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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.
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.
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.
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.
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.
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 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 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 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 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 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 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 (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 (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 (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 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 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 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 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 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 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 (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 (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 (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 (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 (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 (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.
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.
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.
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 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 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 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.
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.
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.
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.
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.
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