Best AI Models in Brazil - Page 14
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Compare the Top AI Models in Brazil as of July 2026 - Page 14
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1
Kling O1
Kling AI
Kling O1 is a generative AI platform that transforms text, images, or videos into high-quality video content, combining video generation and video editing into a unified workflow. It supports multiple input modalities (text-to-video, image-to-video, and video editing) and offers a suite of models, including the latest “Video O1 / Kling O1”, that allow users to generate, remix, or edit clips using prompts in natural language. The new model enables tasks such as removing objects across an entire clip (without manual masking or frame-by-frame editing), restyling, and seamlessly integrating different media types (text, image, video) for flexible creative production. Kling AI emphasizes fluid motion, realistic lighting, cinematic quality visuals, and accurate prompt adherence, so actions, camera movement, and scene transitions follow user instructions closely. -
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GigaChat 3 Ultra
Sberbank
GigaChat 3 Ultra is a 702-billion-parameter Mixture-of-Experts model built from scratch to deliver frontier-level reasoning, multilingual capability, and deep Russian-language fluency. It activates just 36 billion parameters per token, enabling massive scale with practical inference speeds. The model was trained on a 14-trillion-token corpus combining natural, multilingual, and high-quality synthetic data to strengthen reasoning, math, coding, and linguistic performance. Unlike modified foreign checkpoints, GigaChat 3 Ultra is entirely original—giving developers full control, modern alignment, and a dataset free of inherited limitations. Its architecture leverages MoE, MTP, and MLA to match open-source ecosystems and integrate easily with popular inference and fine-tuning tools. With leading results on Russian benchmarks and competitive performance on global tasks, GigaChat 3 Ultra represents one of the largest and most capable open-source LLMs in the world.Starting Price: Free -
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Seedream 4.5
ByteDance
Seedream 4.5 is ByteDance’s latest AI-powered image-creation model that merges text-to-image synthesis and image editing into a single, unified architecture, producing high-fidelity visuals with remarkable consistency, detail, and flexibility. It significantly upgrades prior versions by more accurately identifying the main subject during multi-image editing, strictly preserving reference-image details (such as facial features, lighting, color tone, and proportions), and greatly enhancing its ability to render typography and dense or small text legibly. It handles both creation from prompts and editing of existing images: you can supply a reference image (or multiple), describe changes in natural language, such as “only keep the character in the green outline and delete other elements,” alter materials, change lighting or background, adjust layout and typography, and receive a polished result that retains visual coherence and realism. -
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GPT-5.2 Thinking
OpenAI
GPT-5.2 Thinking is the highest-capability configuration in OpenAI’s GPT-5.2 model family, engineered for deep, expert-level reasoning, complex task execution, and advanced problem solving across long contexts and professional domains. Built on the foundational GPT-5.2 architecture with improvements in grounding, stability, and reasoning quality, this variant applies more compute and reasoning effort to generate responses that are more accurate, structured, and contextually rich when handling highly intricate workflows, multi-step analysis, and domain-specific challenges. GPT-5.2 Thinking excels at tasks that require sustained logical coherence, such as detailed research synthesis, advanced coding and debugging, complex data interpretation, strategic planning, and sophisticated technical writing, and it outperforms lighter variants on benchmarks that test professional skills and deep comprehension. -
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GPT-5.2 Instant
OpenAI
GPT-5.2 Instant is the fast, capable variant of OpenAI’s GPT-5.2 model family designed for everyday work and learning with clear improvements in information-seeking questions, how-tos and walkthroughs, technical writing, and translation compared to prior versions. It builds on the warmer conversational tone introduced in GPT-5.1 Instant and produces clearer explanations that surface key information upfront, making it easier for users to get concise, accurate answers quickly. GPT-5.2 Instant delivers speed and responsiveness for typical tasks like answering queries, generating summaries, assisting with research, and helping with writing and editing, while incorporating broader enhancements from the GPT-5.2 series in reasoning, long-context handling, and factual grounding. As part of the GPT-5.2 lineup, it shares the same foundational improvements that boost overall reliability and performance across a wide range of everyday activities. -
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GPT-5.2 Pro
OpenAI
GPT-5.2 Pro is the highest-capability variant of OpenAI’s latest GPT-5.2 model family, built to deliver professional-grade reasoning, complex task performance, and enhanced accuracy for demanding knowledge work, creative problem-solving, and enterprise-level applications. It builds on the foundational improvements of GPT-5.2, including stronger general intelligence, superior long-context understanding, better factual grounding, and improved tool use, while using more compute and deeper processing to produce more thoughtful, reliable, and context-rich responses for users with intricate, multi-step requirements. GPT-5.2 Pro is designed to handle challenging workflows such as advanced coding and debugging, deep data analysis, research synthesis, extensive document comprehension, and complex project planning with greater precision and fewer errors than lighter variants. -
