Vision-Modelle mit langem Kontext

Gemini 4 Argon

Google's top-tier model anchoring the Gemini 4 generation, larger than the previous Pro line and built for complex workloads, coding, and cybersecurity. Can locate, validate, and patch critical software vulnerabilities autonomously and raises the output limit to 1M tokens. At launch, access is limited to selected cybersecurity organizations through Google's Fairwind Program, with paid API customers and Google AI Ultra subscribers to follow; no public availability date has been announced.

GPT-6.1 Sol

OpenAI's upgrade to GPT-6 Sol, delivering near-Astra performance for complex work at a lower cost. Suited for agentic coding, computer use, and document-heavy professional work, with multimodal input, function calling, reasoning effort controls, a 1.05M-token context window, up to 128K output tokens, and cheaper cached input than GPT-6 Sol.

Claude Sonnet 5.5

Anthropic's Sonnet-class model offering the best combination of speed and intelligence, succeeding Claude Sonnet 5 as a direct upgrade. Especially strong at building features, fixing bugs, and well-scoped everyday coding and knowledge work, with adaptive thinking, a 1M-token context window, and up to 128K output tokens.

Ember-1

A specialized reasoning model from Fireworks Research, built on Kimi K3 and designed to make every token go further by producing shorter reasoning traces. Supports image input, tool use, and a 1M-token context window.

Qwen 3.8 Max Prime

A higher-throughput variant of Qwen 3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. Accepts text, image, and video input with reasoning, tool use, and a 1M-token context window.

MiMo-V2.6-Flash

Xiaomi's open-source mixture-of-experts foundation model with 309B total parameters and 15B activated per token, using a hybrid attention mechanism for efficient long-context inference. Multimodal across text, image, video, and audio input, with reasoning, tool use, and a 1M-token context window.

GPT-6 Sol

The cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. Suited for demanding professional work, agentic coding, and document-heavy tasks, with multimodal input, function calling, reasoning effort controls, a 1.05M-token context window, and up to 128K output tokens.

GPT-6 Luna

The fast, most efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol for focused, high-volume tasks. Suited for latency-sensitive workloads such as chat, classification, extraction, and lightweight agentic steps, with multimodal input, function calling, reasoning controls, a 1.05M-token context window, and up to 128K output tokens.

Claude Opus 5.5

Anthropic's Opus-class model for long-running agentic coding and knowledge work, succeeding Claude Opus 5 at a lower price. Particularly strong at multi-step changes in large codebases and sustained autonomous tasks, with always-on adaptive thinking steered by an effort parameter, a 1M-token context window, and up to 128K output tokens. Anthropic's recommended starting point for most workloads.

MiMo-V2.6-Pro

Xiaomi's flagship foundation model, built at a scale of over 1T parameters for the most demanding workloads. Natively multimodal across text, image, video, and audio input, with reasoning, tool use, and a 1M-token context window; weights are published on Hugging Face.

Qwen 3.8 Omni Flash

Alibaba's omni-modal reasoning model and the first Qwen model built around agentic capabilities with native audio-video understanding. Suited for audio-video analysis and summarization and multimodal agents, with tool use and a 1M-token context window.

Grok 4.7

xAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. Particularly strong at long-running software engineering tasks and verifying its own work, with image and file input, reasoning, tool use, a 500K-token context window, and an OpenAI-compatible API.

Pareto

A multimodal composite model from Unbiased built for research, coding, and agentic workflows, aiming at frontier-level performance across a broad range of general-purpose tasks. Supports image input, tool use, and a 262K-token context window.

Ternary Bonsai 2 27B

PrismML's open-weight 27B-parameter reasoning model derived from Qwen 3.8 27B and shrunk with ternary compression. Supports coding, mathematics, tool calling, and image understanding with a 262K-token context window.

GLM-5.3-FlashX

The high-speed variant of Z.ai's GLM-5.3-Flash, a natively multimodal model delivering inference speeds of up to 200 tokens per second. Built on the same hybrid sparse and linear attention architecture, with image and video input, reasoning, tool use, and a 1M-token context window.

Sakana Fugu Max

The cost-performance model in Sakana AI's Fugu family, a learned multi-agent orchestration system in which a language model routes and coordinates work across a pool of models. Supports image and file input, reasoning, tool use, and a 1M-token context window.

