Structured cards
Model database
Filter by provider, architecture family, or full-text search across descriptions.
Frontier models
Verified flagships and this month’s launches—Gemini 4 Argon, Nano Banana 2.1, EmbeddingGemma 2, Mistral Large 4, Claude Sonnet 5.5, and GPT-6.1 Sol. Scroll sideways for the full shelf.
By company
Latest verified models from each frontier company, summarized on one page.
All models
Filter and paginate the full catalog. Tabs control lifecycle scope.
Alibaba Qwen
Qwen3.6-27B
LegacyQwen3.6-27B is Alibaba Qwen's Apache 2.0 open-weight multimodal model for coding, repository-level reasoning, tool-driven workflows, and long-context tasks. The official model card documents a 27B language model with a vision encoder, 262,144 tokens of native context, optional extension to 1,010,000 tokens, and support in Transformers, vLLM, SGLang, and KTransformers.
Z.ai
GLM-5.2
LegacyGLM-5.2 is Z.ai's open-weight model for long-horizon reasoning, coding, and agent workflows. Official Z.ai and Hugging Face materials document a one-million-token context window, flexible reasoning effort, a mixture-of-experts architecture, and MIT-licensed weights.
Alibaba Qwen
Qwen3.8-Max-Preview
LegacyQwen3.8-Max-Preview is Alibaba's July 2026 preview of its newest Qwen Max model for coding, agentic, and general reasoning workflows. Alibaba's Qwen Code materials identify qwen3.8-max as qwen3.8-max-preview; because this is a preview, endpoint behavior, limits, pricing, and availability should be treated as changeable.
xAI
Grok 4.5
LegacyGrok 4.5 is xAI's frontier model for coding, agentic tasks, and knowledge work, available through the xAI API and in Cursor as a first-party model option.
Anthropic
Claude Opus 4.7
LegacyAnthropic's most capable generally available Claude model for complex reasoning and agentic coding, documented in the Claude model overview.
Anthropic
Claude Opus 4.8
LegacyAnthropic's current Opus-tier Claude model, documented for complex reasoning, coding, and multimodal enterprise workloads below the newer Fable tier.
OpenAI
GPT-5.5
LegacyOpenAI's current flagship model for complex reasoning, coding, and professional work, documented in the OpenAI API model guide as the default starting point for high-complexity workloads.
Gemini 3.5 Flash
LegacyGemini 3.5 Flash is Google's stable Gemini 3-series Flash model for agentic and coding tasks where teams need strong performance with lower latency and cost than Pro.
Gemini 1.5 Pro
LegacyGoogle DeepMind Gemini 1.5 Pro targets long-context multimodal workloads—large effective context for retrieval-heavy document pipelines, plus image, audio, and video inputs on supported surfaces. It is often paired with Vertex AI or the Gemini API for enterprise workloads on GCP.
DeepSeek
DeepSeek-V3
LegacyDeepSeek-V3 is a large-scale language model family noted for strong coding and math performance under open or research-friendly terms (verify the exact license for your deployment). Teams adopt it for cost-sensitive research, self-hosted inference, or comparison against frontier APIs.
Anthropic
Claude 3.5 Sonnet
LegacyAnthropic’s balanced Sonnet-tier model tuned for long-context reasoning, careful instruction following, and strong performance on coding and analysis workloads. It is a common enterprise choice on the Anthropic API and on AWS Bedrock when teams need large context for RAG and document review.
Mistral AI
Mistral Large 2
LegacyMistral’s frontier-class multilingual model emphasizing JSON adherence, agent-friendly behavior, and competitive reasoning within the Mistral API ecosystem. European teams often evaluate it for GDPR-adjacent deployment patterns alongside US-hosted alternatives.
OpenAI
GPT-5.4
LegacyOpenAI's GPT-5.4 model, documented in the official OpenAI API model guide as part of the current GPT-5 family below the GPT-5.5 flagship lane.
