[
  {
    "entity_type": "model",
    "slug": "claude-haiku-3-5",
    "name": "Claude Haiku 3.5",
    "provider": "Anthropic",
    "url": "/model/claude-haiku-3-5",
    "summary": "Anthropic Claude model entry for fast, efficient, and targeted API workloads.",
    "best_for": [
      "low-latency generation",
      "cost-sensitive generation",
      "agent workflow",
      "targeted classification"
    ],
    "updated_at": "2026-05-19",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Current ContextHub entry for Claude Haiku 3.5; use pinned Anthropic model IDs for production stability.",
    "source_links": [
      {
        "name": "Anthropic models overview",
        "url": "https://docs.anthropic.com/en/docs/about-claude/models/all-models",
        "type": "docs",
        "citation": "Official Anthropic model overview for Claude Haiku 3.5 model ID, context window, and capability positioning.",
        "last_verified": "2026-05-19"
      },
      {
        "name": "Anthropic TypeScript SDK",
        "url": "https://github.com/anthropics/anthropic-sdk-typescript",
        "type": "github",
        "citation": "GitHub SDK reference for Anthropic TypeScript and JavaScript API integration.",
        "last_verified": "2026-05-19"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "claude-opus-4-1",
    "name": "Claude Opus 4.7",
    "provider": "Anthropic",
    "url": "/model/claude-opus-4-1",
    "summary": "Anthropic flagship Claude Opus 4.7 entry for advanced reasoning, adaptive thinking, agent teams, and complex planning.",
    "best_for": [
      "reasoning",
      "code review",
      "agent planning",
      "long-form reasoning"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Claude Opus 4.7 (released May 2026) is the latest Anthropic flagship. Key upgrades include adaptive thinking for dynamic reasoning effort allocation and agent teams for multi-agent coordination with peer-to-peer mailbox protocol. 1M-token context window available in beta.",
    "source_links": [
      {
        "name": "Anthropic Claude Models",
        "url": "https://docs.anthropic.com/en/docs/about-claude/models/all-models",
        "type": "docs",
        "citation": "Official Anthropic model documentation is the primary source for Claude model IDs, context notes, and capability positioning.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "Anthropic Announcement Blog",
        "url": "https://www.anthropic.com/news",
        "type": "official",
        "citation": "Official Anthropic announcement blog for Claude Opus 4.7 release details, adaptive thinking, and agent teams features.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "Anthropic TypeScript SDK",
        "url": "https://github.com/anthropics/anthropic-sdk-typescript",
        "type": "github",
        "citation": "GitHub SDK reference for Anthropic server-side TypeScript and JavaScript API usage.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "claude-sonnet",
    "name": "Claude Sonnet 4.6",
    "provider": "Anthropic",
    "url": "/model/claude-sonnet",
    "summary": "Anthropic Claude Sonnet 4.6 model for balanced intelligence, coding, writing, and complex task orchestration with 1M-token context.",
    "best_for": [
      "code review",
      "long-form reasoning",
      "agent planning"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Claude Sonnet 4.6 (released February 2026) is the current Anthropic mid-tier model. It offers 200K-token context (1M in beta) and strong tool-use capabilities. Claude Sonnet 4.5 was released September 2025.",
    "source_links": [
      {
        "name": "Anthropic Claude Models",
        "url": "https://docs.anthropic.com/en/docs/about-claude/models/all-models",
        "type": "docs",
        "citation": "Official Anthropic model documentation is the primary source for Claude model IDs, context notes, and capability positioning.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "Anthropic Announcement Blog",
        "url": "https://www.anthropic.com/news",
        "type": "official",
        "citation": "Official Anthropic blog for Claude Sonnet 4.6 release and capability announcements.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "Anthropic TypeScript SDK",
        "url": "https://github.com/anthropics/anthropic-sdk-typescript",
        "type": "github",
