{
  "meta": {
    "generated": "2026-10-12T05:34:42.017Z",
    "version": "1.0",
    "frozen_on": "2026-10-11",
    "reason": "Scope narrowed to hosted consumer AI products from providers with roughly 1% or greater public market share, and maintenance was slimmed. Self-hosted runtimes and open-model access records fall outside that line, so they were frozen rather than kept current.",
    "page": "https://aitool.watch/archive.html",
    "counts": {
      "products": 3,
      "model_access": 11,
      "providers": 7
    }
  },
  "products": [
    {
      "id": "lm-studio",
      "name": "LM Studio",
      "provider": "lm-studio",
      "product_kind": "runtime",
      "status": "archived",
      "pricing_page": "https://lmstudio.ai/",
      "default_surfaces": [
        "desktop",
        "api"
      ],
      "summary": "LM Studio is a local desktop runtime product for discovering, loading, and chatting with open models through a GUI and optional local API.",
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-24",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/lm-studio-runtime.md",
      "source_heading": "LM Studio",
      "page": "archive.html#runtime-lm-studio"
    },
    {
      "id": "ollama",
      "name": "Ollama",
      "provider": "ollama",
      "product_kind": "runtime",
      "status": "archived",
      "pricing_page": "https://ollama.com/",
      "default_surfaces": [
        "desktop",
        "terminal",
        "api"
      ],
      "summary": "Ollama is a local runtime product for downloading, serving, and interacting with open models through a CLI, desktop app, and local API.",
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-24",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/ollama-runtime.md",
      "source_heading": "Ollama",
      "page": "archive.html#runtime-ollama"
    },
    {
      "id": "text-generation-webui",
      "name": "text-generation-webui",
      "provider": "oobabooga",
      "product_kind": "runtime",
      "status": "archived",
      "pricing_page": "https://github.com/oobabooga/text-generation-webui",
      "default_surfaces": [
        "web",
        "terminal",
        "api"
      ],
      "summary": "text-generation-webui is a flexible self-hosted runtime product for serving and experimenting with local models through a browser UI and advanced configuration options.",
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-07",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/oobabooga-runtime.md",
      "source_heading": "text-generation-webui",
      "page": "archive.html#runtime-text-generation-webui"
    }
  ],
  "model_access": [
    {
      "id": "codestral",
      "name": "Codestral",
      "provider": "mistral",
      "status": "archived",
      "summary": "Mistral's code-specialized open model line for self-hosted coding workflows.",
      "deployment_modes": [
        "self-hosted",
        "local-api",
        "terminal"
      ],
      "common_runtimes": [
        "Ollama",
        "local API wrappers"
      ],
      "constraints": [
        "consumer GPU use is realistic only with enough VRAM or quantization",
        "primarily valuable for coding rather than general-purpose multimodal use",
        "not a standalone chat product by itself"
      ],
      "related_capabilities": [
        "write-and-edit-code"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-20",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/mistral-open-models.md",
      "source_heading": "Codestral (Mistral)",
      "page": "archive.html#mistral-open-models-codestral-mistral"
    },
    {
      "id": "deepseek-v3-r1",
      "name": "DeepSeek V3 / R1",
      "provider": "deepseek",
      "status": "archived",
      "summary": "DeepSeek's open model family spanning large general-purpose and reasoning-oriented self-hosted models.",
      "deployment_modes": [
        "self-hosted",
        "local-on-device",
        "local-api"
      ],
      "common_runtimes": [
        "Ollama",
        "local inference stacks"
      ],
      "constraints": [
        "the full flagship models need serious hardware",
        "local use usually depends on distilled or quantized variants",
        "organizational policy may restrict use based on provider origin"
      ],
      "related_capabilities": [
        "write-and-explain"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-21",
      "last_checked": "2026-09-04",
      "source_file": "data/archive/platforms/deepseek-open-models.md",
      "source_heading": "DeepSeek-V3.2 (unified V3 + R1)",
      "page": "archive.html#deepseek-open-models-deepseek-v3-2-unified-v3-r1"
    },
    {
      "id": "leanstral",
      "name": "Leanstral",
      "provider": "mistral",
      "status": "archived",
      "summary": "Mistral's open-source code agent specialized for Lean 4 proof engineering. Apache 2.0 weights with MCP tool-use training. Also available via the Mistral Labs API endpoint `labs-leanstral-2603` and agent mode in Mistral Vibe.",
      "deployment_modes": [
        "self-hosted",
        "local-api",
        "cloud-api (Mistral Labs endpoint)",
        "web (Mistral Vibe)"
      ],
      "common_runtimes": [
        "Ollama",
        "local API wrappers",
        "Mistral Vibe (agent mode)",
        "Mistral Labs API"
      ],
