grok-3-mini-fast
Last Updated on: Sep 12, 2025
grok-3-mini-fast
0
0Reviews
6Views
0Visits
Large Language Models (LLMs)
AI Developer Tools
AI Chatbot
AI Assistant
AI Productivity Tools
AI Knowledge Management
AI Knowledge Base
AI Content Generator
AI Education Assistant
AI Email Assistant
AI Email Writer
AI Response Generator
AI API Design
AI Tools Directory
AI Workflow Management
AI Customer Service Assistant
AI Analytics Assistant
AI DevOps Assistant
What is grok-3-mini-fast?
Grok 3 Mini Fast is the low-latency, high-performance version of xAI’s Grok 3 Mini model. Released in beta around May 2025, it offers the same visible chain-of-thought reasoning as Grok 3 Mini but delivers responses significantly faster, powered by optimized infrastructure. It supports up to 131,072 tokens of context.
Who can use grok-3-mini-fast & how?
  • Developers & Engineers: Integrate transparent reasoning in live apps or bots with minimal delay.
  • Education & Tutoring: Provide real-time chain-of-thought outputs during live problem-solving.
  • Enterprises: Deploy logic-driven AI in transactional workflows or chat interfaces requiring quick responses.
  • Startups & Scaleups: Gain reasoning features without sacrificing interactivity or speed.
  • Analysts & Researchers: Evaluate high-efficiency reasoning performance in low-latency settings.

How to Use Grok 3 Mini Fast?
  • Access via xAI API / Oracle Cloud: Use the model ID `grok-3-mini-fast-beta`. Available in Oracle’s Generative AI and xAI’s API.
  • Submit Prompts with Think: Include `"reasoning_effort": "high"` or tap “Think” in UI to get visible chain-of-thought reasoning.
  • Send Multimodal Context: Use text and optional images within a 131K-token limit.
  • Deploy with Speed: Leverage fast serving for up to 210 tokens/sec and 0.32s initial latency.
  • Manage Cost: Input token cost ≈ $0.35/M; higher serving fees reflect output and speed.
What's so unique or special about grok-3-mini-fast?
  • Fastest Reasoning Variant: Same transparent chain-of-thought as Mini, but served on ultra-low latency infrastructure.
  • Visible Logic Traces: Delivers step-by-step reasoning trace with each response.
  • Optimized Performance: Output speeds 209 tokens/sec, 0.32s to first token—very responsive for reasoning pipelines.
  • Large Context Support: Handles up to 131,072 tokens—ideal for lengthy dialogue, documents, or code.
  • Consistent Quality: Uses identical model weights as Grok 3 Mini, ensuring reasoning fidelity.
Things We Like
  • Rapid delivery with visible reasoning
  • Same capabilities as Grok 3 Mini in a faster package
  • Suitable for production-grade, interactive use cases
  • Large context window ensures flexibility
  • Easy integration through existing API tooling
Things We Don't Like
  • More expensive: $0.60/$4 vs $0.30/$0.50 per million tokens
  • Still in beta—subject to updates and changes
  • Lacks “Big Brain” deeper reasoning mode found only in the flagship model
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

$0.60/$4.00 per 1M tokens

Input - $0.60/M
Cached Input - $0.15/M
Output - $4.00/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 high-speed variant of Grok 3 Mini offering transparent chain-of-thought reasoning with optimized low latency.
Use the grok-3-mini-fast-beta model ID through xAI’s API or Oracle Cloud.
Yes—it’s the same model architecture, just served faster; chain-of-thought output is visible.
Approximately $0.60 for input and $4.00 for output per million tokens.
It supports the full 131,072-token context window.

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.

OpenAI GPT 4o mini Search Prev
0
0
3
0

GPT-4o-mini Search Preview is OpenAI’s lightweight semantic search feature powered by the GPT-4o-mini model. Designed for real-time applications and low-latency environments, it brings retrieval-augmented intelligence to any product or tool that needs blazing-fast, accurate information lookup. While compact in size, it offers the power of contextual understanding, enabling smarter, more relevant search results with fewer resources. It’s ideal for startups, embedded systems, or anyone who needs search that just works—fast, efficient, and tuned for integration.

OpenAI GPT 4o mini Search Prev
0
0
3
0

GPT-4o-mini Search Preview is OpenAI’s lightweight semantic search feature powered by the GPT-4o-mini model. Designed for real-time applications and low-latency environments, it brings retrieval-augmented intelligence to any product or tool that needs blazing-fast, accurate information lookup. While compact in size, it offers the power of contextual understanding, enabling smarter, more relevant search results with fewer resources. It’s ideal for startups, embedded systems, or anyone who needs search that just works—fast, efficient, and tuned for integration.

OpenAI GPT 4o mini Search Prev
0
0
3
0

GPT-4o-mini Search Preview is OpenAI’s lightweight semantic search feature powered by the GPT-4o-mini model. Designed for real-time applications and low-latency environments, it brings retrieval-augmented intelligence to any product or tool that needs blazing-fast, accurate information lookup. While compact in size, it offers the power of contextual understanding, enabling smarter, more relevant search results with fewer resources. It’s ideal for startups, embedded systems, or anyone who needs search that just works—fast, efficient, and tuned for integration.