        "citation": "GitHub SDK reference for Anthropic server-side TypeScript and JavaScript API usage.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "deepseek-v4",
    "name": "DeepSeek V4 (Pro-Max / Flash-Max)",
    "provider": "DeepSeek",
    "url": "/model/deepseek-v4",
    "summary": "DeepSeek V4-series models including V4-Pro-Max and V4-Flash-Max for coding, reasoning, and agent workflows with competitive pricing.",
    "best_for": [
      "coding",
      "agent workflow",
      "cost-sensitive generation"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "DeepSeek V4 variants released in April 2026: V4-Pro-Max (higher reasoning for complex tasks) and V4-Flash-Max (optimized for speed/latency). Both maintain 128K-token context and OpenAI-compatible API. DeepSeek-V3.2 (December 2025) is the latest V3-series reasoning model with lower pricing.",
    "source_links": [
      {
        "name": "DeepSeek API Documentation",
        "url": "https://api-docs.deepseek.com/",
        "type": "docs",
        "citation": "Official DeepSeek API documentation is the primary source for API compatibility and V4 variant notes.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "DeepSeek GitHub",
        "url": "https://github.com/deepseek-ai/DeepSeek-V3",
        "type": "github",
        "citation": "GitHub model-family reference for DeepSeek open model materials; API behavior should still be verified in official docs.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "deepseek-v3-1",
    "name": "DeepSeek-V3.2",
    "provider": "DeepSeek",
    "url": "/model/deepseek-v3-1",
    "summary": "DeepSeek-V3.2 reasoning model for math, coding, and tool-use workflows with cost-efficient pricing and OpenAI-compatible API.",
    "best_for": [
      "coding",
      "agent workflow",
      "cost-sensitive generation",
      "OpenAI-compatible integration"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "DeepSeek-V3.2 (released December 2025) is the latest V3-series reasoning model. Key improvements include tool-use in thinking mode and lower hallucination rates compared to leading competitors. V3.2 costs $0.25/M input and $0.40/M output — significantly cheaper than comparable Claude or GPT models.",
    "source_links": [
      {
        "name": "DeepSeek API Documentation",
        "url": "https://api-docs.deepseek.com/",
        "type": "docs",
        "citation": "Official DeepSeek API documentation for V3.2 model availability, pricing, and API compatibility.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "DeepSeek GitHub",
        "url": "https://github.com/deepseek-ai/DeepSeek-V3",
        "type": "github",
        "citation": "GitHub model-family reference for DeepSeek open model materials; API behavior should still be verified in official docs.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "devstral-2",
    "name": "Devstral 2",
    "provider": "Mistral AI",
    "url": "/model/devstral-2",
    "summary": "Mistral coding-agent model entry for software engineering tasks, coding workflows, and agentic development evaluation.",
    "best_for": [
      "coding",
      "agent workflow",
      "code review",
      "software engineering tasks"
    ],
    "updated_at": "2026-05-19",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Current ContextHub entry for Devstral 2; verify the exact API model ID and hosting path in Mistral documentation before production pinning.",
    "source_links": [
      {
        "name": "Mistral Models",
        "url": "https://docs.mistral.ai/models/",
        "type": "docs",
        "citation": "Official Mistral model documentation for Devstral model positioning and model catalog status.",
        "last_verified": "2026-05-19"
      },
      {
        "name": "Mistral TypeScript Client",
        "url": "https://github.com/mistralai/client-ts",
        "type": "github",
        "citation": "GitHub SDK reference for Mistral TypeScript and JavaScript API integration.",
        "last_verified": "2026-05-19"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "gemini-2-5-flash",
    "name": "Gemini 2.5 Flash",
    "provider": "Google",
    "url": "/model/gemini-2-5-flash",
    "summary": "Google Gemini model entry for low-latency, high-volume, multimodal, and agentic workloads.",
    "best_for": [
      "low-latency generation",
      "multimodal workflow",
      "agent workflow",