      "constraints": [
        "specialized for Lean 4 formal verification, not general-purpose coding",
        "Labs API endpoint may be time-limited",
        "consumer GPU use depends on model size and quantization"
      ],
      "related_capabilities": [
        "write-and-edit-code",
        "take-actions-and-run-tools"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-24",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/mistral-open-models.md",
      "source_heading": "Leanstral (Mistral)",
      "page": "archive.html#mistral-open-models-leanstral-mistral"
    },
    {
      "id": "llama-3-3",
      "name": "Llama 3.3",
      "provider": "meta",
      "status": "archived",
      "summary": "Meta's open-weight Llama 3.3 family for self-hosted general-purpose use.",
      "deployment_modes": [
        "self-hosted",
        "local-on-device",
        "local-api"
      ],
      "common_runtimes": [
        "Ollama",
        "LM Studio"
      ],
      "constraints": [
        "higher-end variants still need significant VRAM",
        "practical local use often depends on quantized builds",
        "not a packaged end-user product by itself"
      ],
      "related_capabilities": [
        "write-and-explain"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-20",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/meta-open-models.md",
      "source_heading": "Llama 3.3 (Meta)",
      "page": "archive.html#meta-open-models-llama-3-3-meta"
    },
    {
      "id": "llama-4",
      "name": "Llama 4",
      "provider": "meta",
      "status": "archived",
      "summary": "Meta's Llama 4 family extends local/open model access into multimodal and very large-context self-hosted use.",
      "deployment_modes": [
        "self-hosted",
        "local-on-device",
        "local-api"
      ],
      "common_runtimes": [
        "LM Studio",
        "vLLM",
        "Ollama"
      ],
      "constraints": [
        "model size and context claims can exceed ordinary consumer hardware",
        "license terms differ from permissive Apache-style models",
        "multimodal support depends on runtime compatibility"
      ],
      "related_capabilities": [
        "see-images-and-screens",
        "write-and-explain"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-04-07",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/meta-open-models.md",
      "source_heading": "Llama 4 (Meta)",
      "page": "archive.html#meta-open-models-llama-4-meta"
    },
    {
      "id": "mistral-large-nemo",
      "name": "Mistral Large / Nemo",
      "provider": "mistral",
      "status": "archived",
      "summary": "Mistral's open model family ranges from consumer-friendly Nemo to much larger self-hosted models approaching frontier quality.",
      "deployment_modes": [
        "self-hosted",
        "local-on-device",
        "local-api"
      ],
      "common_runtimes": [
        "Ollama",
        "LM Studio"
      ],
      "constraints": [
        "runtime practicality depends heavily on which model size is chosen",
        "larger variants need serious GPU capacity",
        "the model family should not be treated as a single hardware profile"
      ],
      "related_capabilities": [
        "write-and-explain"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-21",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/mistral-open-models.md",
      "source_heading": "Mistral Large / Mistral Nemo",
      "page": "archive.html#mistral-open-models-mistral-large-mistral-nemo"
    },
    {
      "id": "mistral-small-3",
      "name": "Mistral Small 3",
      "provider": "mistral",
      "status": "archived",
      "summary": "Mistral Small 3 is a locally runnable open model line focused on strong general performance at more achievable hardware sizes.",
      "deployment_modes": [
        "self-hosted",
        "local-on-device",
        "local-api"
      ],
      "common_runtimes": [
        "Ollama",
        "LM Studio",
        "web UIs over local runtimes"
      ],
      "constraints": [
        "consumer use is realistic but still depends on memory and quantization choices",
        "capabilities change across minor versions",
        "performance claims depend on runtime and hardware"
      ],
      "related_capabilities": [
        "write-and-explain"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-04-06",
      "last_checked": "2026-09-01",
      "source_file": "data/archive/platforms/mistral-open-models.md",
      "source_heading": "Mistral Small 3",
      "page": "archive.html#mistral-open-models-mistral-small-3"
    },
    {
      "id": "mistral-small-4",
      "name": "Mistral Small 4",
      "provider": "mistral",
      "status": "archived",
      "summary": "Mistral Small 4 is a 119B Mixture-of-Experts model (128 experts, 4 active per token, ~6–6.5B active parameters) that unifies instruct, reasoning, multimodal, and agentic coding into a single open model. Apache 2.0 license. 256k context window with native vision and a configurable `reasoning_effort` parameter. Available via Mistral API and self-hosted, but requires datacenter-class GPUs (4× H100 minimum).",
      "deployment_modes": [
        "self-hosted",
        "cloud-api (Mistral API / AI Studio)",
        "cloud-api (NVIDIA NIM)"
      ],
