DeepReinforce
Ornith 1.0 31B
Tool callingReasoningImage input
Open coding-reasoning model for repository tasks and self-improving agents
- Context
- 262K
- Released
- 3mo ago
- Parameters
- 31B
Sources:models.dev
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- DeepReinforce
- Model family
- —
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- June 25, 2026
- Model ID
deepreinforce/ornith-1.0-31b- Openness
- Open weights
- License
- MIT
- Parameters
- 31B
- Input modalities
- text, image
- Output modalities
- text
- Modality
- text+image->text
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- deepreinforce/ornith-1.0-31b
- Source family
- ornith
- Last updated
- 2026-06-25
- Model context
- 262K
- Open weights
- Yes
- File attachments
- Yes
- Reasoning
- Yes
- Tool calling
- Yes
- Temperature control
- Yes
Official references
Complete source record (JSON)
{
"id": "deepreinforce/ornith-1.0-31b",
"name": "Ornith 1.0 31B",
"description": "Open coding-reasoning model for repository tasks and self-improving agents",
"family": "ornith",
"last_updated": "2026-06-25",
"attachment": true,
"reasoning": true,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text",
"image"
],
"output": [
"text"
]
},
"limit": {
"context": 262144
},
"release_date": "2026-06-25",
"open_weights": true,
"license": "MIT",
"links": [
{
"url": "https://deep-reinforce.com/ornith_1_0.html",
"label": "Announcement",
"type": "announcement"
}
]
}Infrastructure
Provider availability
Provider endpoint data will appear after this model's first OpenRouter endpoint sync.
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.