MiMo-V2-Pro

xiaomi

MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like OpenClaw. It ranks among the global top tier in the standard PinchBench and ClawBench benchmarks, with perceived performance approaching that of Opus 4.6. MiMo-V2-Pro is designed to serve as the brain of agent systems, orchestrating complex workflows, driving production engineering tasks, and delivering results reliably.

MiMo-V2-Omni

xiaomi

MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability including visual grounding, multi-step planning, tool use, and code execution, making it well-suited for complex real-world tasks that span modalities.

MiniMax M2.7

minimax

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments. Trained for production-grade performance, M2.7 handles workflows such as live debugging, root cause analysis, financial modeling, and full document generation across Word, Excel, and PowerPoint. It delivers strong results on benchmarks including 56.2% on SWE-Pro and 57.0% on Terminal Bench 2, while achieving a 1495 ELO on GDPval-AA, setting a new standard for multi-agent systems operating in real-world digital workflows.

GPT-5.4 Mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale.

GPT-5.4 Nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale.

Mistral Small 4

mistral

Mistral Small 4 unifies the capabilities of Magistral (reasoning), Pixtral (multimodal), and Devstral (agentic coding) into a single efficient model. It handles complex analysis, software development, and visual tasks within the same workflow at $0.15/$0.60 per million tokens.

FLUX Schnell

black-forest-labs

A fast and cost-efficient FLUX model designed for high-throughput text-to-image generation.

FLUX 2 Dev

black-forest-labs

Black Forest Labs' FLUX 2 Dev model for high-quality generations with flexible controls.

FLUX 2 Pro

black-forest-labs

FLUX 2 Pro focuses on premium quality output with strong prompt adherence.

Google's Nano Banana (Gemini 2.5 Flash Image) is an image generation and editing model, optimized for fast, high-quality results. Tested on LMArena as 'nano-banana', it quickly outperformed Midjourney and Flux in blind tests.

Nano Banana Pro (Gemini 3 Pro Image) is Google's state-of-the-art image generation and editing model with resolution options up to 4K. Uses Gemini's advanced reasoning (Thinking) for high-fidelity text rendering and complex instructions.

Nano Banana 2 (Gemini 3.1 Flash Image Preview) is Google's latest state-of-the-art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced contextual understanding with fast, cost-efficient inference, making complex image generation and iterative edits significantly more accessible.

Google's high-quality text-to-image model focused on lighting, detail, and strong visual composition.

A faster and cheaper Imagen 3 variant for when speed and cost matter more than maximum quality.

Imagen 4 Ultra prioritizes maximum quality over speed and cost for best-in-class generations.

Imagen 4 Fast trades a bit of quality for significantly improved speed and cost.

Gemini 2.5 Flash variant tuned for fast text-to-image generation and simple image edits.

Midjourney v1

midjourney

The first public release of Midjourney, introducing AI image generation to a wider audience through its Discord-based interface.

Midjourney v2

midjourney

Midjourney v2 improved on the original model with better coherence, detail, and more consistent style application.

Midjourney v3

midjourney

Midjourney v3 introduced significantly improved artistic capabilities with better understanding of prompt nuances and artistic styles.

Midjourney v4

midjourney

Midjourney v4 marked a major leap forward with dramatically improved photorealism, coherence, and prompt understanding, trained on Google TPUs for the first time.

Midjourney v5

midjourney

Midjourney v5 produces realistic images.

Midjourney v6

midjourney

Midjourney v6 produces realistic images.

Midjourney v6.1

midjourney

Midjourney v6.1 introduced a native web interface alongside Discord, with improved detail rendering, better text handling, and enhanced image coherence.

OpenAI's most powerful reasoning model, pushing the frontier across coding, math, science, and visual perception. Trained to think longer before responding and agentically use tools (web search, code execution, image generation) to solve complex problems. Sets new SOTA on benchmarks like Codeforces and MMMU.

A smaller, cost-efficient reasoning model from OpenAI optimized for speed. Achieves remarkable performance for its size, particularly in math, coding, and visual tasks. Supports significantly higher usage limits than o3 and can agentically use tools.

OpenAI o4-mini-high is the same model as o4-mini but defaults to a high reasoning effort setting. It's a compact reasoning model optimized for speed and cost-efficiency, retaining strong multimodal and agentic capabilities, especially in math, coding, and visual tasks.

DALL-E 3 auto-improves user inputs via ChatGPT integration and blocks prohibited content with 99.9% precision using multimodal classifiers.

OpenAI's latest image generation model with strong instruction following, optional transparent backgrounds, and quality controls.

GPT Image 1.5 with `quality=low` for faster and cheaper generations.

GPT Image 1.5 with `quality=medium` for balanced cost and quality.

GPT Image 1.5 with `quality=high` for maximum fidelity.

Grok 3 is a cutting-edge AI model from xAI with Big Brain Mode for complex problems, Colossus Supercomputer integration, and Reinforcement Learning optimization. Achieves 1402 Elo on LMArena benchmarks and 93.3% on AIME 2025 mathematics competition.

Grok 3 Thinking exposes the full chain-of-thought process during problem-solving, including error backtracking and alternative solution exploration. Scores 84.6% on GPQA Diamond benchmark for expert-level Q&A.

Grok 3 Mini is a lightweight, smaller thinking model ideal for reasoning-heavy tasks that don't demand extensive domain knowledge. It shines in math-specific and quantitative use cases. Transparent 'thinking' traces accessible.

Grok 3 Beta is xAI's flagship model excelling at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science. Outperforms Grok 3 Mini on high thinking tasks.