      "common_runtimes": [
        "vLLM",
        "SGLang",
        "llama.cpp",
        "NVIDIA NIM",
        "Mistral API"
      ],
      "constraints": [
        "datacenter-class hardware required: minimum 4× H100 or 2× H200 or 1× DGX B200",
        "NOT practical for consumer GPUs despite being open-weight",
        "119B total parameters but only ~6–6.5B active per token (MoE); the announcement says 6B, the docs page and model card say 6.5B",
        "FP8/NVFP4 support recommended for optimal performance"
      ],
      "related_capabilities": [
        "write-and-explain",
        "see-images-and-screens",
        "write-and-edit-code",
        "take-actions-and-run-tools"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-24",
      "last_checked": "2026-09-23",
      "source_file": "data/archive/platforms/mistral-open-models.md",
      "source_heading": "Mistral Small 4",
      "page": "archive.html#mistral-open-models-mistral-small-4"
    },
    {
      "id": "qwen-2-5",
      "name": "Qwen 2.5",
      "provider": "alibaba",
      "status": "archived",
      "summary": "Alibaba's Qwen 2.5 family offers a broad range of self-hosted model sizes from lightweight local use to much larger deployments.",
      "deployment_modes": [
        "self-hosted",
        "local-on-device",
        "local-api"
      ],
      "common_runtimes": [
        "Ollama",
        "LM Studio"
      ],
      "constraints": [
        "capability and hardware requirements vary substantially by size",
        "organizational policy may restrict use based on provider origin",
        "the family includes both practical local sizes and much larger variants"
      ],
      "related_capabilities": [
        "write-and-explain",
        "write-and-edit-code"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-22",
      "last_checked": "2026-09-04",
      "source_file": "data/archive/platforms/alibaba-open-models.md",
      "source_heading": "Qwen 2.5 (Alibaba)",
      "page": "archive.html#alibaba-open-models-qwen-2-5-alibaba"
    },
    {
      "id": "qwen-3",
      "name": "Qwen 3",
      "provider": "alibaba",
      "status": "archived",
      "summary": "Alibaba's Qwen 3 family extends local/open model access with a wide size range and hybrid thinking behaviors.",
      "deployment_modes": [
        "self-hosted",
        "local-on-device",
        "local-api"
      ],
      "common_runtimes": [
        "Ollama",
        "LM Studio",
        "local web UIs"
      ],
      "constraints": [
        "model sizes range from practical local options to very large MoE deployments",
        "reasoning-style behaviors may depend on runtime or prompt controls",
        "the family is still model access, not a standalone product experience"
      ],
      "related_capabilities": [
        "write-and-explain"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-04-06",
      "last_checked": "2026-09-04",
      "source_file": "data/archive/platforms/alibaba-open-models.md",
      "source_heading": "Qwen 3 (Alibaba)",
      "page": "archive.html#alibaba-open-models-qwen-3-alibaba"
    },
    {
      "id": "qwen-coder",
      "name": "Qwen-Coder",
      "provider": "alibaba",
      "status": "archived",
      "summary": "Qwen-Coder is Alibaba's code-focused open model line for self-hosted coding tasks.",
      "deployment_modes": [
        "self-hosted",
        "local-api",
        "terminal"
      ],
      "common_runtimes": [
        "Ollama",
        "LM Studio"
      ],
      "constraints": [
        "tuned for coding rather than broad multimodal use",
        "local performance depends on model size and quantization",
        "not a packaged end-user coding product by itself"
      ],
      "related_capabilities": [
        "write-and-edit-code"
      ],
      "archived": true,
      "archived_on": "2026-10-11",
      "last_verified": "2026-03-31",
      "last_checked": "2026-09-04",
      "source_file": "data/archive/platforms/alibaba-open-models.md",
      "source_heading": "Qwen3-Coder-Next (Alibaba)",
      "page": "archive.html#alibaba-open-models-qwen3-coder-next-alibaba"
    }
  ],
  "providers": [
    {
      "id": "alibaba",
      "name": "Alibaba",
      "website": "https://qwenlm.github.io/",
      "archived": true,
      "archived_on": "2026-10-11"
    },
    {
      "id": "deepseek",
      "name": "DeepSeek",
      "website": "https://github.com/deepseek-ai",
      "archived": true,
      "archived_on": "2026-10-11"
    },
    {
      "id": "lm-studio",
      "name": "LM Studio",
      "website": "https://lmstudio.ai",
      "archived": true,
      "archived_on": "2026-10-11"
    },
    {
      "id": "meta",
      "name": "Meta",
      "website": "https://ai.meta.com/",
      "archived": true,
      "archived_on": "2026-10-11"
    },
    {
      "id": "mistral",
      "name": "Mistral",
      "website": "https://mistral.ai/",
      "archived": true,
      "archived_on": "2026-10-11"
    },
    {
      "id": "ollama",
      "name": "Ollama",
      "website": "https://ollama.com",
      "archived": true,
      "archived_on": "2026-10-11"
    },
    {
      "id": "oobabooga",
      "name": "oobabooga",
      "website": "https://github.com/oobabooga/text-generation-webui",
      "archived": true,
      "archived_on": "2026-10-11"
    }
  ]
}