# Fara1.5-27B vs Fara1.5-9B

> Fara1.5-27B and Fara1.5-9B score within a point of each other for browser automation, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-10

Fara1.5-27B and Fara1.5-9B score within a point of each other on agent readiness, 61 (C) and 61 (C). Fara1.5-9B leads on reach. Both do browser automation.

- Fara1.5-27B: grade C, 61/100, rank #62 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/fara1-5-27b.md · JSON https://www.anchorterminal.com/api/v1/tools/fara1-5-27b.json
- 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
- Best desktop and mobile app automation for AI agents: https://www.anchorterminal.com/best/desktop-automation/index.md
- All 55 desktop comparisons: https://www.anchorterminal.com/compare/desktop-automation/index.md

## Which one, for what

### Fara1.5-27B (C)

Good for: Developers building a supervised web-browsing agent who want open weights and clear safety behaviour

Ahead on:
- Documentation and upkeep, 65 against 60

Watch for: Screenshots only, so a page can mislead or instruct it

### Fara1.5-9B (C)

Good for: Developers building a supervised web-browsing agent who want open weights and clear safety behaviour

Ahead on:
- Reach, 70 against 55

Watch for: Screenshots only, so a page can mislead or instruct it


## Why the edge

### Reach: Fara1.5-9B +15

- Fara1.5-27B (55): Memory 10, the only build from Microsoft is the BF16 safetensors, 54.71 GB, and 54.71 GB × 1.2 = 65.7 GB, which fits the reference machine but not 64 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, and Featherless is live for it on Hugging Face. 10 + 15 + 0 + 15 + 10 + 5 = 55.
- 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.

### Documentation and upkeep: Fara1.5-27B +5

- Fara1.5-27B (65): Model card 20, Intended use, out-of-scope use and known limitations, the architecture, the parameters, the context, the language (English only) and the data cut-off (20 March 2026) are all on the card. Training data 15, A data section that names the kinds of source and the mix, the scale, the cut-off (last acquisition 20 March 2026) and the filtering (a verifier keeps only successful trajectories). Last change 10, the last commit, on 27 July 2026, is 106 days before this check and within 180. Responsiveness 5, Of the 5 discussions that aren't pull requests (22 to 29 July 2026), 1 has a reply from a microsoft member, which is a few, counted on 10 November by author flags and dates with a script, text not read. Version policy 5, the card says future updates will ship as separately versioned models with their own cards, and the earlier Fara model stays in its own repository. File health 10, Config, template and card agree on the architecture and the 262,144-token context. 20 + 15 + 10 + 5 + 5 + 10 = 65.
- Fara1.5-9B (60): Model card 20, Intended use, out-of-scope use and known limitations, the architecture, the parameters, the context, the language (English only) and the data cut-off (20 March 2026) are all on the card. Training data 15, A data section that names the kinds of source and the mix, the scale, the cut-off (last acquisition 20 March 2026) and the filtering (a verifier keeps only successful trajectories). Last change 10, the last commit, on 27 July 2026, is 106 days before this check and within 180. Responsiveness 0, Neither of the 2 discussions that aren't pull requests (25 July and 10 August 2026) has a reply from a microsoft member, counted on 10 November by author flags and dates with a script, text not read. Version policy 5, the card says future updates will ship as separately versioned models with their own cards, and the earlier Fara model stays in its own repository. File health 10, Config, template and card agree on the architecture and the 262,144-token context. 20 + 15 + 10 + 0 + 5 + 10 = 60.

## Score by category

| Category | Weight | Fara1.5-27B | Fara1.5-9B | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35%, pending | pending | pending | not scored in this run |
| Reach | 25% (25 this run) | 55 | 70 | Fara1.5-9B +15 |
| Risk | 20% (20 this run) | 75 | 75 | even |
| Agent interface | 10% (10 this run) | 80 | 80 | even |
| Documentation and upkeep | 10% (10 this run) | 65 | 60 | Fara1.5-27B +5 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **61 · C** | **61 · C** | |

## Facts side by side

| Fact | Fara1.5-27B | Fara1.5-9B |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | Microsoft | Microsoft |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-07-27 | 2026-07-27 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |

## Verdicts

**Fara1.5-27B.** 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.

## Before you call either

### Fara1.5-27B

1. 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
2. Send the card's system prompt word for word. The model was trained against it
3. Match a 1440×900 screen for reliable clicks
4. 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
5. Treat page text as untrusted. The model can be redirected by instructions on a page
6. It emits one action per turn at temperature 0, and ends with `terminate`

### Fara1.5-9B

1. 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
2. Send the card's system prompt word for word. The model was trained against it
3. Match a 1440×900 screen for reliable clicks
4. 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
5. Treat page text as untrusted. The model can be redirected by instructions on a page
6. It emits one action per turn at temperature 0, and ends with `terminate`

## Questions

### Which is better for AI agents, Fara1.5-27B or Fara1.5-9B?

Fara1.5-27B and Fara1.5-9B score within a point of each other on agent readiness, 61 (C) and 61 (C). Fara1.5-9B leads on reach.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/fara1-5-27b-vs-fara1-5-9b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/fara1-5-27b-vs-fara1-5-9b.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "fara1-5-27b", "b": "fara1-5-9b"}`. From a terminal: `anchor compare fara1-5-27b fara1-5-9b`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/fara1-5-27b.json and https://www.anchorterminal.com/api/v1/tools/fara1-5-9b.json

## Other comparisons with Fara1.5-27B or Fara1.5-9B

- [Fara1.5-27B vs Fara1.5-4B](https://www.anchorterminal.com/compare/fara1-5-27b-vs-fara1-5-4b.md)
- [Fara1.5-4B vs Fara1.5-9B](https://www.anchorterminal.com/compare/fara1-5-4b-vs-fara1-5-9b.md)
- [Fara1.5-27B vs Mage-VL-Cowork](https://www.anchorterminal.com/compare/fara1-5-27b-vs-mage-vl-cowork.md)
- [Fara1.5-9B vs Mage-VL-Cowork](https://www.anchorterminal.com/compare/fara1-5-9b-vs-mage-vl-cowork.md)

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