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Gemini 3 Flash
Google
Gemini 3 Flash is Google’s latest AI model built to deliver frontier intelligence with exceptional speed and efficiency. It combines Pro-level reasoning with Flash-level latency, making advanced AI more accessible and affordable. The model excels in complex reasoning, multimodal understanding, and agentic workflows while using fewer tokens for everyday tasks. Gemini 3 Flash is designed to scale across consumer apps, developer tools, and enterprise platforms. It supports rapid coding, data analysis, video understanding, and interactive application development. By balancing performance, cost, and speed, Gemini 3 Flash redefines what fast AI can achieve. -
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GPT Image 1.5
OpenAI
GPT Image 1.5 is OpenAI’s state-of-the-art image generation model built for precise, high-quality visual creation. It supports both text and image inputs and produces image or text outputs with strong adherence to prompts. The model improves instruction following, enabling more accurate image generation and editing results. GPT Image 1.5 is designed for professional and creative use cases that require reliability and visual consistency. It is available through multiple API endpoints, including image generation and image editing. Pricing is token-based, with separate rates for text and image inputs and outputs. GPT Image 1.5 offers a powerful foundation for developers building image-focused applications. -
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Mistral OCR 3
Mistral AI
Mistral OCR 3 is the third-generation optical character recognition model from Mistral AI designed to achieve a new frontier in accuracy and efficiency for document processing by extracting text, embedded images, and structure from a wide range of documents with exceptional fidelity. It delivers breakthrough performance with a 74% overall win rate over the previous generation on forms, scanned documents, complex tables, and handwriting, outperforming both enterprise document processing solutions and AI-native OCR tools. OCR 3 supports output in clean text, Markdown, or structured JSON with HTML table reconstruction to preserve layout, enabling downstream systems and workflows to understand both content and structure. It powers the Document AI Playground in Mistral AI Studio for drag-and-drop parsing of PDFs and images and integrates via API for developers to automate document extraction workflows.Starting Price: $14.99 per month -
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FLUX.2 [max]
Black Forest Labs
FLUX.2 [max] is the flagship image-generation and editing model in the FLUX.2 family from Black Forest Labs that delivers top-tier photorealistic output with professional-grade quality and unmatched consistency across styles, objects, characters, and scenes. It supports grounded generation that can incorporate real-time contextual information, enabling visuals that reflect current trends, environments, and detailed prompt intent while maintaining coherence and structure. It excels at producing marketplace-ready product photos, cinematic visuals, logo and brand assets, and high-fidelity creative imagery with precise control over colors, lighting, composition, and textures, and it preserves identity even through complex edits and multi-reference inputs. FLUX.2 [max] handles detailed features such as character proportions, facial expressions, typography, and spatial reasoning with high stability, making it suitable for iterative creative workflows. -
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FLUX.2 [klein]
Black Forest Labs
FLUX.2 [klein] is the fastest member of the FLUX.2 family of AI image models, designed to unify text-to-image generation, image editing, and multi-reference composition into a single compact architecture that delivers state-of-the-art visual quality at sub-second inference times on modern GPUs, making it suitable for real-time and latency-critical applications. It supports both generation from prompts and editing existing images with references, combining high diversity and photorealistic outputs with extremely low latency so users can iterate quickly in interactive workflows; distilled versions can produce or edit images in under 0.5 seconds on capable hardware, and even compact 4 B variants run on consumer GPUs with about 8–13 GB of VRAM. The FLUX.2 [klein] family comes in different variants, including distilled and base versions at 9 B and 4 B parameter scales, giving developers options for local deployment, fine-tuning, research, and production integration. -
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GLM-4.7-FlashX
Z.ai
GLM-4.7 FlashX is a lightweight, high-speed version of the GLM-4.7 large language model created by Z.ai that balances efficiency and performance for real-time AI tasks across English and Chinese while offering the core capabilities of the broader GLM-4.7 family in a more resource-friendly package. It is positioned alongside GLM-4.7 and GLM-4.7 Flash, delivering optimized agentic coding and general language understanding with faster response times and lower resource needs, making it suitable for applications that require rapid inference without heavy infrastructure. As part of the GLM-4.7 model series, it inherits the model’s strengths in programming, multi-step reasoning, and robust conversational understanding, and it supports long contexts for complex tasks while remaining lightweight enough for deployment with constrained compute budgets.Starting Price: $0.07 per 1M tokens -
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Qwen3-Max-Thinking
Alibaba
