{
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    "answer": "Fara1.5-4B and Fara1.5-9B score within a point of each other on agent readiness, 61 (C) and 61 (C).",
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      "summary": "Fara1.5-9B is Microsoft's open-weight computer use model for web browsers, 9B parameters fine-tuned from Qwen3.5-9B. It reads screenshots and returns one click, keystroke or navigation at a time, pausing before irreversible steps. MIT, English only.",
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        "weaknesses": [
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          "One build, in BF16, and no GGUF from Microsoft",
          "The card says not to use it in production without more testing and safeguards",
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          "Run it inside Microsoft's harness (the fara CLI or MagenticLite), in a sandboxed browser with an allow-list. The card says not to give it open access on a machine with anything sensitive",
          "Send the card's system prompt word for word. The model was trained against it",
          "Match a 1440×900 screen for reliable clicks",
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        "provenanceScore": 67,
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        "goodFor": "Driving a web browser from screenshots inside a sandbox: forms, bookings, shopping and look-ups, with a person approving the irreversible steps. Fits a 24 GB GPU in BF16.",
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            "runsOn": [
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            "note": "From bartowski, a third party's conversion and not Microsoft's. 5.91 GB of Q4_K_M weights plus the 0.92 GB F16 projector, from the Hub's model information on 10 November 2026. Reach doesn't count it"
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            "name": "bartowski Fara1.5-9B-GGUF (Q8_0)",
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            "note": "From bartowski, a third party's conversion and not Microsoft's. 9.55 GB of Q8_0 weights plus the 0.92 GB F16 projector, from the Hub's model information on 10 November 2026. Reach doesn't count it"
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          "a": "Memory 30, the only build from Microsoft is the BF16 safetensors, 9.08 GB, and 9.08 GB × 1.2 = 10.9 GB, within 16 GB. bartowski's GGUF isn't read for this line. Runtimes 15, the architecture is Qwen3_5ForConditionalGeneration, which vLLM 0.33.0, SGLang 0.5.23 and Transformers 5.22.2 run from the safetensors files, three at 5 each. Builds 0, Microsoft publishes the BF16 weights only. Terms 15, MIT in the card's metadata and its licence section, an OSI licence with nothing added. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 5, the card links an Azure Foundry page for this model, Microsoft's own platform. 30 + 15 + 0 + 15 + 10 + 5 = 75.",
          "b": "Memory 25, the only build from Microsoft is the BF16 safetensors, 18.82 GB, and 18.82 GB × 1.2 = 22.6 GB, within 24 GB. bartowski's GGUF isn't read for this line. Runtimes 15, the architecture is Qwen3_5ForConditionalGeneration, which vLLM 0.33.0, SGLang 0.5.23 and Transformers 5.22.2 run from the safetensors files, three at 5 each. Builds 0, Microsoft publishes the BF16 weights only. Terms 15, MIT in the card's metadata and its licence section, an OSI licence with nothing added. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 5, the card links an Azure Foundry page for this model, Microsoft's own platform. 25 + 15 + 0 + 15 + 10 + 5 = 70."