Sakana Fugu Ultra v2

The higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system, a language model trained to route and coordinate work across a pool of models. Supports image and file input, reasoning, tool use, and a 1M-token context window.

DeepSeek V4.1 Flash

DeepSeek's open-weight sparse mixture-of-experts model and the first built on the company's Causal Encoder-Decoder (CED) architecture, activating 8B parameters on input and 16B on output. Supports image input, reasoning, and tool use with a 1M-token context window at very low per-token cost.

Ling 3.0 Flash VL

InclusionAI's open-weight vision-language model built on Ling 3.0 Flash (124B total, 5.5B active MoE), strengthening language capabilities while adding native visual perception and visual reasoning over images and video. 262K-token context window.

Nex-N2.5-Mini

The smaller member of Nex AGI's open-weight Nex-N2.5 agentic family, aimed at agentic coding within a visual feedback loop at lower cost. Supports image input, reasoning, and a 262K-token context window.

Nex-N2.5-Pro

Nex AGI's open-weight agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop, exploring codebases and implementing multi-file changes, with image input, tool use, and a 262K-token context window.

GPT-6 Astra

OpenAI's most capable frontier model for the hardest end-to-end work across complex reasoning, coding, computer use, browsing, research, scientific analysis, cybersecurity defense, and professional document creation. Supports long-context multimodal input, structured outputs, function calling, reasoning effort controls, MCP, skills, computer use, hosted shell, code interpreter, web search, file search, and apply-patch workflows through the Responses API.

Muse Spark 1.3

Meta's multimodal reasoning model for long-running agentic, multi-agent, and coding workflows. Designed to keep track of information across extended tasks, it accepts text, images, video, and documents and offers a 1M-token context window with tool use.

Gemini 3.8 Flash

Google's most intelligent Flash model, with significant gains over Gemini 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning. Engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows, while natively multimodal across text, image, audio, and video with a 1M-token context window.

Claude Fable 5.1

Anthropic's latest generally available Fable model for demanding reasoning, long-horizon agentic work, ambitious coding projects, multistep research, and document-heavy analysis. It extends Claude Fable 5 with stronger agentic coding and knowledge work, adaptive thinking, more precise safeguards, content provenance, lower cache-read pricing, and 1M-token context support.

GLM-5.3-Flash

Z.ai's first natively multimodal model in the GLM-5 family, designed for efficient coding, agentic work, visual reasoning, and long-context tasks. It uses a 320B-parameter sparse mixture-of-experts architecture with 18B active parameters, hybrid linear and sparse attention, and a context window of up to one million tokens. The model weights are released under the MIT license for local deployment with frameworks including SGLang and vLLM.

Qwen 3.8 Flash

Alibaba's hosted Qwen 3.8 Flash model, a low-cost multimodal reasoning model based on the Qwen3.8-Flash-Next architecture. It supports text, image, and video inputs, one million tokens of context, function calling, structured output, built-in tools, and thinking mode for high-throughput coding, agentic workflows, document analysis, and visual understanding.

Qwen3.8-Flash-Next

Alibaba's open-weight multimodal preview of the architecture being developed for Qwen4. The sparse mixture-of-experts model has a 125B-parameter backbone with 6B parameters active per token plus 51B parameters of N-gram embeddings. It combines Gated DeltaNet with Qwen Sparse Attention, supports 262,144 tokens natively and up to one million tokens with YaRN, and targets efficient coding, office, visual, and long-context workloads.

DeepSeek V4 Flash Vision Exp

DeepSeek's experimental multimodal V4 Flash model that adds image input while matching DeepSeek V4 Flash text capabilities for agents, reasoning, world knowledge, tool use, and Responses API workflows. It supports mixed text and image requests, one million tokens of context, and the same token-based pricing as DeepSeek V4 Flash.

Qwen 3.8 27B

Alibaba's open-weight 27B dense vision-language model in the Qwen 3.8 family. It builds on the Qwen 3.6 27B line with stronger coding and office productivity capabilities across text and visual modalities, supports one million tokens of context through hosted APIs, and is suited to multimodal assistants, document work, coding, and long-running agent tasks.

