DeepReinforce, released Jun 25, 2026

Ornith 1.0 9Bprice, context, benchmarks and release details

Provisional: not enough results to rank yet Open weights 100% confidence, 1 of 1 expected sources in

50.4

SI Score

Not ranked yet

Input, per 1M tokens: not yet reported
Output, per 1M tokens: not yet reported
Context window: 262K
Max output: not yet reported
Released: Jun 25, 2026

How the score breaks down

Coding 51.4

Math —

Preference —

Reasoning —

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 06:15 UTC.

Around it on the leaderboard

Full leaderboard

Benchmark results

3 benchmarks, 4 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

SWE-bench Procoding 42.9% 42.9

SWE-bench Verifiedcoding 69.4% 69.4

Terminal-Benchcoding 43.1% 43.1 2 settings

About Terminal-Bench

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights: Yes
License: MIT
Input modalities: text, image
First seen by SuperIndex: Oct 8, 2026
Coverage: 100% of expected source weight

Reported (1)

Official model cards via models.devOct 8, 2026

Awaiting (0)

Every expected source has reported for this model.

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.