      "Google ecosystem"
    ],
    "updated_at": "2026-05-19",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Current ContextHub entry for Gemini 2.5 Flash; verify preview versus stable model code before production pinning.",
    "source_links": [
      {
        "name": "Gemini API Models",
        "url": "https://ai.google.dev/gemini-api/docs/models",
        "type": "docs",
        "citation": "Official Gemini API documentation for Gemini 2.5 Flash model code, capabilities, and context limits.",
        "last_verified": "2026-05-19"
      },
      {
        "name": "Google Gen AI SDK",
        "url": "https://github.com/googleapis/js-genai",
        "type": "github",
        "citation": "GitHub SDK reference for current Gemini and Vertex AI TypeScript or JavaScript integration.",
        "last_verified": "2026-05-19"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "gemini-3-pro",
    "name": "Gemini 3.1 Pro",
    "provider": "Google",
    "url": "/model/gemini-3-pro",
    "summary": "Google Gemini 3.1 Pro model for multimodal reasoning, breakthrough pattern recognition, Google ecosystem workflows, and search-grounded tasks with 1M-token context.",
    "best_for": [
      "multimodal workflow",
      "Google ecosystem",
      "search-grounded answers",
      "reasoning"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Gemini 3.1 Pro (released February 2026) is the latest Google flagship. It scored 77.1% on a novel pattern recognition benchmark — the highest of any model — significantly ahead of Claude Opus 4.6 (68.8%). Includes Nano Bano for image generation/editing and 1M-token context window.",
    "source_links": [
      {
        "name": "Gemini API Models",
        "url": "https://ai.google.dev/gemini-api/docs/models",
        "type": "docs",
        "citation": "Official Gemini API model documentation is the primary source for Gemini model capabilities and availability.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "Google Gen AI SDK",
        "url": "https://github.com/googleapis/js-genai",
        "type": "github",
        "citation": "GitHub SDK reference for Gemini and Vertex AI TypeScript or JavaScript integration.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "gemini-3-5-flash",
    "name": "Gemini 3.5 Flash",
    "provider": "Google",
    "url": "/model/gemini-3-5-flash",
    "summary": "Google Gemini 3.5 Flash lightweight model for low-latency generation, multimodal tasks, and cost-efficient Google ecosystem workflows.",
    "best_for": [
      "low-latency generation",
      "multimodal workflow",
      "cost-sensitive generation",
      "Google ecosystem"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Gemini 3.5 Flash (released May 19, 2026) is Google's latest lightweight model optimized for speed and cost-efficiency. It offers 1M-token context window and supports multimodal inputs, function calling, and search grounding.",
    "source_links": [
      {
        "name": "Gemini API Models",
        "url": "https://ai.google.dev/gemini-api/docs/models",
        "type": "docs",
        "citation": "Official Gemini API model documentation is the primary source for Gemini model capabilities and availability.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "Google Gen AI SDK",
        "url": "https://github.com/googleapis/js-genai",
        "type": "github",
        "citation": "GitHub SDK reference for Gemini and Vertex AI TypeScript or JavaScript integration.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "gemini-pro",
    "name": "Gemini Pro",
    "provider": "Google",
    "url": "/model/gemini-pro",
    "summary": "Model entry for multimodal work, search grounding, and Google ecosystem integration, used for scenario-based recommendations.",
    "best_for": [
      "multimodal workflow",
      "Google ecosystem",
      "search-grounded answers"
    ],
    "updated_at": "2026-05-17",
    "source_freshness": "recently_verified",
    "version_status": "legacy",
    "version_note": "Legacy ContextHub entry for Gemini Pro; use newer Gemini-specific slugs when exact current model selection matters.",
    "source_links": [
      {
        "name": "Google AI documentation",
        "url": "https://ai.google.dev/",
        "type": "official",
        "citation": "Official Google AI documentation is the primary source for Gemini API concepts and model behavior.",