        },
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          "a": 75,
          "b": 70
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        "also": null,
        "goodFor": "Developers building a supervised web-browsing agent who want open weights and clear safety behaviour",
        "slug": "fara1-5-9b",
        "watchFor": "Screenshots only, so a page can mislead or instruct it"
      }
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    "job": {
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      "name": "Browser automation"
    },
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        "title": "Fara1.5-4B vs Mage-VL-Cowork",
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      {
        "json": "https://www.anchorterminal.com/compare/fara1-5-9b-vs-mage-vl-cowork.json",
        "title": "Fara1.5-9B vs Mage-VL-Cowork",
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        "name": "Capability",
        "pending": true,
        "weight": 35
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      {
        "by": 5,
        "edge": "fara1-5-4b",
        "fara1-5-4b": 75,
        "fara1-5-9b": 70,
        "key": "reach",
        "name": "Reach",
        "weight": 25
      },
      {
        "by": 0,
        "edge": "",
        "fara1-5-4b": 75,
        "fara1-5-9b": 75,
        "key": "risk",
        "name": "Risk",
        "weight": 20
      },
      {
        "by": 0,
        "edge": "",
        "fara1-5-4b": 80,
        "fara1-5-9b": 80,
        "key": "interface",
        "name": "Agent interface",
        "weight": 10
      },
      {
        "by": 0,
        "edge": "",
        "fara1-5-4b": 60,
        "fara1-5-9b": 60,
        "key": "upkeep",
        "name": "Documentation and upkeep",
        "weight": 10
      }
    ],
    "summary": "Fara1.5-4B and Fara1.5-9B score within a point of each other on agent readiness, 61 (C) and 61 (C). Both do browser automation.",
    "tasks": null,
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      "fara1-5-4b": "A browser agent model with unusually careful documentation: what it does, what it's trained to stop at, what it gets wrong and how to box it in, under MIT. Treat it as a component for Microsoft's harness, in a sandbox, with a person on the irreversible steps. Safety testing is described but not published, and it's English only.",
      "fara1-5-9b": "A browser agent model with unusually careful documentation: what it does, what it's trained to stop at, what it gets wrong and how to box it in, under MIT. Treat it as a component for Microsoft's harness, in a sandbox, with a person on the irreversible steps. Safety testing is described but not published, and it's English only."
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  "markdown": "Fara1.5-4B and Fara1.5-9B score within a point of each other on agent readiness, 61 (C) and 61 (C). Both do browser automation.\n\n- Fara1.5-4B: grade C, 61/100, rank #63 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/fara1-5-4b.md · JSON https://www.anchorterminal.com/api/v1/tools/fara1-5-4b.json\n- Fara1.5-9B: grade C, 61/100, rank #64 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/fara1-5-9b.md · JSON https://www.anchorterminal.com/api/v1/tools/fara1-5-9b.json\n- Best desktop and mobile app automation for AI agents: https://www.anchorterminal.com/best/desktop-automation/index.md\n- All 55 desktop comparisons: https://www.anchorterminal.com/compare/desktop-automation/index.md\n\n## Which one, for what\n\n### Fara1.5-4B (C)\n\nGood for: Developers building a supervised web-browsing agent who want open weights and clear safety behaviour\n\nAhead on:\n- Reach, 75 against 70\n\nWatch for: Screenshots only, so a page can mislead or instruct it\n\n### Fara1.5-9B (C)\n\nGood for: Developers building a supervised web-browsing agent who want open weights and clear safety behaviour\n\nWatch for: Screenshots only, so a page can mislead or instruct it\n\n\n## Why the edge\n\n### Reach: Fara1.5-4B +5\n\n- Fara1.5-4B (75): Memory 30, the only build from Microsoft is the BF16 safetensors, 9.08 GB, and 9.08 GB × 1.2 = 10.9 GB, within 16 GB. bartowski's GGUF isn't read for this line. Runtimes 15, the architecture is Qwen3_5ForConditionalGeneration, which vLLM 0.33.0, SGLang 0.5.23 and Transformers 5.22.2 run from the safetensors files, three at 5 each. Builds 0, Microsoft publishes the BF16 weights only. Terms 15, MIT in the card's metadata and its licence section, an OSI licence with nothing added. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 5, the card links an Azure Foundry page for this model, Microsoft's own platform. 30 + 15 + 0 + 15 + 10 + 5 = 75.