balances capability and cost, delivering intelligent responses for data processing, reasoning, recommendations, and image-to-text tasks. Sonnet offers twice the speed of previous Claude 2 models, supports vision inputs, and maintains a 200K‑token context window—all at a developer-friendly price of $3 per million input tokens and $15 per million output tokens.

Claude 3 Sonnet
logo

Claude 3 Sonnet

0
0
10
1

Claude 3 Sonnet is Anthropic’s mid-tier, high-performance model in the Claude 3 family. It balances capability and cost, delivering intelligent responses for data processing, reasoning, recommendations, and image-to-text tasks. Sonnet offers twice the speed of previous Claude 2 models, supports vision inputs, and maintains a 200K‑token context window—all at a developer-friendly price of $3 per million input tokens and $15 per million output tokens.

Claude 3 Sonnet
logo

Claude 3 Sonnet

0
0
10
1

Claude 3 Sonnet is Anthropic’s mid-tier, high-performance model in the Claude 3 family. It balances capability and cost, delivering intelligent responses for data processing, reasoning, recommendations, and image-to-text tasks. Sonnet offers twice the speed of previous Claude 2 models, supports vision inputs, and maintains a 200K‑token context window—all at a developer-friendly price of $3 per million input tokens and $15 per million output tokens.

Meta Llama 3
logo

Meta Llama 3

0
0
11
1

Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.

Meta Llama 3
logo

Meta Llama 3

0
0
11
1

Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.

Meta Llama 3
logo

Meta Llama 3

0
0
11
1

Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.

DeepSeek-V3-0324
logo

DeepSeek-V3-0324

0
0
12
1

DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.

DeepSeek-V3-0324
logo

DeepSeek-V3-0324

0
0
12
1

DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.

DeepSeek-V3-0324
logo

DeepSeek-V3-0324

0
0
12
1

DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.

DeepSeek-V2
logo

DeepSeek-V2

0
0
8
1

DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.

DeepSeek-V2
logo

DeepSeek-V2

0
0
8
1

DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.

DeepSeek-V2
logo

DeepSeek-V2

0
0
8
1

DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.

grok-2-vision
logo

grok-2-vision

0
0
11
0

Grok 2 Vision (also known as Grok‑2‑Vision‑1212 or grok‑2‑vision‑latest) is xAI’s multimodal variant of Grok 2, designed specifically for advanced image understanding and generation. Launched in December 2024, it supports joint text+image inputs up to 32,768 tokens, excelling in visual math reasoning (MathVista), document question answering (DocVQA), object recognition, and style analysis—while also offering photorealistic image creation via the FLUX.1 model.

grok-2-vision
logo

grok-2-vision

0
0
11
0

Grok 2 Vision (also known as Grok‑2‑Vision‑1212 or grok‑2‑vision‑latest) is xAI’s multimodal variant of Grok 2, designed specifically for advanced image understanding and generation. Launched in December 2024, it supports joint text+image inputs up to 32,768 tokens, excelling in visual math reasoning (MathVista), document question answering (DocVQA), object recognition, and style analysis—while also offering photorealistic image creation via the FLUX.1 model.

grok-2-vision
logo

grok-2-vision

0
0
11
0

Grok 2 Vision (also known as Grok‑2‑Vision‑1212 or grok‑2‑vision‑latest) is xAI’s multimodal variant of Grok 2, designed specifically for advanced image understanding and generation. Launched in December 2024, it supports joint text+image inputs up to 32,768 tokens, excelling in visual math reasoning (MathVista), document question answering (DocVQA), object recognition, and style analysis—while also offering photorealistic image creation via the FLUX.1 model.

grok-2-vision-latest
0
0
10
0

Grok 2 Vision is xAI’s advanced vision-enabled variant of Grok 2, launched in December 2024. It supports joint text + image inputs with a 32K-token context window, combining image understanding, document QA, visual math reasoning (e.g., MathVista, DocVQA), and photorealistic image generation via FLUX.1 (later complemented by Aurora). It scores state-of-the-art on multimodal tasks.