Dots3-Note Preview

Dots Studio's open-weight mixture-of-experts model with 16B active parameters out of 280B total, the lightest model in the Dots 3 family. Supports image input, reasoning, tool use, and a 512K-token context window.

Gemini 3.7 Flash

Google DeepMind's most intelligent workhorse Flash model yet, released three weeks after Gemini 3.6 Flash with substantial gains in coding, agentic tool use, and knowledge work. Delivers stronger first-pass code accuracy, more functional web app generation, and improved multi-step planning, while natively multimodal across text, image, audio, and video with a 1M-token context window and configurable thinking levels.

Seed 2.1 Turbo

ByteDance Seed's multimodal model for coding and long-horizon agent workflows. Suited for end-to-end software delivery, multi-step task execution, and understanding visual and video content, with reasoning, tool use, and a 262K-token context window.

Seed 2.0 Code

ByteDance Seed's model optimized for agentic coding. Suited for frontend development, multilingual programming tasks, and coding-agent workflows, with image and video input, reasoning, tool use, and a 262K-token context window.

Sakana Namazu

A Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. Suited for Japanese instruction following and enterprise use, with image input, tool use, and a 262K-token context window.

Muse Glimmer 30B

A dense, open-weight 30B multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. Supports image input, reasoning, and tool use with a 131K-token context window.

Muse Spark 1.2

Meta's reasoning model for complex agentic tasks, updating Muse Spark 1.1. Accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window with tool use.

Grok 4.6

xAI's model building on Grok 4.5 with a focus on long-running agents and ambitious interactive and visual work. Sustains complex multi-step tasks across research, analysis, and whole codebases, and shows more self-testing and verification on long trajectories. Reaches frontier intelligence across agentic coding and knowledge work benchmarks, matching GPT-5.6 Sol on the Artificial Analysis Intelligence Index, and produces notably stronger first passes on visual and interactive projects. Trained with agentic RL across kernel optimization, web development, and computer-aided design, with real-time information access and an OpenAI-compatible API.

Qwen 3.8 Max

Alibaba's flagship next-generation Qwen model, a sparse Mixture-of-Experts system with roughly 2.4 trillion total parameters and a 1M-token context window. Natively multimodal across text, images, video, and documents, with a configurable thinking mode, function calling, and built-in tools. Positioned by Alibaba as second only to Claude Fable 5 among frontier models, with particular strength in long-context agentic coding, document work, and visual reasoning. Previewed at the World AI Conference in Shanghai on 19 July 2026 and made broadly available on 3 August 2026.

Inkling Small

An open-weight multimodal mixture-of-experts model from Thinking Machines Lab with 12B active parameters out of 276B total, positioned as the smaller, more efficient member of the Inkling family. Accepts text, image, and audio input with reasoning, tool use, and a 524K-token context window.

Qwen 3.7 Flash

Alibaba's low-cost vision-language reasoning model, suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recognition and spatial understanding. Accepts text, image, and video input with a 1M-token context window.

Gemini 3.6 Flash

Google DeepMind's workhorse Flash model that builds on Gemini 3.5 Flash with better coding, knowledge work, and multimodal performance while reducing output token usage by roughly 17% per the Artificial Analysis Index. Natively multimodal across text, image, audio, and video with a 1M-token context window, configurable thinking levels, and built-in computer use, tuned for scaling agentic workflows at a lower cost per output token.

Claude Opus 5

Anthropic's new state-of-the-art model, a thoughtful and proactive successor to Opus 4.8 that approaches Claude Fable 5's frontier intelligence at half the price. Delivers major gains in coding, agentic workflows, computer use, knowledge work, and scientific research, with strong self-verification and iteration, configurable effort settings, and Anthropic's best alignment and safety results to date. Also available in a Fast mode that runs around 2.5x the default speed.

Gemini 3.5 Flash-Lite

Google's fastest and most cost-effective Gemini 3.5-class model, delivering around 350 output tokens per second per the Artificial Analysis Index. Designed for low-latency and high-throughput agentic workflows such as agentic search and document processing, with configurable thinking levels, built-in computer use, and full multimodal support across a 1M-token context window.