OpenAI
GPT-4o
LegacyGPT-4o is an OpenAI multimodal model that accepts text and image inputs and produces text. It supports streaming, function calling, Structured Outputs, fine-tuning, and predicted outputs for vision-heavy assistants and structured extraction workflows.
xAI
Grok-2
LegacyGrok-2 is xAI’s flagship chat model positioned for real-time knowledge integrations and high-throughput conversational products on xAI’s API. Availability and pricing evolve—treat capabilities as vendor-specific.
Alibaba
Qwen 2.5 72B Instruct
LegacyQwen 2.5 72B Instruct is a large multilingual open-weights model from Alibaba’s Qwen family with strong coding and general chat performance. Common in APAC deployments and on Hugging Face inference endpoints—check license terms for commercial use.
Anthropic
Claude Sonnet 4.6
LegacyAnthropic's Sonnet-tier model documented as the best combination of speed and intelligence in the Claude model overview.
OpenAI
o1
LegacyOpenAI’s o1 series emphasizes extended internal reasoning before answering—useful for competition-style math, complex debugging, and multi-step planning where latency is acceptable. It behaves differently from standard chat models: tune prompts for chain-of-thought style tasks and measure time-to-first-token.
Gemini 2.5 Flash-Lite
LegacyGoogle's fastest and most budget-friendly multimodal model in the Gemini 2.5 family, according to the Gemini API model documentation.
DeepSeek
DeepSeek-V3.2
LegacyDeepSeek's documented successor to the V3.2 experimental line, positioned in official DeepSeek API news as live on app, web, and API.
OpenAI
GPT-5.4 mini
LegacyOpenAI's smaller GPT-5.4 mini model, documented in the official OpenAI API model guide for lower-latency or lower-cost GPT-5 family workloads.
OpenAI
GPT-5.4 nano
LegacyOpenAI's smallest GPT-5.4 nano model, documented in the official OpenAI API model guide for very low-latency or economical GPT-5 family routing.
Gemini 1.5 Flash
LegacyGemini 1.5 Flash targets low-latency, cost-efficient multimodal chat and retrieval workloads on the Gemini API and Vertex AI. It keeps much of the long-context family behavior with faster responses for interactive apps.
Anthropic
Claude 3.5 Haiku
LegacyClaude 3.5 Haiku is Anthropic’s fast, cost-efficient tier for high-volume classification, routing, and simple chat. It targets latency-sensitive paths and agent pre-processing before escalating to Sonnet-class models.
Recommended
Top current models by information quality score — good defaults when you are not sure where to start.
Anthropic
Claude Opus 5.5
CurrentLatestClaude Opus 5.5 is Anthropic's September 22, 2026 Opus-class model for long-running agentic coding and knowledge work, and the first model in the Claude 5.5 family. The Claude API ID is claude-opus-5-5, with a 1M-token context window, 128K synchronous max output, adaptive thinking that cannot be disabled, and default effort medium. Anthropic prices it at $4 input and $20 output per million tokens and says typical workloads cost about 40% less to run than Opus 5.
OpenAI
GPT-Image-2.5 Sunburst
CurrentLatestGPT-Image-2.5 Sunburst is OpenAI's September 8, 2026 most capable image generation and editing model. The API ID is gpt-image-2.5-sunburst, with dated snapshot gpt-image-2.5-sunburst-2026-09-08. It takes text and image input and outputs images. OpenAI positions it for workflows where editing precision matters most, with quality settings low, medium, high, xhigh, max, and auto. Call it on the Images API or as the model of the Responses API image generation tool.
Alibaba Qwen
Qwen3.8-27B
CurrentLatestQwen3.8-27B is Qwen's deployment-oriented dense multimodal model for coding, professional work, research, and long-horizon agents. The official repository documents 27B parameters, native image and video understanding, flexible reasoning effort, a 262,144-token native context extensible to 1M, and compatibility with Transformers, vLLM, SGLang, and TokenSpeed.
Meta
Muse Glimmer 30B
CurrentLatestMuse Glimmer 30B is Meta Superintelligence Labs' open-weight multimodal model for local agents, coding, tool use, long-horizon reasoning, and image understanding. Meta's model card documents a dense 29.6B-parameter architecture with a dedicated perception encoder, 131,072+ context, text-and-image input, text output, controllable reasoning effort, and Apache 2.0 weights.
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