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.
Snowflake
Snowflake Arctic
CurrentLatestSnowflake Arctic is an enterprise-oriented open model emphasizing efficient training recipes and SQL-adjacent enterprise tasks inside the Snowflake ecosystem. It targets teams that want LLM features colocated with governed data in Snowflake Cortex.
NVIDIA
NVIDIA Nemotron-4 340B
CurrentLatestNVIDIA Nemotron-4 340B is a large open-weights model suite aimed at enterprise and research users who train and serve on NVIDIA stacks (NeMo, NGC). It targets GPU-native teams that need customizable checkpoints with NVIDIA-optimized tooling.
Mistral AI
Mistral 7B Instruct v0.3
CurrentLatestMistral 7B Instruct is a compact dense model that popularized efficient open-weight chat quality at small scale. It remains a baseline for fine-tunes and on-prem pilots where 13B+ models are too heavy.
OpenAI
o3-mini
CurrentLatestCompact reasoning-focused model in OpenAI’s o-series line aimed at strong STEM and coding performance with lower cost than full o3. Intended for developers who want reasoning without always paying flagship prices—confirm exact API availability and snapshot names in OpenAI docs.
OpenAI
text-embedding-3-large
CurrentLatesttext-embedding-3-large produces high-dimensional text embeddings for semantic search, clustering, and classification. Teams pair it with pgvector or SaaS vector DBs for RAG; output dimensions can be reduced with tradeoffs described in OpenAI documentation.
Microsoft
Phi-4
CurrentLatestPhi-4 is Microsoft Research’s small language model line focused on strong reasoning per parameter for on-device and low-cost cloud scenarios. Deployment often happens via Azure AI or Hugging Face hubs—confirm license for your channel.
AWS
Amazon Titan Text Premier
CurrentLatestTitan Text Premier is AWS’s managed text model for Bedrock workloads emphasizing integration with guardrails, knowledge bases, and private data patterns. It targets enterprise RAG and internal assistants rather than frontier creative writing.
Meta
Llama 3.1 8B Instruct
CurrentLatestLlama 3.1 8B Instruct is a small open-weights model for edge laptops, single-GPU servers, and ultra-low-latency assistants. Quality per dollar is competitive for simple tasks but not for frontier reasoning.
Gemma 2 27B
CurrentLatestGemma 2 27B is Google’s open-weights Gemma family checkpoint balancing quality and deployability for research and product teams that need permissive terms without Vertex-only APIs. It is often fine-tuned for domain tasks on TPU or GPU clusters.
Mistral AI
Mixtral 8x22B
CurrentLatestCatalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
Community
LLaVA
CurrentLatestCatalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
xAI
Grok 1.5
CurrentLatestCatalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
DeepSeek
DeepSeek Coder V2
CurrentLatestCatalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
Databricks
DBRX
CurrentLatestCatalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
Meta
Muse Spark 1.2
CurrentMuse Spark 1.2 is Meta's hosted coding and agent model for code generation, complex debugging, codebase understanding, long-horizon workflows, and tool use. It is available through Muse Code and Meta Model API with a 1M-token context window and separate standard and contributor data-use tiers.
Gemini 3.7 Flash
CurrentGemini 3.7 Flash is Google's workhorse model for coding, agents, web development, knowledge work, and multimodal workflows. Google documents availability through the Gemini API, Google AI Studio, Android Studio, Gemini Enterprise Agent Platform, and Gemini Spark, with a 1M-token input context and up to 64K output.
OpenAI
GPT-6 Sol
CurrentGPT-6 Sol is OpenAI's September 22, 2026 model for complex coding and agentic workflows, positioned as a faster and cheaper GPT-6 lane than GPT-6 Astra. The API model ID is gpt-6-sol, with a 1,050,000-token context window, 128,000 max output tokens, text and image input, and reasoning.effort from none through max (default medium). Standard text pricing is $2 input and $10 output per million tokens.
OpenAI
GPT-5.6 Sol
CurrentGPT-5.6 Sol is OpenAI's strongest GPT-5.6-class general-purpose model for coding, research, and defensive cybersecurity workflows. In the August 10, 2026 Daybreak expansion, Sol is the recommended starting point for most vetted defenders under Daybreak Blue, where system-level cyber guardrails are adjusted for authorized security work without switching to a purpose-trained cyber model.
Anthropic
Claude Sonnet 5
CurrentClaude Sonnet 5 is Anthropic's balanced current Sonnet model for agentic coding, tool use, and production knowledge work, offering a stronger cost-performance lane than prior Sonnet releases.
Anthropic
Claude Opus 5
CurrentClaude Opus 5 is Anthropic's advanced Claude model for complex agentic coding and enterprise work, with a 1M-token context window, adaptive thinking, and strong long-horizon task behavior.
Anthropic
Claude Fable 5
CurrentAnthropic's highest-capability widely released Claude model, documented for deep reasoning, codebase-scale work, long-context enterprise workloads, and multimodal inputs.
Gemini 2.5 Pro
CurrentGoogle's advanced Gemini model for complex tasks, with official Gemini API documentation calling out deep reasoning and coding capabilities.
OpenAI
GPT-5.6 Luna
CurrentOpenAI's GPT-5.6 Luna is the cost-sensitive GPT-5.6 tier for high-volume workloads that still need current GPT-5.6 behavior, vision input, structured outputs, and tool support.
DeepSeek
DeepSeek-V4-Pro
CurrentDeepSeek-V4-Pro is DeepSeek's V4 model for high-capability reasoning and agentic coding, available through DeepSeek's OpenAI-compatible and Anthropic-compatible API surfaces.
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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