Kimi K3

Moonshot AI's flagship Kimi model for frontier intelligence, agentic coding, knowledge work, and deep reasoning. Kimi K3 supports a 1-million-token context window for long-running software engineering and research workflows.

Inkling

Thinking Machines Lab's open-weights general-purpose multimodal Mixture-of-Experts model with 975B total parameters and 41B active parameters. Inkling accepts text, image, and audio inputs, produces text, and is designed for agentic and tool-use systems, coding assistants, chatbots, and retrieval-augmented generation.

Muse Spark 1.1

Meta Superintelligence Labs' updated flagship, building on Muse Spark with stronger agentic reasoning, more reliable multi-agent orchestration, and improved multimodal understanding across voice, text, and image. Extends the context window and reduces latency and reasoning token usage while raising coding and tool-use accuracy. Powers Meta AI across its product ecosystem.

Gemini 3.5 Pro

Google DeepMind's flagship Gemini model, rebuilt on a new foundation with a 2M-token context window and a Deep Think reasoning mode for the hardest math, coding, and multimodal tasks. Natively multimodal across text, image, audio, and video with streaming function calling and strong long-context grounding.

GPT-5.6 Terra

The balanced tier of OpenAI's GPT-5.6 series, trading a small amount of peak quality for markedly lower latency and cost. Retains strong reasoning, coding, and agentic tool use with configurable reasoning effort, making it a default choice for production workloads that need frontier capability at scale.

GPT-5.6 Sol

OpenAI's flagship model in the GPT-5.6 series, advancing coding, scientific reasoning, long-horizon planning, and agentic workflows while improving reliability and efficiency on demanding real-world tasks. Adds a max reasoning-effort setting and an ultra mode that spawns subagents for complex, multi-step work.

GPT-5.6 Luna

The fast, low-cost tier of OpenAI's GPT-5.6 series, optimized for high-volume, latency-sensitive tasks such as classification, extraction, routing, and lightweight agentic steps. Approaches the larger GPT-5.6 tiers on many benchmarks while running several times faster at a fraction of the price.

Grok 4.5

xAI's strongest model to date, built to excel at coding, agentic tasks, and knowledge work and co-developed alongside coding tools for real-world software engineering. Features real-time information access, extended reasoning, and large-context tool use with an OpenAI-compatible API.

Claude Sonnet 5

Anthropic's most capable Sonnet-class model, bringing frontier coding, agentic, and professional-work performance to the midsize tier while closing the gap with Opus 4.8 at a lower price. Supports adaptive thinking with selectable reasoning effort levels, a 1M-token context window, and text, image, and file inputs. Codenamed Fennec.

Claude Fable 5

Anthropic's first publicly available Mythos-class model, exceeding the capabilities of any model the company has previously made generally available. State-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, vision, and scientific research. Its lead grows on longer and more complex tasks. Ships with built-in safeguards that route sensitive cybersecurity, biology, chemistry, and distillation queries to Claude Opus 4.8.

Claude Mythos 5

Anthropic's frontier Mythos-class model — the same underlying model as Claude Fable 5 but with safeguards lifted in some areas. It has the strongest cybersecurity capabilities of any model in the world, alongside state-of-the-art performance in software engineering, knowledge work, vision, and scientific research. Access is restricted to a small group of trusted cyberdefenders and infrastructure providers through Project Glasswing.

Gemma 4 12B

Google's medium-size open-weight model with 12 billion parameters from the Gemma 4 family. Encoder-free unified multimodal architecture that natively processes text, image, audio, and video inputs without dedicated encoders. Features a 256K context window and supports 140+ languages. First medium-sized model capable of natively ingesting audio. Suitable for local deployment on GPUs with 16GB VRAM.

MiniMax M3

MiniMax's frontier open-weight model with 1M-token context window, native multimodality (text, image, video), and strong coding capabilities. Built on MiniMax Sparse Attention (MSA) architecture, achieving 59% on SWE-Bench Pro with significantly improved efficiency at long context.

Claude Opus 4.8

Anthropic's most advanced model, building on Opus 4.7 with improvements across benchmarks in coding, agentic skills, reasoning, and knowledge work. Features enhanced honesty, better tool use efficiency, dynamic workflows support, and improved alignment.