        "last_verified": "2026-05-17"
      },
      {
        "name": "Google Gen AI SDK",
        "url": "https://github.com/googleapis/js-genai",
        "type": "github",
        "citation": "GitHub SDK reference for Gemini and Vertex AI TypeScript or JavaScript integration.",
        "last_verified": "2026-05-17"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "gpt-5-2",
    "name": "GPT-5.5",
    "provider": "OpenAI",
    "url": "/model/gpt-5-2",
    "summary": "OpenAI flagship GPT-5.5 model for coding, agentic tasks, reasoning workflows, and Responses API integrations with 400K-token context.",
    "best_for": [
      "coding",
      "agent workflow",
      "reasoning",
      "tool-use"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "GPT-5.5 (released April 23, 2026) is the current OpenAI flagship. Also available as GPT-5.5 Pro (higher compute reasoning) and GPT-5.5 Instant (lightweight, released May 5, 2026). GPT-5.5 improves hallucination rates over GPT-5.2 and extends context to 400K tokens.",
    "source_links": [
      {
        "name": "OpenAI API Models",
        "url": "https://platform.openai.com/docs/models",
        "type": "docs",
        "citation": "Official OpenAI model documentation is the primary source for API model availability and capability positioning.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "OpenAI Node SDK",
        "url": "https://github.com/openai/openai-node",
        "type": "github",
        "citation": "GitHub SDK reference for OpenAI JavaScript and TypeScript API integration.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "gpt-5-2-codex",
    "name": "GPT-5.5 Codex",
    "provider": "OpenAI",
    "url": "/model/gpt-5-2-codex",
    "summary": "OpenAI coding-specialized GPT-5.5 Codex model for long-horizon agentic coding tasks, repository edits, and test generation.",
    "best_for": [
      "coding",
      "agent workflow",
      "agentic coding",
      "code review"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "GPT-5.5 Codex is the latest OpenAI coding-specialized model, updated alongside the GPT-5.5 family (April 2026). It inherits the 400K-token context window and improved reasoning of GPT-5.5 while maintaining coding-specialized optimizations.",
    "source_links": [
      {
        "name": "OpenAI API Models",
        "url": "https://platform.openai.com/docs/models",
        "type": "docs",
        "citation": "Official OpenAI model documentation is the primary source for Codex model availability and model-family positioning.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "OpenAI Node SDK",
        "url": "https://github.com/openai/openai-node",
        "type": "github",
        "citation": "GitHub SDK reference for OpenAI JavaScript and TypeScript API integration.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "gpt-oss-120b",
    "name": "gpt-oss-120b",
    "provider": "OpenAI",
    "url": "/model/gpt-oss-120b",
    "summary": "OpenAI open-weight model entry for high-reasoning, agentic, and self-hosted deployment evaluation.",
    "best_for": [
      "open-weight deployment",
      "agent workflow",
      "reasoning",
      "local inference"
    ],
    "updated_at": "2026-05-19",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Current ContextHub entry for OpenAI gpt-oss-120b; runtime behavior depends on the selected inference stack and harmony format support.",
    "source_links": [
      {
        "name": "OpenAI gpt-oss model documentation",
        "url": "https://platform.openai.com/docs/models/gpt-oss",
        "type": "docs",
        "citation": "Official OpenAI documentation for gpt-oss model positioning, context limits, and supported features.",
        "last_verified": "2026-05-19"
      },
      {
        "name": "OpenAI gpt-oss GitHub repository",
        "url": "https://github.com/openai/gpt-oss",
        "type": "github",
        "citation": "GitHub reference for gpt-oss model weights, harmony format guidance, examples, and local inference paths.",
        "last_verified": "2026-05-19"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "gpt-oss-20b",
    "name": "gpt-oss-20b",
    "provider": "OpenAI",
    "url": "/model/gpt-oss-20b",
    "summary": "OpenAI open-weight model entry for lower-latency local, specialized, and cost-aware deployment paths.",
    "best_for": [
