SI Index Data as of Oct 9, 2026

Ornith 1.0 397B: Price, Context, Benchmarks, and Release Details

deepreinforce provisional listing open weights · first seen Oct 8, 2026 · score computed Oct 9, 2026, 01:09 UTC
56.3
SI Score (method si-v3-retained-evidence-2)
100% confidence 100 percent, Full confidence — 1 of 1 expected sources in
Coverage 100% of expected source weight · 100% confidence at 80% coverage

Pillar breakdown

Coding (weight 40 percent) 74.2
Math (weight 15 percent) —
Preference (weight 15 percent) —
Reasoning (weight 30 percent) —

Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.

Facts

Input price / 1M
not yet reported
Output price / 1M
not yet reported
Context window
262Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Max output
not yet reported
Released
Jun 25, 2026models.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Open weights
Yesmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
License
MITmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Input modalities
text, imagemodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗

Benchmark results

4 results
Benchmark Raw result Normalized (0–100) Pillar
swe bench pro 62.2%Official model cards via models.devLab-reported; metric percent resolved; transcribed by MIT models.dev catalog; not independently evaluated [variant] Retrieved Oct 9, 2026 · factual citation; MIT transcription
Open source ↗ 		62.2 coding
swe bench verified 82.4%Official model cards via models.devLab-reported; metric percent resolved; transcribed by MIT models.dev catalog; not independently evaluated [variant] Retrieved Oct 9, 2026 · factual citation; MIT transcription
Open source ↗ 		82.4 coding
terminal bench 78.2%Official model cards via models.devLab-reported; metric percent; transcribed by MIT models.dev catalog; not independently evaluated [variant] Claude Code Retrieved Oct 9, 2026 · factual citation; MIT transcription
Open source ↗ 		78.2 coding
terminal bench 77.5%Official model cards via models.devLab-reported; metric percent; transcribed by MIT models.dev catalog; not independently evaluated [variant] Terminus-2 Retrieved Oct 9, 2026 · factual citation; MIT transcription
Open source ↗ 		77.5 coding

Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.

Sources: in and pending

in Reported (1)

  • Official model cards via models.dev · arrived Oct 8, 2026

pending Awaiting (0)

Every expected source has reported for this model.

The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.