grok-2-vision-latest
0
0
10
0

Grok 2 Vision is xAI’s advanced vision-enabled variant of Grok 2, launched in December 2024. It supports joint text + image inputs with a 32K-token context window, combining image understanding, document QA, visual math reasoning (e.g., MathVista, DocVQA), and photorealistic image generation via FLUX.1 (later complemented by Aurora). It scores state-of-the-art on multimodal tasks.

grok-2-vision-latest
0
0
10
0

Grok 2 Vision is xAI’s advanced vision-enabled variant of Grok 2, launched in December 2024. It supports joint text + image inputs with a 32K-token context window, combining image understanding, document QA, visual math reasoning (e.g., MathVista, DocVQA), and photorealistic image generation via FLUX.1 (later complemented by Aurora). It scores state-of-the-art on multimodal tasks.

grok-2-vision-1212
logo

grok-2-vision-1212

0
0
7
1

Grok 2 Vision – 1212 is a December 2024 release of xAI’s multimodal large language model, fine-tuned specifically for image understanding and generation. It supports combined text and image inputs (up to 32,768 tokens) and excels in document question answering, visual math reasoning, object recognition, and photorealistic image generation powered by FLUX.1. It also supports API deployment for developers and enterprises.

grok-2-vision-1212
logo

grok-2-vision-1212

0
0
7
1

Grok 2 Vision – 1212 is a December 2024 release of xAI’s multimodal large language model, fine-tuned specifically for image understanding and generation. It supports combined text and image inputs (up to 32,768 tokens) and excels in document question answering, visual math reasoning, object recognition, and photorealistic image generation powered by FLUX.1. It also supports API deployment for developers and enterprises.

grok-2-vision-1212
logo

grok-2-vision-1212

0
0
7
1

Grok 2 Vision – 1212 is a December 2024 release of xAI’s multimodal large language model, fine-tuned specifically for image understanding and generation. It supports combined text and image inputs (up to 32,768 tokens) and excels in document question answering, visual math reasoning, object recognition, and photorealistic image generation powered by FLUX.1. It also supports API deployment for developers and enterprises.

grok-2-image-1212
logo

grok-2-image-1212

0
0
11
0

Grok 2 Image 1212 (also known as grok-2-image-1212) is xAI’s December 2024 release of their unified image generation and understanding model. Built on Grok 2, it combines Aurora-powered photorealistic image creation with strong multimodal comprehension—handling image editing, vision QA, chart interpretation, and document analysis—within a single API and 32,768-token context.

grok-2-image-1212
logo

grok-2-image-1212

0
0
11
0

Grok 2 Image 1212 (also known as grok-2-image-1212) is xAI’s December 2024 release of their unified image generation and understanding model. Built on Grok 2, it combines Aurora-powered photorealistic image creation with strong multimodal comprehension—handling image editing, vision QA, chart interpretation, and document analysis—within a single API and 32,768-token context.

grok-2-image-1212
logo

grok-2-image-1212

0
0
11
0

Grok 2 Image 1212 (also known as grok-2-image-1212) is xAI’s December 2024 release of their unified image generation and understanding model. Built on Grok 2, it combines Aurora-powered photorealistic image creation with strong multimodal comprehension—handling image editing, vision QA, chart interpretation, and document analysis—within a single API and 32,768-token context.

Meta Llama 3.2
logo

Meta Llama 3.2

0
0
7
0

Llama 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.

Meta Llama 3.2
logo

Meta Llama 3.2

0
0
7
0

Llama 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.

Meta Llama 3.2
logo

Meta Llama 3.2

0
0
7
0

Llama 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.

DeepSeek-R1-Distill
0
0
5
0

DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.

DeepSeek-R1-Distill
0
0
5
0

DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.

DeepSeek-R1-Distill
0
0
5
0

DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.

Editorial Note

This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.

If you have any suggestions or questions, email us at hello@aitoolbook.ai