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ModelCap

Fara1.5 9B

Current board #102Official publisher releaseOpen weights7d #114 → #102

Microsoft·microsoft/Fara1.5-9B

Fara1.5 9B is ModelCap current-board rank #102 with Index 39.9 (Modeled · lineage), from the ModelCap Index as of 9 Sept 2026, 20:46 UTC.

Fara1.5 9B weight access is open weights, from ModelCap classification of published repository metadata as of 9 Sept 2026, 20:46 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
39.9#102
Inherited · 15% support · score interval 22.8–57.1
No admitted evaluation publication timestamp yet
Market Gravity
10.7
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
39.9
Modeled · lineage · finetune of qwen/qwen3.5-9b · finetune (100%)
Current board
#102
Public rank basis
Modeled · lineage (lineage)
Index support
15.2% · limited
Index interval
22.8–57.1
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · microsoft/microsoft/Fara1.5-9B · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata microsoft/Fara1.5-9B@1a93677cd89d5601bc2ed759791e981f3a520032 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
39.9
Verified lineage
qwen/qwen3.5-9b · minus 1.2 ( finetune)
How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate
39.9 ± 13.4
Independent share
0%
Shrink toward corpus
0.0
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Verified lineage · not independent
finetune of qwen/qwen3.5-9b · finetune
39.9 ± 13.4100%
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
Liquidity (providers × uptime)
Open reach (HF downloads)
Surface (context / tools / modalities)
15.0
Freshness
63.3
  • · Catalogue: modalities Text/Image
  • · First seen 2026-05-12

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
Estimator abstained

uncertainty-above-gate

Feature coverage
71%
Training support
187 models · 107 lineages

uncertainty-above-gate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
10.7
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
63.3

Time since first public availability, on a six-month half-life.

Specification

Context window
tokens
Max output
Inputs
Text, Image
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
12 May 2026

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
mit
Pinned revision
1a93677cd89d
Parameters
9.4B
Architecture
Qwen3_5ForConditionalGeneration
Model type
qwen3_5
Hugging Face downloads (30d)
Downloads (all time)
Likes
Repository updated
27 Jul 2026, 15:40 UTC
Base lineage
Qwen/Qwen3.5-9B

Metadata status: stale · HTTP 429.

Compare Fara1.5 9B with

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Ranked neighbours

Models within 3 places of #102 on the ModelCap Index.

Other ranked Microsoft models

The same publisher's other current models with a public Index position.

Fara1.5 9B: common questions

How does Fara1.5 9B rank among AI models?

Fara1.5 9B holds ModelCap Index position #102 of 160 ranked language models as of 9 September 2026, with an Index score of 39.9 (interval 22.8–57.1); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Fara1.5 9B cost per 1M tokens?

No live API price is listed for Fara1.5 9B in the current snapshot as of 9 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Fara1.5 9B open-weight?

Open weights (mit). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is microsoft/Fara1.5-9B on Hugging Face.

Which benchmarks has Fara1.5 9B been evaluated on?

Fara1.5 9B's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 9 September 2026. The evidence panel names each source and its publication date.

How does Fara1.5 9B compare with UI Venus 2 9B?

Fara1.5 9B ranks #102 (Index 39.9) and UI Venus 2 9B ranks #101 (Index 39.9) on the ModelCap Index as of 9 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Fara1.5 9B released?

Fara1.5 9B first appeared in the catalogue on 12 May 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.