DeepReinforceLanguage model
Ornith 1.5 35B A3B
Ornith 1.5 35B A3B has no overall index value yet because there are too few independent benchmark results.
41out of 100-1 vs. last month
based on search, usage and attention
Summary
New in Ornith 1.5 35B A3B is the expanded self-improvement loop described by its model card. Tasks, agent scaffolds, and solution rollouts are jointly generated through reinforcement learning; 35 billion total parameters sit against about 3 billion active. A 262K context, reasoning, tool calling, and OpenAI-compatible serving target terminal coding while A3B limits active compute.
All benchmark results
Every published result with its source, test setup and comparison models.
Show all 28 published benchmark results
Page 1 of 3
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
Terminal-Bench 2.1 (Terminus-2) (Show measurement, test conditions, and source)
- Source value
- 67.8
- Score
- 67.8
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- Terminal-Bench 2.1; Terminus-2; five runs
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card agent evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B score row; Terminal-Bench 2.1 uses Terminus-2, with 128k context and five runs as described by the card.
- Context
- The publisher supplies these scores; omitted task versions/settings and raw units are not inferred.
Terminal-Bench 2.1 (Claude Code) (Show measurement, test conditions, and source)
- Source value
- 68.5
- Score
- 68.5
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- Terminal-Bench 2.1; Claude Code; separate harness row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card agent evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B score row; Terminal-Bench 2.1 uses Terminus-2, with 128k context and five runs as described by the card.
- Context
- The publisher supplies these scores; omitted task versions/settings and raw units are not inferred.
SWE-Bench Verified (Show measurement, test conditions, and source)
- Source value
- 79
- Score
- 79
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- SWE-Bench Verified; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
SWE-Bench Pro (Show measurement, test conditions, and source)
- Source value
- 59.6
- Score
- 59.6
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- SWE-Bench Pro; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
SWE-Bench Multilingual (Show measurement, test conditions, and source)
- Source value
- 71.4
- Score
- 71.4
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- SWE-Bench Multilingual; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
DeepSWE (Show measurement, test conditions, and source)
- Source value
- 22
- Score
- 22
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- DeepSWE; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
Frontier-Bench v0.1 (Show measurement, test conditions, and source)
- Source value
- 5.1
- Score
- 5.1
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- Frontier-Bench v0.1
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
NL2Repo (Show measurement, test conditions, and source)
- Source value
- 46.2
- Score
- 46.2
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- NL2Repo; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
Toolathlon-Verified (Show measurement, test conditions, and source)
- Source value
- 48.7
- Score
- 48.7
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- Toolathlon-Verified; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
ClawEval (Show measurement, test conditions, and source)
- Source value
- 72.5
- Score
- 72.5
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- ClawEval; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
MCP-Atlas (Show measurement, test conditions, and source)
- Source value
- 70.2
- Score
- 70.2
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- MCP-Atlas; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
BrowseComp (Show measurement, test conditions, and source)
- Source value
- 67.6
- Score
- 67.6
- Metric
- score as published
- Unit
- No unit provided
- Benchmark version
- BrowseComp; exact row
- Category
- coding
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Ornith 1.5 35B-A3B model-card evaluation table
- Status
- active
- Retrieved at
- 2026-10-15
- Methodology
- Vendor-reported result. Exact Ornith-1.5-35B-A3B table row; benchmark-specific method is not fully stated for this task.
- Context
- Publisher-reported score; task snapshot and harness details remain unspecified.
Page 1 of 3
Popularity compared
How often the model is searched for, used and mentioned, compared with every model of its category.
Popularity index
The 100 most popular models of this category, 0 to 100, higher is more popular
20 of 101 models
As of November 2026 · Source: gradually.ai popularity index
Over time
Weekly values from October 18, 2026 to November 7, 2026
Ornith 1.5 35B A3BHy-Memory-30B-A3B 42GPT-5.3-Codex 42Ornith 1.0 9B 41Phi-4-multimodal-instruct 41
Method changes in the timeline, a jump at these points is no market event:
- 1November 1, 2026: Value only with search or usage data, 30-day attention
What is gaining popularity right now, across models, vendors, harnesses and AI subscriptions, is collected in All AI trends.
Similar models
More models of the same kind as Ornith 1.5 35B A3B, chosen by model line, developer, size, price and release date.
- Ornith 1.0 35BDeepReinforce · same developer
- Ornith 1.0 31BDeepReinforce · same developer
- Ornith 1.0 9BDeepReinforce · same developer
- Ornith 1.0 397BDeepReinforce · same developer
- MiniCPM-V 4.7 35B-A3BOpenBMB · similar size
- Qwen 3.8 27BAlibaba · similar size
- Sage-A1.5Shanghai Artificial Intelligence Laboratory · similar size
- Nemotron 3.5 LightningNVIDIA · similar size
All specifications
Architecture
Input and output
Watermarking and provenance
AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.
- AI watermarking
- Unknown
- no source
- Watermarking technique
- Not known
- no source
Licence and access
Frequently asked questions about Ornith 1.5 35B A3B
How large is the context window of Ornith 1.5 35B A3B?
262,144 tokens. That is how much text Ornith 1.5 35B A3B reads at once, about 390 A4 pages.
Page count as a rule of thumb from Artificial Analysis
Can I run Ornith 1.5 35B A3B locally?
Yes, the weights are open.
Stated by DeepReinforce
- Open weights
- yes
- License
- MIT
- Parameters
- 35B
- active per token
- 3B
Sources and data date
Show all 13 sources
Benchmark sources at a glance
Which independent evaluators tested this model. This is coverage, not a quality ranking.
No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.
Without vendor claims and historical or disputed results; those stay labelled in the single values.