AI Models Compared

Near-Astra intelligence for a fifth of the price

Cost-efficient mid-tier model for complex professional work and coding

Faster, sharper, smarter image generation

The world's most intelligent and aligned model

OpenAI's next major model with critical cybersecurity capabilities

A new generation of full-duplex voice models for natural human-AI conversation

Purpose-trained model for advanced cybersecurity research and vulnerability testing

OpenAI's next-generation GPT-5.6 model family: Sol, Terra, and Luna

OpenAI's most capable and security-hardened frontier model, in limited preview

The fast, default ChatGPT model tuned for low-latency responses

OpenAI's smartest general-purpose frontier model for professional work

Capable, cost-efficient predecessor to GPT-5.5 with a 1M+ context window

OpenAI's landmark August 2025 flagship: strong reasoning at a low price

OpenAI's first-generation deep-reasoning model that thinks before answering

OpenAI's versatile, fast multimodal workhorse (text + image)

Faster, cheaper mid-tier model for everyday tasks and agentic work

The strongest-performing model we've tested to date

Anthropic's frontier-tier model designed for advanced cybersecurity and critical infrastructure work

Point release of Anthropic's flagship, tuned for long-horizon agentic work with a large effective price cut.

Thoughtful and proactive model matching Fable 5 intelligence at half the price

The best combination of speed and intelligence, at near-Opus quality for a Sonnet price.

Anthropic's most capable widely released model - frontier intelligence for long-running agents.

Anthropic's top general-availability workhorse for complex agentic coding and enterprise work.

The April 2026 Opus flagship - top-tier coding and vision, now superseded by Opus 4.8.

Anthropic's most capable Sonnet-class model of early 2026, now superseded by Sonnet 5.

Anthropic's fastest, cheapest model with near-frontier intelligence.

Google's frontier model for real-world coding, enterprise knowledge work, and cybersecurity defense

Advanced text-to-speech with natural language voice design and line-by-line performance direction

Most intelligent workhorse model with enhanced reasoning and coding

The most precise speech-to-text model yet

Most intelligent workhorse model yet for coding and agents

More token efficient and cheaper workhorse model for coding and knowledge work

Cost-efficient cybersecurity-focused model for vulnerability detection and patching

Create anything from any input with conversational video editing

The fastest, most cost-efficient image generation model in the Nano Banana family

Google's laptop-runnable open multimodal model with a unified encoder-free design.

Most advanced live dialogue model for natural, real-time voice conversations

High-level reasoning brain for robots enabling video understanding, task orchestration, and multi-robot collaboration

Google's frontier model for agents and coding, made fast and cheap.

Google's advanced thinking model for complex reasoning, coding, and long context.

Google's price-performance workhorse with thinking and a 1M-token context.

Google's open, multimodal, multilingual long-context model family.

A 125B MoE architecture preview of Qwen4 with only 6B active parameters per token

Apache 2.0 dense multimodal model designed for local deployment on consumer hardware

2.4 trillion-parameter multimodal flagship model, claimed second only to Claude Fable 5

Cost-effective document parsing at enterprise scale

Cohere's first open-weight agentic coding model - 30B MoE, 3B active, runs on one H100.

Cohere's RAG- and tool-use-optimized model, still live but superseded by Command A.

Open-weight 1.6T-param MoE frontier model with a 1M-token context built for agents.

Compact 284B-param open MoE that keeps a 1M context at a fraction of Pro's cost.

The open-weight 671B-param MoE that put DeepSeek on the frontier map.

Open-weight agentic AI that runs on consumer GPUs and laptops

Image generation model with visual reasoning capabilities built for Meta's ecosystem

Meta's natively multimodal open MoE herd with industry-leading context length.

8B embodied navigation model for autonomous robot movement using single RGB camera and natural language instructions

State-of-the-art document OCR that turns PDFs and scans into structured Markdown.

Mistral's state-of-the-art, open-weight, general-purpose multimodal flagship.

Alibaba's open-weight model family with switchable thinking and non-thinking modes.

Amazon's balanced multimodal Bedrock model for text, image, and video at scale.

Anonymous frontier model for coding and agentic work with 1M token context.

Efficient open-weight small language model for finding known vulnerabilities in codebases

Frontier coding performance at 64% lower cost

Microsoft's first dedicated cybersecurity AI model combining efficiency and performance

Open frontier intelligence with 2.8T parameters and 1M context window

The West's most capable open-weight model for agentic coding

Enterprise CRM reasoning model for Agentforce built on NVIDIA Nemotron

Frontier model for long-running agents, coding, and knowledge work

Opus-class frontier model optimized for coding, agents, and knowledge work at half the cost

A divergence model designed to generate diverse, creative outputs instead of converging on predictable answers

Fiduciary-Grade AI for Professional Work

Structured decision model for programmatic automation with calibrated probabilities

Frontier-level performance for marketing and revenue teams with dramatically lower costs

SpaceXAI's most capable model for coding and knowledge work

Cost-optimized mixture-of-experts model for multimodal coding and long-context tasks

Open-weights flagship model for long-horizon coding and agentic tasks with 1M-token context