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ModelCap

Ornith 1.0 397B

All-versions archive #42Official publisher releaseOpen weights

Ornith Ai·ornith-ai/Ornith-1.0-397B

Ornith 1.0 397B is ModelCap archive rank #42 (Modeled · peer benchmarks), from the ModelCap Index as of 9 Sept 2026, 20:46 UTC.

Ornith 1.0 397B 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 · All-versions archive
73.3#42
Estimated · 29% support · score interval 64.5–82.1
No admitted evaluation publication timestamp yet
Market Gravity
11.2
Secondary market signal

Superseded by Ornith 1.5 397B. It no longer holds a current-board position; its all-versions archive rank is #42.

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.

Reported evaluation leads (6)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.

Dataset / taskMetricValueRevisionProvenance
claw-eval/Claw-Eval
general
77.1
Unpinned
not published
Reported
Not used in launch estimate
harborframework/terminal-bench-2.1
terminalbench_2_1
77.5
Unpinned
not published
Reported
Used in launch estimate
harborframework/terminal-bench-2.1
terminalbench_2_1
78.2
Unpinned
not published
Reported
Used in launch estimate
ScaleAI/SWE-bench_Pro
SWE_Bench_Pro
62.2
Unpinned
not published
Reported
Used in launch estimate
SWE-bench/SWE-bench_Multilingual
swe_bench_multilingual_%_resolved
78.9
Unpinned
not published
Reported
Used in launch estimate
SWE-bench/SWE-bench_Verified
swe_bench_%_resolved
82.4
Unpinned
not published
Reported
Used in launch estimate

Other versions (1)

ModelCap Index · All-versions archive

Methodology
73.3
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
All-versions archive
#42
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
29.0% · limited
Index interval
64.5–82.1
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 · ornith-ai/ornith-ai/Ornith-1.0-397B · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata ornith-ai/Ornith-1.0-397B@5e3e761811e804c295c1d3c0ce68b21da6154209 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
73.3
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
73.3 ± 6.9
Independent share
0%
Shrink toward corpus
-2.1
Peer ceiling share
20%
Optimism haircut
None required · cross lab probe, 7 probes
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
global-corpus-prior over 182 held-out anchors
53.5 ± 22.39%
Launch card against resolved peers · not independent
launch card against 6 resolved peers on 5 rows
75.4 ± 7.291%
  • · Launch card row nl-2-repo: inside the resolved peer range
  • · Launch card row swe-bench-multilingual: claims above every resolved peer
  • · Launch card row swe-bench-pro: inside the resolved peer range
  • · Launch card row swe-bench-verified: inside the resolved peer range
  • · Launch card row terminal-bench-2-1: inside the resolved peer range
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)
0.0
Freshness
74.3
  • · Catalogue surface
  • · First seen 2026-06-23

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
47.9
partial · 52% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, 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
11.2
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%
74.3

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

Specification

Context window
tokens
Max output
Inputs
Text
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
23 Jun 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
5e3e761811e8
Parameters
396.8B
Architecture
Qwen3_5MoeForConditionalGeneration
Model type
qwen3_5_moe
Hugging Face downloads (30d)
Downloads (all time)
Likes
Repository updated
25 Jun 2026, 15:23 UTC

Metadata status: stale · HTTP 429.

Ornith 1.0 397B: common questions

How does Ornith 1.0 397B rank among AI models?

Ornith 1.0 397B is a superseded version and is not on the current board as of 9 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does Ornith 1.0 397B cost per 1M tokens?

No live API price is listed for Ornith 1.0 397B 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 Ornith 1.0 397B 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 ornith-ai/Ornith-1.0-397B on Hugging Face.

When was Ornith 1.0 397B released?

Ornith 1.0 397B first appeared in the catalogue on 23 Jun 2026. It has since been superseded by Ornith 1.5 397B. Rank and price movements since then are recorded on the site's changes feed.