      "open-weight deployment",
      "local inference",
      "cost-sensitive generation",
      "low-latency generation"
    ],
    "updated_at": "2026-05-19",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Current ContextHub entry for OpenAI gpt-oss-20b; exact latency and memory requirements depend on runtime and quantization.",
    "source_links": [
      {
        "name": "OpenAI gpt-oss model documentation",
        "url": "https://platform.openai.com/docs/models/gpt-oss",
        "type": "docs",
        "citation": "Official OpenAI documentation for gpt-oss model positioning and supported use cases.",
        "last_verified": "2026-05-19"
      },
      {
        "name": "OpenAI gpt-oss GitHub repository",
        "url": "https://github.com/openai/gpt-oss",
        "type": "github",
        "citation": "GitHub reference for gpt-oss local runtime examples, format requirements, and implementation notes.",
        "last_verified": "2026-05-19"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "grok-4-3",
    "name": "Grok 4.3",
    "provider": "xAI",
    "url": "/model/grok-4-3",
    "summary": "xAI flagship model entry for agentic tool calling, instruction following, reasoning, and OpenAI-compatible Responses API integration.",
    "best_for": [
      "agent workflow",
      "tool-use",
      "reasoning",
      "OpenAI-compatible integration"
    ],
    "updated_at": "2026-05-18",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Current ContextHub entry for Grok 4.3 based on xAI model documentation and SDK guidance.",
    "source_links": [
      {
        "name": "xAI Grok 4.3 model documentation",
        "url": "https://docs.x.ai/developers/models/grok-4",
        "type": "official",
        "citation": "Official xAI model page for Grok 4.3 capability, context, and pricing verification.",
        "last_verified": "2026-05-18"
      },
      {
        "name": "xAI Python SDK",
        "url": "https://github.com/xai-org/xai-sdk-python",
        "type": "github",
        "citation": "GitHub SDK reference for xAI API integration and client usage.",
        "last_verified": "2026-05-18"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "llama-4-maverick",
    "name": "Llama 4 Maverick",
    "provider": "Meta",
    "url": "/model/llama-4-maverick",
    "summary": "Meta Llama 4 Maverick model entry for multimodal open-weight workflows, multilingual text, code generation, and local or hosted deployment evaluation.",
    "best_for": [
      "multimodal workflow",
      "document workflow",
      "coding",
      "cost-sensitive generation"
    ],
    "updated_at": "2026-05-18",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Current ContextHub entry for Llama 4 Maverick; Scout and other Llama variants should use separate model slugs.",
    "source_links": [
      {
        "name": "Meta Llama 4 Maverick model card",
        "url": "https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E",
        "type": "docs",
        "citation": "Meta-published model card for Llama 4 Maverick architecture, modality, context, and release details.",
        "last_verified": "2026-05-18"
      },
      {
        "name": "Meta Llama models GitHub repository",
        "url": "https://github.com/meta-llama/llama-models",
        "type": "github",
        "citation": "GitHub repository for Llama model metadata, tooling, license links, and inference guidance.",
        "last_verified": "2026-05-18"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "mistral-large-3",
    "name": "Mistral Large 3",
    "provider": "Mistral AI",
    "url": "/model/mistral-large-3",
    "summary": "Mistral Large 3 flagship model for multilingual tasks, general reasoning, and open-weight or API deployment with 256K-token context.",
    "best_for": [
      "coding",
      "agent workflow",
      "cost-sensitive generation",
      "multilingual",
      "OpenAI-compatible integration"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Mistral Large 3 (released December 2025, 675B total / 41B active MoE) is the Mistral AI flagship. Available as both API and open-weight model. Strong multilingual performance across 10+ languages. Mistral Medium 3.5 is a separate smaller model released April 2026.",
    "source_links": [
      {
        "name": "Mistral AI Documentation",
        "url": "https://docs.mistral.ai/",
        "type": "docs",
