Ornith 1.5 35B-A3B
Ornith 1.5 35B-A3B has been the mid-tier model in DeepReinforce’s open Ornith family since August 19, 2026. The MoE activates only around 3B of 35B parameters per token, yet according to the manufacturer it significantly outperforms the similarly sized Qwen 3.6-35B on all coding and agentic benchmarks. Trained with a closed self-improvement loop that jointly optimizes its own tasks, scaffolds, and solutions. License: MIT, fully open and commercially usable.
- Open Weights
- Workstation
- vLLM
- Text
- Vision
- Batch
Sovereign Risk: LOW DeepReinforce is a US-based research team. The model is released under the permissive MIT license with fully open weights, enabling independent auditing and fully local operation without cloud dependency. Local deployment involves no additional data transmission to the developer.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 75.65
- Routine
- 45.86
- Reasoning
- 29.79
- LLM Judge Avg
- 3.79 / 5
- 100 Coverage
- Avg Task Duration
- 53.43s
- Batch
- Token Rate
- 54.22tok/s
- Output Rate
- P95 Latency
- 154s
- Top 5 %
- Total Tokens
- 175000
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 175000 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.