Qwen 3.7 Plus

Alibaba's multimodal variant in the Qwen 3.7 family, optimized for vision understanding and multimodal tasks. Ranked

Gemini 3 Flash

Google's balanced model combining Gemini 3 Pro's reasoning capabilities with the Flash line's latency, efficiency, and cost. Features configurable thinking levels, multimodal function responses, and streaming function calling for complex agentic workflows.

Gemini 3.1 Flash-Lite

Google's most cost-efficient Gemini model optimized for high-volume, low-latency use cases. Delivers 2.5x faster time to first token versus Gemini 2.5 Flash with full multimodal support. Ideal for agentic tasks, data extraction, translation, and classification.

Gemini 3.5 Flash

Google DeepMind's balanced Gemini 3.5 model that pairs Pro-line reasoning quality with Flash-line latency and cost. Natively multimodal across text, image, audio, and video with a 1M-token context window, configurable thinking levels, and streaming function calling, tuned for high-throughput production workloads.

MiniCPM-V 4.6

Ultra-efficient multimodal language model from OpenBMB built on SigLIP2-400M and Qwen3.5-0.8B (~1B parameters). Supports single-image, multi-image, and video understanding with mixed 4x/16x visual token compression. Designed for edge deployment on iOS, Android, and HarmonyOS.

GPT-5.5

OpenAI's most capable model designed for complex real-world work including coding, online research, information analysis, and document creation. Features advanced agentic capabilities with tool search and multi-step task execution.

Qwen 3.6 27B

Alibaba's dense 27B parameter model that outperforms its own 397B MoE predecessor on agentic coding benchmarks. Strong multilingual and reasoning capabilities released under Apache 2.0.

Qwen 3.6 35B-A3B

Alibaba's efficient Mixture-of-Experts model with 35B total parameters and 3B active per token. Frontier-level agentic coding performance with 73.4% on SWE-bench Verified and 92.7 on AIME 2026. Released under Apache 2.0.

GPT-5.4 Mini

OpenAI's compact reasoning model optimized for coding, computer use, and subagent tasks. Approaches GPT-5.4 performance on several benchmarks while running more than 2x faster.

Muse Spark

Meta Superintelligence Labs' first model, featuring advanced reasoning, multimodal understanding, and agentic capabilities. Processes voice, text, and image inputs with tool use and multi-agent orchestration. Powers Meta AI across its product ecosystem.

Qwen 3.6 Plus

Alibaba's proprietary flagship model in the Qwen 3.6 family, targeting enterprise AI workflows with stronger agentic coding capability, visual coding support, and end-to-end enterprise engineering features.

Gemma 4 26B

Google's high-performance open-weight dense model with 26 billion parameters from the Gemma 4 family. Supports multimodal inputs including text and images with a 256K extended context window. Strong reasoning and code generation capabilities with all parameters active per forward pass.

Gemma 4 31B

Google's flagship open-weight dense model with 31B parameters. All parameters active per forward pass. Ranks among top open models with strong performance on AIME 2026 (89.2%) and MMLU Pro (85.2%). Supports vision and extended context.

Gemma 4 31B

Google's flagship open-weight dense model with 31 billion parameters from the Gemma 4 family. All parameters active per forward pass with top-tier performance on reasoning benchmarks including AIME 2026 and MMLU Pro. Supports vision and extended 256K context window.

Grok 4.3

xAI's latest and most intelligent model with strong agentic tool calling, minimal hallucinations, and configurable reasoning. Supports 1M token context window with competitive pricing.

Claude Opus 4.7

Anthropic's latest and most advanced model with state-of-the-art reasoning, coding, and analysis capabilities. Features improved tool use, extended thinking, and enhanced safety alignment.

GPT-5.4

OpenAI's frontier reasoning model combining advances in coding, reasoning, and agentic workflows. Features 1.1M token context window and strong performance on complex multi-step problems.

GPT-5.5 Pro

OpenAI's premium tier model with extended reasoning capabilities, higher accuracy on complex tasks, and priority access. Optimized for professional and enterprise workloads requiring maximum quality.

Gemini 3.1 Pro

Google's latest flagship multimodal model with state-of-the-art performance on reasoning, coding, and multimodal understanding. Features native tool use, grounding, and million-token context window.