Qwen3-Max-Thinking is Alibaba’s latest flagship reasoning-enhanced large language model, built as an extension of the Qwen3-Max family and designed to deliver state-of-the-art analytical performance and multi-step reasoning capabilities. It scales up from one of the largest parameter bases in the Qwen ecosystem and incorporates advanced reinforcement learning and adaptive tool integration so the model can leverage search, memory, and code interpreter functions dynamically during inference to address difficult multi-stage tasks with higher accuracy and contextual depth compared with standard generative responses. Qwen3-Max-Thinking introduces a unique Thinking Mode that exposes deliberate, step-by-step reasoning before final outputs, enabling transparency and traceability of logical chains, and can be tuned with configurable “thinking budgets” to balance performance quality with computational cost. -
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Odyssey-2 Pro
Odyssey ML
Odyssey-2 Pro is a frontier general-purpose world model that generates continuous, interactive simulations you can integrate into products via the Odyssey API, marking a pivotal moment for world models similar to GPT-2 in language. It’s trained on large amounts of video and interaction data to learn how the world evolves frame-by-frame and outputs minutes-long simulations that can be interacted with in real time, not fixed short clips. Odyssey-2 Pro delivers improved physics, richer dynamics, more authentic behaviors, and sharper visuals by streaming 720p video at up to ~22 FPS that responds instantly to prompts and actions, and it supports embedding interactive streams, viewable streams, and parameterized simulations into applications with simple SDKs in JavaScript and Python. Developers can integrate the model with under ten lines of code to create open-ended, interactive video experiences where users’ inputs shape evolving scenes. -
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Composer 1.5
Cursor
Composer 1.5 is the latest agentic coding model from Cursor that balances speed and intelligence for everyday code tasks by scaling reinforcement learning approximately 20x more than its predecessor, enabling stronger performance on real-world programming challenges. It’s designed as a “thinking model” that generates internal reasoning tokens to analyze a user’s codebase and plan next steps, responding quickly to simple problems and engaging deeper reasoning on complex ones, while remaining interactive and fast for daily development workflows. To handle long-running tasks, Composer 1.5 introduces self-summarization, allowing the model to compress and carry forward context when it reaches context limits, which helps maintain accuracy across varying input lengths. Internal benchmarks show it surpasses Composer 1 in coding tasks, especially on more difficult issues, making it more capable for interactive use within Cursor’s environment. -
16
Qwen-Image-2.0
Alibaba
Qwen-Image 2.0 is the latest AI image generation and editing model in the Qwen family that combines both generation and editing in a single unified architecture, delivering high-quality visuals with professional-grade typography and layout capabilities directly from natural-language prompts. It supports text-to-image and image editing workflows with a lightweight 7 billion-parameter model that runs quickly while producing native 2048x2048 resolution outputs and handling long, detailed instructions up to about 1,000 tokens so creators can generate complex infographics, posters, slides, comics, and photorealistic scenes with accurate, well-rendered English and other language text embedded in the visuals. The unified model design means users don’t need separate tools for creating and modifying images, making it easier to iterate on ideas and refine compositions. -
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Seed2.0 Lite
ByteDance
Seed2.0 Lite is part of ByteDance’s Seed2.0 family of general-purpose multimodal AI agent models designed to handle complex, real-world tasks with a balanced focus on performance and efficiency. It offers enhanced multimodal understanding and instruction-following capabilities compared with earlier Seed models, enabling it to process and reason about text, visual elements, and structured information reliably for production-grade applications. As a mid-sized model in the series, Lite is optimized to deliver good quality outputs with responsive performance at lower cost and faster inference than the Pro variant while surpassing the previous generation’s capabilities, making it suitable for workflows that require stable reasoning, long-context understanding, and multimodal task execution without needing the highest possible raw performance. -
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Seed2.0 Mini
ByteDance
Seed2.0 Mini is the smallest member of ByteDance’s Seed2.0 series of general-purpose multimodal agent models, designed for high-throughput inference and dense deployment while retaining the core strengths of its larger siblings in multimodal understanding and instruction following. Part of a family that also includes Pro and Lite, the Mini variant is optimized for high-concurrency and batch generation workloads, making it suitable for applications where efficient processing of many requests at scale matters as much as capability. Like other Seed2.0 models, it benefits from systematic enhancements in visual reasoning, motion perception, structured extraction from complex inputs like text and images, and reliable execution of multi-step instructions, but it trades some raw reasoning and output quality for faster, more cost-effective inference and better deployment efficiency. -
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SeedEdit 3.0
ByteDance