        "citation": "Official Mistral documentation is the primary source for model availability, API integration, and capability details.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "Mistral AI GitHub",
        "url": "https://github.com/mistralai",
        "type": "github",
        "citation": "GitHub organization for Mistral open-weight model releases and SDK references.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "mistral-medium-3-5",
    "name": "Mistral Medium 3.5",
    "provider": "Mistral AI",
    "url": "/model/mistral-medium-3-5",
    "summary": "Mistral model entry for coding, agentic workflows, and multimodal use cases.",
    "best_for": [
      "coding",
      "agent workflow",
      "multimodal workflow",
      "document workflow"
    ],
    "updated_at": "2026-05-17",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Current ContextHub entry for Mistral Medium 3.5; earlier Mistral Medium revisions should use separate model slugs when tracked.",
    "source_links": [
      {
        "name": "Mistral Models",
        "url": "https://docs.mistral.ai/models/",
        "type": "docs",
        "citation": "Official Mistral model documentation is the primary source for model availability and use-case positioning.",
        "last_verified": "2026-05-17"
      },
      {
        "name": "Mistral TypeScript Client",
        "url": "https://github.com/mistralai/client-ts",
        "type": "github",
        "citation": "GitHub SDK reference for Mistral TypeScript and JavaScript API integration.",
        "last_verified": "2026-05-17"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "o3",
    "name": "OpenAI o3 / o4-mini",
    "provider": "OpenAI",
    "url": "/model/o3",
    "summary": "OpenAI reasoning-optimized o-series models (o3 and o4-mini) for complex multi-step reasoning, math, science, and coding tasks.",
    "best_for": [
      "reasoning",
      "coding",
      "agent workflow",
      "tool-use"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "OpenAI o3 and o4-mini (released April 2025) are OpenAI's reasoning-optimized models. o3 is the full reasoning model with strong math/science performance; o4-mini is a smaller efficient variant. Both use chain-of-thought reasoning before answering and support vision inputs. GPT-5.5 is the general-purpose flagship for non-reasoning tasks.",
    "source_links": [
      {
        "name": "OpenAI API Models",
        "url": "https://platform.openai.com/docs/models",
        "type": "docs",
        "citation": "Official OpenAI model documentation is the primary source for o-series model availability and capability positioning.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "OpenAI Node SDK",
        "url": "https://github.com/openai/openai-node",
        "type": "github",
        "citation": "GitHub SDK reference for OpenAI JavaScript and TypeScript API integration.",
        "last_verified": "2026-05-21"
      }
    ]
  },
  {
    "entity_type": "model",
    "slug": "qwen3",
    "name": "Qwen3.6",
    "provider": "Alibaba Cloud",
    "url": "/model/qwen3",
    "summary": "Open-weight Qwen3.6 model family for hybrid thinking, multilingual tasks, coding, and OpenAI-compatible self-hosted serving with 128K context.",
    "best_for": [
      "reasoning",
      "coding",
      "cost-sensitive generation",
      "OpenAI-compatible integration"
    ],
    "updated_at": "2026-05-21",
    "source_freshness": "recently_verified",
    "version_status": "current",
    "version_note": "Qwen3.6 (released May 2026) is the latest Qwen family update. Available variants include Qwen3.6-27B, Qwen3.6-35B-A3B, and Qwen3.6 Plus. Maintains hybrid thinking/non-thinking modes and 128K-token context. Qwen3 remains available as the previous generation.",
    "source_links": [
      {
        "name": "Qwen official blog",
        "url": "https://qwenlm.github.io/blog/",
        "type": "official",
        "citation": "Official Qwen release blog for model family updates and capability documentation.",
        "last_verified": "2026-05-21"
      },
      {
        "name": "QwenLM Qwen GitHub repository",
        "url": "https://github.com/QwenLM/Qwen3",
        "type": "github",
        "citation": "GitHub repository for Qwen model family usage, serving, and framework integration notes.",
        "last_verified": "2026-05-21"
      }
    ]
  }
]