Grok 4.20

xAI's multi-agent capable model with 2M token context window. Available in reasoning, non-reasoning, and multi-agent variants for diverse enterprise workloads.

Grok 4

xAI's latest model with real-time information access, strong reasoning capabilities, and competitive performance on coding and analysis tasks. Features improved tool use and multimodal understanding.

Claude Opus 4.6

Anthropic's most capable model in the Claude 4 family, excelling at complex analysis, extended reasoning, scientific research, and advanced code generation. Features significantly improved accuracy and reduced hallucinations.

Claude Sonnet 4.6

Anthropic's balanced model offering strong performance at lower cost and latency than Opus. Excellent for everyday coding, analysis, and content generation tasks with good reasoning capabilities.

Mistral Large 3

Mistral AI's largest open-weight model with 41B active parameters (675B total MoE). State-of-the-art general-purpose multimodal model with 256K context window and powerful agentic capabilities. Released under Apache 2.0.

Grok 4.1 Fast

xAI's fast and cost-effective model with 2M token context window. Offers both reasoning and non-reasoning modes at significantly lower pricing than flagship models.

Claude Sonnet 4.5

Anthropic's previous-generation balanced model with strong coding and analysis capabilities. Offers excellent price-performance ratio for production workloads requiring reliable quality.

Claude Haiku 4.5

Anthropic's fastest model with near-frontier intelligence. Optimized for high-throughput, low-latency applications requiring quick responses at minimal cost. Supports extended thinking.

Gemini 2.5 Pro

Google's high-capability reasoning model with adaptive thinking for complex agentic and multimodal challenges. Features 1M token context window and strong performance on coding and scientific tasks.

Gemini 2.5 Flash

Google's cost-effective model optimized for high throughput tasks. Balances speed and intelligence with strong multimodal capabilities and 1M token context window.

GPT-5

OpenAI's fifth-generation flagship model with significant improvements in reasoning, multimodal understanding, and code generation. Features enhanced instruction following and expanded context window.

Llama 4 Maverick

Meta's quality-focused MoE model with 17B active parameters (400B total, 128 experts). Targets quality-critical tasks with benchmark scores competitive with GPT-4o and Gemini 2.5 Pro.

Llama 4 Scout

Meta's efficient MoE model with 17B active parameters (109B total, 16 experts). Supports up to 10M token context — the longest of any production model. Strong performance on reasoning and multilingual tasks.

Gemma 3 27B

Google's largest open-weight model in the Gemma 3 family with 27 billion parameters. Supports multimodal inputs including text and images with a 128K context window. Delivers strong performance across reasoning, code generation, and vision tasks, competitive with larger proprietary models.

Gemma 3 12B

Google's mid-size open-weight model with 12 billion parameters from the Gemma 3 family. Supports multimodal inputs including text and images with a 128K context window. Strong performance on reasoning and code generation tasks at moderate compute cost.

Gemma 3 4B

Google's compact open-weight model with 4 billion parameters from the Gemma 3 family. Supports multimodal inputs including text and images with a 128K context window. Balances efficiency and capability for vision and language tasks.

Mistral Small 3.1

Mistral AI's Small 3.1 model with 24B parameters offering efficient multimodal capabilities including vision, function calling, and code generation with a large 128K context window.

Llama 3.2 90B Vision Instruct

Meta's largest multimodal open-weight model with 90 billion parameters from the Llama 3.2 family. Delivers strong performance on both text and image understanding tasks with competitive results on visual reasoning benchmarks. Designed for high-quality inference requiring vision capabilities.

Llama 3.2 11B Vision Instruct

Meta's multimodal open-weight model with 11 billion parameters from the Llama 3.2 family. Supports both text and image inputs, enabling visual understanding tasks alongside standard text generation. Suitable for applications requiring vision capabilities at moderate scale.

Claude 3 Opus

Anthropic's most powerful model in the Claude 3 family, excelling at complex analysis, nuanced content generation, scientific reasoning, and code generation with extended context support.

GPT-4

OpenAI's flagship large language model with advanced reasoning, instruction following, and code generation capabilities. Supports multimodal inputs including text and images.