SeedEdit is a generative AI image editing model from ByteDance’s Seed team that enables text-guided, high-quality image modification by applying natural language instructions to change specific parts of an image while maintaining consistency in the rest of the scene. Built on advanced diffusion and multimodal learning techniques, later versions like SeedEdit 3.0 improve on earlier releases with enhanced fidelity, accurate instruction following, and the ability to edit at high resolution (including up to 4K outputs) while preserving original subjects, backgrounds, and fine visual details. It supports common edit tasks such as portrait retouching, background replacement, object removal, lighting and perspective changes, and stylistic transformations without manual masking or tools, and achieves higher usability and visual quality than previous models by balancing between reconstruction and regeneration of images. -
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Seedance 1.5 pro
ByteDance
Seedance 1.5 Pro is a next-generation AI audio-video generation model developed by ByteDance’s Seed research team that produces native, synchronized video and sound in a single unified pass from text prompts and image or visual inputs, eliminating the traditional need to create visuals first and add audio later. It features joint audio-visual generation with highly accurate lip-sync and motion alignment, supporting multilingual audio and spatial sound effects that match the visuals for immersive storytelling and dialogue, and it maintains visual consistency and cinematic motion across multi-shot sequences including camera moves and narrative continuity. Able to generate short clips (typically 4–12 seconds) in up to 1080p quality with expressive motion, stable aesthetics, and optional first- and last-frame control, the model works for both text-to-video and image-to-video workflows so creators can animate static images or build full cinematic sequences with coherent narrative flow. -
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Seedream 4.0
ByteDance
Seedream 4.0 is a next-generation multimodal AI image generation and editing model that unifies text-to-image creation and text-guided image editing within a single architecture, delivering professional-grade visuals up to 4K resolution with exceptional fidelity and speed. It’s built around an efficient diffusion transformer and variational autoencoder design that lets it interpret text prompts and reference images to produce highly detailed, consistent outputs while handling complex semantics, lighting, and structure reliably, and it offers batch generation, multi-reference support, and precise control over edits such as style, background, or object changes without degrading the rest of the scene. Seedream 4.0 demonstrates industry-leading prompt understanding, aesthetic quality, and structural stability across generation and editing tasks, outperforming earlier versions and rival models in benchmarks for prompt adherence and visual coherence. -
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Seed1.8
ByteDance
Seed1.8 is ByteDance’s latest generalized agentic AI model designed to bridge understanding and real-world action by combining multimodal perception, agent-like task execution, and wide-ranging reasoning capabilities into a single foundation model that goes beyond simple language generation. It supports multimodal inputs, including text, images, and video, processes very large context windows (hundreds of thousands of tokens at once), and is optimized to handle complex workflows in real environments, such as information retrieval, code generation, GUI interaction, and multi-step decision logic, with efficient, accurate responses suitable for real-world applications. Seed1.8 unifies skills such as search, code understanding, visual context interpretation, and autonomous reasoning so developers and AI systems can build interactive agents and next-generation workflows capable of synthesizing evidence, following instructions deeply, and acting on tasks like automation. -
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Qwen3.5-Plus
Alibaba
Qwen3.5-Plus is a high-performance native vision-language model designed for efficient text generation, deep reasoning, and multimodal understanding. Built on a hybrid architecture that combines linear attention with a sparse mixture-of-experts design, it delivers strong performance while optimizing inference efficiency. The model supports text, image, and video inputs and produces text outputs, making it suitable for complex multimodal workflows. With a massive 1 million token context window and up to 64K output tokens, Qwen3.5-Plus enables long-form reasoning and large-scale document analysis. It includes advanced capabilities such as structured outputs, function calling, web search, and tool integration via the Responses API. The model supports prefix continuation, caching, batch processing, and fine-tuning for flexible deployment. Designed for developers and enterprises, Qwen3.5-Plus provides scalable, high-throughput AI performance with OpenAI-compatible API access.Starting Price: $0.4 per 1M tokens -
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Higgsfield Soul 2.0
Higgsfield
Higgsfield Soul 2.0 is a foundation AI image generation model built for creative, fashion-aware, culture-native visual production. It is designed specifically for aesthetics, producing realistic images with “taste built into every image” and outputs that feel photographed rather than artificially generated. It enables users to generate visuals from either text prompts or reference images, with the model interpreting composition, lighting, styling cues, and mood to deliver editorial-quality results. Soul 2.0 includes curated presets that act as visual anchors, allowing creators to establish mood and style instantly without complex prompt engineering. A key component is Soul ID, a personalization layer that lets users train a consistent digital character from their own photos and reuse that identity across different scenes, poses, and lighting setups.Starting Price: $9 per month -