\n- Fara1.5-9B (70): Memory 25, the only build from Microsoft is the BF16 safetensors, 18.82 GB, and 18.82 GB × 1.2 = 22.6 GB, within 24 GB. bartowski's GGUF isn't read for this line. Runtimes 15, the architecture is Qwen3_5ForConditionalGeneration, which vLLM 0.33.0, SGLang 0.5.23 and Transformers 5.22.2 run from the safetensors files, three at 5 each. Builds 0, Microsoft publishes the BF16 weights only. Terms 15, MIT in the card's metadata and its licence section, an OSI licence with nothing added. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 5, the card links an Azure Foundry page for this model, Microsoft's own platform. 25 + 15 + 0 + 15 + 10 + 5 = 70.\n\n## Score by category\n\n| Category | Weight | Fara1.5-4B | Fara1.5-9B | Edge |\n| --- | --- | --- | --- | --- |\n| Capability | 35%, pending | pending | pending | not scored in this run |\n| Reach | 25% (25 this run) | 75 | 70 | Fara1.5-4B +5 |\n| Risk | 20% (20 this run) | 75 | 75 | even |\n| Agent interface | 10% (10 this run) | 80 | 80 | even |\n| Documentation and upkeep | 10% (10 this run) | 60 | 60 | even |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **61 · C** | **61 · C** | |\n\n## Facts side by side\n\n| Fact | Fara1.5-4B | Fara1.5-9B |\n| --- | --- | --- |\n| Kind | Open-weight model | Open-weight model |\n| Vendor | Microsoft | Microsoft |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports |  |  |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT | MIT |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-07-27 | 2026-07-27 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n\n## Verdicts\n\n**Fara1.5-4B.** A browser agent model with unusually careful documentation: what it does, what it's trained to stop at, what it gets wrong and how to box it in, under MIT. Treat it as a component for Microsoft's harness, in a sandbox, with a person on the irreversible steps. Safety testing is described but not published, and it's English only.\n\n**Fara1.5-9B.** A browser agent model with unusually careful documentation: what it does, what it's trained to stop at, what it gets wrong and how to box it in, under MIT. Treat it as a component for Microsoft's harness, in a sandbox, with a person on the irreversible steps. Safety testing is described but not published, and it's English only.\n\n## Before you call either\n\n### Fara1.5-4B\n\n1. Run it inside Microsoft's harness (the fara CLI or MagenticLite), in a sandboxed browser with an allow-list. The card says not to give it open access on a machine with anything sensitive\n2. Send the card's system prompt word for word. The model was trained against it\n3. Match a 1440×900 screen for reliable clicks\n4. Expect it to stop and ask before purchases, sign-ins, messages or personal data unless the user authorised them up front. Pass the question to the user; don't answer for them\n5. Treat page text as untrusted. The model can be redirected by instructions on a page\n6. It emits one action per turn at temperature 0, and ends with `terminate`\n\n### Fara1.5-9B\n\n1. Run it inside Microsoft's harness (the fara CLI or MagenticLite), in a sandboxed browser with an allow-list. The card says not to give it open access on a machine with anything sensitive\n2. Send the card's system prompt word for word. The model was trained against it\n3. Match a 1440×900 screen for reliable clicks\n4. Expect it to stop and ask before purchases, sign-ins, messages or personal data unless the user authorised them up front. Pass the question to the user; don't answer for them\n5. Treat page text as untrusted. The model can be redirected by instructions on a page\n6. It emits one action per turn at temperature 0, and ends with `terminate`\n\n## Questions\n\n### Which is better for AI agents, Fara1.5-4B or Fara1.5-9B?\n\nFara1.5-4B and Fara1.5-9B score within a point of each other on agent readiness, 61 (C) and 61 (C).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/fara1-5-4b-vs-fara1-5-9b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fara1-5-4b-vs-fara1-5-9b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"fara1-5-4b\", \"b\": \"fara1-5-9b\"}`. From a terminal: `anchor compare fara1-5-4b fara1-5-9b`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fara1-5-4b.json and https://www.anchorterminal.com/api/v1/tools/fara1-5-9b.json\n\n## Other comparisons with Fara1.5-4B or Fara1.5-9B\n\n- [Fara1.5-27B vs Fara1.5-4B](https://www.anchorterminal.com/compare/fara1-5-27b-vs-fara1-5-4b.md)\n- [Fara1.5-27B vs Fara1.5-9B](https://www.anchorterminal.com/compare/fara1-5-27b-vs-fara1-5-9b.md)\n- [Fara1.5-4B vs Mage-VL-Cowork](https://www.anchorterminal.com/compare/fara1-5-4b-vs-mage-vl-cowork.md)\n- [Fara1.5-9B vs Mage-VL-Cowork](https://www.anchorterminal.com/compare/fara1-5-9b-vs-mage-vl-cowork.md)\n",
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