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.

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-latest
0
0
4
0

Grok 2 Image (a.k.a. Grok 2‑image‑latest) is xAI’s vision-forward extension of its Grok 2 model. Released in December 2024, it merges photorealistic image generation via Aurora with strong image understanding capabilities—supporting object detection, chart analysis, OCR, and visual reasoning tasks. Operates in a unified multimodal pipeline using text+image inputs up to 32K-token context.

grok-2-image-latest
0
0
4
0

Grok 2 Image (a.k.a. Grok 2‑image‑latest) is xAI’s vision-forward extension of its Grok 2 model. Released in December 2024, it merges photorealistic image generation via Aurora with strong image understanding capabilities—supporting object detection, chart analysis, OCR, and visual reasoning tasks. Operates in a unified multimodal pipeline using text+image inputs up to 32K-token context.

grok-2-image-latest
0
0
4
0

Grok 2 Image (a.k.a. Grok 2‑image‑latest) is xAI’s vision-forward extension of its Grok 2 model. Released in December 2024, it merges photorealistic image generation via Aurora with strong image understanding capabilities—supporting object detection, chart analysis, OCR, and visual reasoning tasks. Operates in a unified multimodal pipeline using text+image inputs up to 32K-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.

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 3.1
logo

Meta Llama 3.1

0
0
6
2

Llama 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.

Meta Llama 3.1
logo

Meta Llama 3.1

0
0
6
2

Llama 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.

Meta Llama 3.1
logo

Meta Llama 3.1

0
0
6
2

Llama 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.

Mistral Small 3.1
logo

Mistral Small 3.1

0
0
10
0

Mistral Small 3.1 is the March 17, 2025 update to Mistral AI's open-source 24B-parameter small model. It offers instruction-following, multimodal vision understanding, and an expanded 128K-token context window, delivering performance on par with or better than GPT‑4o Mini, Gemma 3, and Claude 3.5 Haiku—all while maintaining fast inference speeds (~150 tokens/sec) and running on devices like an RTX 4090 or a 32 GB Mac.

Mistral Small 3.1
logo

Mistral Small 3.1

0
0
10
0

Mistral Small 3.1 is the March 17, 2025 update to Mistral AI's open-source 24B-parameter small model. It offers instruction-following, multimodal vision understanding, and an expanded 128K-token context window, delivering performance on par with or better than GPT‑4o Mini, Gemma 3, and Claude 3.5 Haiku—all while maintaining fast inference speeds (~150 tokens/sec) and running on devices like an RTX 4090 or a 32 GB Mac.

Mistral Small 3.1
logo

Mistral Small 3.1

0
0
10
0

Mistral Small 3.1 is the March 17, 2025 update to Mistral AI's open-source 24B-parameter small model. It offers instruction-following, multimodal vision understanding, and an expanded 128K-token context window, delivering performance on par with or better than GPT‑4o Mini, Gemma 3, and Claude 3.5 Haiku—all while maintaining fast inference speeds (~150 tokens/sec) and running on devices like an RTX 4090 or a 32 GB Mac.

Upstage - Solar Mini
0
0
2
0

Solar Mini is Upstage’s compact, high-performance large language model (LLM) with under 30 billion parameters, engineered for exceptional speed and efficiency without sacrificing quality. It outperforms comparable models like Llama2, Mistral 7B, and Ko-Alpaca on major benchmarks, delivering responses similar to GPT-3.5 but 2.5 times faster. Thanks to its innovative Depth Up-scaling (DUS) and continued pre-training, Solar Mini is easily customized for domain-specific tasks, supports on-device deployment, and is especially suited for decentralized, responsive AI applications.

Upstage - Solar Mini
0
0
2
0

Solar Mini is Upstage’s compact, high-performance large language model (LLM) with under 30 billion parameters, engineered for exceptional speed and efficiency without sacrificing quality. It outperforms comparable models like Llama2, Mistral 7B, and Ko-Alpaca on major benchmarks, delivering responses similar to GPT-3.5 but 2.5 times faster. Thanks to its innovative Depth Up-scaling (DUS) and continued pre-training, Solar Mini is easily customized for domain-specific tasks, supports on-device deployment, and is especially suited for decentralized, responsive AI applications.

Upstage - Solar Mini
0
0
2
0

Solar Mini is Upstage’s compact, high-performance large language model (LLM) with under 30 billion parameters, engineered for exceptional speed and efficiency without sacrificing quality. It outperforms comparable models like Llama2, Mistral 7B, and Ko-Alpaca on major benchmarks, delivering responses similar to GPT-3.5 but 2.5 times faster. Thanks to its innovative Depth Up-scaling (DUS) and continued pre-training, Solar Mini is easily customized for domain-specific tasks, supports on-device deployment, and is especially suited for decentralized, responsive AI applications.

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