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Voxtral TTS
Mistral AI
Voxtral TTS is a state-of-the-art, multilingual text-to-speech model designed to generate highly realistic and emotionally expressive speech from text, combining strong contextual understanding with advanced speaker modeling to produce natural, human-like audio output. Built as a lightweight model with around 4 billion parameters, it delivers efficient performance while maintaining high quality, enabling scalable deployment for enterprise voice applications. It supports nine major languages and diverse dialects, and can adapt to new voices using only a short reference audio sample, capturing not just tone but also rhythm, pauses, intonation, and emotional nuance. Its zero-shot voice cloning capabilities allow it to replicate a speaker’s style without additional training, and it can even perform cross-lingual voice adaptation, generating speech in one language while preserving the accent of another. -
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Veo 3.1 Lite
Google
Veo 3.1 Lite is a cost-effective video generation model developed by Google DeepMind for developers building AI-powered applications. It enables users to create videos from text or images using advanced generative AI capabilities. The model supports multiple formats, including landscape and portrait orientations, as well as HD resolutions like 720p and 1080p. Designed for efficiency, it delivers high-speed performance at a lower cost compared to other models in the Veo family. Developers can customize video duration, allowing flexibility in content creation. Veo 3.1 Lite is accessible through the Gemini API and Google AI Studio. Overall, it makes scalable video generation more affordable and accessible for developers.Starting Price: $0.05 per second -
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Qwen3.5-Omni
Alibaba
Qwen3.5-Omni is a next-generation, fully multimodal AI model developed by Alibaba that natively understands and generates text, images, audio, and video within a single unified system, enabling more natural and real-time human-AI interaction. Unlike traditional models that treat modalities separately, it is trained from the ground up on massive audiovisual datasets, allowing it to process complex inputs such as long audio streams, video, and spoken instructions simultaneously while maintaining strong performance across all formats. It supports long-context inputs of up to 256K tokens and can handle over 10 hours of audio or extended video sequences, making it suitable for demanding real-world applications. A key feature is its advanced voice interaction capabilities, including end-to-end speech dialogue, emotional tone control, and voice cloning, enabling highly natural conversational experiences that can whisper, shout, or adapt speaking style dynamically. -
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Wan2.7-Image
Alibaba
Wan2.7-Image is a powerful AI-driven image generation model designed to create high-quality visuals from simple text inputs. It enables users to produce detailed and visually compelling images for a wide range of applications, including marketing, design, and digital content creation. The model supports various styles, allowing users to generate everything from realistic images to artistic and abstract visuals. Wan2.7-Image is optimized for both speed and quality, ensuring consistent and professional results across different use cases. It allows creators to quickly turn ideas into visual content without the need for advanced design skills. It can be integrated into existing workflows, making it a valuable tool for teams and individuals. It supports rapid experimentation, enabling users to iterate on concepts and refine outputs efficiently. Wan2.7-Image helps reduce production time and costs by automating the image creation process. -
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GLM-5V-Turbo
Z.ai
GLM-5V-Turbo is a multimodal coding foundation model designed for vision-based coding tasks, capable of natively processing inputs such as images, video, text, and files while producing text outputs. It is optimized for agent workflows, enabling a full loop of understanding environments, planning actions, and executing tasks, and integrates seamlessly with agent frameworks like Claude Code and OpenClaw. It supports long-context interactions with a context length of 200K tokens and up to 128K output tokens, making it suitable for complex, long-horizon tasks. It offers multiple thinking modes for different scenarios, strong vision comprehension across images and video, real-time streaming output for improved interaction, and advanced function-calling capabilities for integrating external tools. It also includes context caching to enhance performance in extended conversations. In practical use, it can reconstruct frontend projects from design mockups. -
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SWE-1.6
Cognition
SWE-1.6 is an engineering–focused AI model developed by Cognition and integrated into the Devin (Windsurf) environment, designed to optimize both raw intelligence and what the company calls “model UX,” or the overall feel and efficiency of interacting with an AI agent. It represents a new iteration in the SWE model family, improving performance on benchmarks such as SWE-Bench Pro by over 10% compared to SWE-1.5 while maintaining similar underlying capabilities. It was trained from scratch to jointly improve reasoning quality and user experience, addressing issues observed in earlier versions such as overthinking simple problems, taking too many steps, looping in repetitive reasoning, and relying excessively on terminal commands instead of specialized tools. SWE-1.6 introduces behavioral improvements such as more frequent parallel tool usage, faster context retrieval, and reduced need for user input, resulting in smoother and more efficient workflows.
