Data as of November 13, 2026 · How the score is built
Fara1.5-27B
Decision readingFara1.5-27B is tracked, but not publicly ranked yet. The profile exposes 1 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Email me when its price, rank or availability changes.
Capability
Unranked
field median 49.4Not eligible for a public rank
Price
Self-hosted; infrastructure cost varies
input median $0.60No comparable first-party hosted token rate
Speed
Not measured
field median 92 tok/sTime to first token not measured
Context
262Ktokens
field median 256,000Maximum output length is tracked separately
Decision snapshot
How much published evidence this model has, where that evidence is strongest, and what to validate before choosing it. It has no public rank, so no field position is shown.
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
1 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 1 displayable benchmark row
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%1 benchmarkVerified | Score pending | 1 benchmark | Verified | |||
| CodingWeight 20%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
1 of 919 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- Agentic1/1 verified
- CodingNot measured
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Benchmark ledger
Every result says who ran the test. For this model, Microsoft ran all 3. Agentic opens by default. The tick marks the best source-verified result in the catalog; provisional leaders do not set the reference.
Agentic1 row
| Benchmark | Score | Versus best verified row | Gap | Who ran it | Use in ranking |
|---|---|---|---|---|---|
| WebVoyager | 89.3% | Best verified: Fara1.5-27B · 89.3% | GapHighest listed | Reported by Microsoft | Shown only |
Other lab-reported results2 rowsAnother metric, split or setting, or a test without a page
| Benchmark | Score | On a 0–100 scale | Who ran it | Use in ranking |
|---|---|---|---|---|
| Online-Mind2WebScore · Microsoft’s own web-agent harness | 72.3% | Reported by Microsoft | Shown only | |
| WebTailBenchOutcome success · Microsoft’s own web-agent harness | 40.2% | Reported by Microsoft | Shown only |
Outlined bars are lab-reported. Filled bars are benchmark-run or independent. Bars run 0–100; the dark tick marks the best source-verified value.
Lineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
27b
Fara1.5-4BSpec sheet
Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.
- API model ID
- microsoft/Fara1.5-27BMicrosoft Fara1.5-27B model card
- Context window
- 262KMicrosoft Fara1.5-27B model card
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not sourced yet
- Availability
- Microsoft Research AI Frontiers publishes Fara1.5-27B under MIT on Hugging Face (weights pushed July 17, 2026; the card lists a May 21, 2026 release date). It is a screenshot-driven browser computer-use agent fine-tuned from Qwen3.5-27B with a 262,144-token context, meant to be run inside the Fara CLI or Magentic-Lite harness and also listed in Azure Foundry.
- Cloud regions
- Not tracked yet
- Lifecycle
- Current
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing recordMicrosoft Fara1.5-27B model card
- Self-host
- Fara1.5-27B needs ~24GB VRAM (1× NVIDIA RTX 4090 (24GB)).
- Rate limits
- Not tracked yet
How to read this profile
The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.
We track Fara1.5-27B, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Fara1.5-27B is a open weight model with a 262K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
Microsoft Research AI Frontiers publishes Fara1.5-27B under MIT on Hugging Face (weights pushed July 17, 2026; the card lists a May 21, 2026 release date). It is a screenshot-driven browser computer-use agent fine-tuned from Qwen3.5-27B with a 262,144-token context, meant to be run inside the Fara CLI or Magentic-Lite harness and also listed in Azure Foundry.
Official exact-value snapshot from the Fara1.5-27B Hugging Face model card. BenchLM maps WebVoyager (89.3) onto its existing lane; Online-Mind2Web and WebTailBench have no exact compatible lane, so Microsoft's results for them are listed in the benchmark ledger. Web-agent rows from a single provider-run harness keep the model unranked.
Fara1.5-27B sits in the Fara 1.5 family with Fara1.5-4B. 1 of 919 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Last updated November 13, 2026. Runtime fields remain blank until a sourced snapshot exists.
Deployment options
Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Questions
How does Fara1.5-27B perform overall in AI benchmarks?
Fara1.5-27B has 1 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is Fara1.5-27B good for agentic tool use and computer tasks?
Fara1.5-27B has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Fara1.5-27B open source?
Fara1.5-27B is an open-weight model from Microsoft. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.
Which sibling models are related to Fara1.5-27B?
Fara1.5-27B belongs to the Fara 1.5 family. Related tracked variants include Fara1.5-4B. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Fara1.5-27B have full benchmark coverage on BenchLM?
No. Fara1.5-27B currently has 1 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.
What is the context window size of Fara1.5-27B?
Fara1.5-27B has a documented context window of 262K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.