Ornith 1.5 9B
Ornith 1.5 9B is an FP8 dense open-weight model built for agentic coding, tool use, visual understanding, and efficient long-context work. This variant disables thinking for faster direct responses.
Model facts
- Context window
- 262K tokens
- Maximum output
- 33K tokens
- Cheapest paid input
- $0.1 per 1M tokens
- Cheapest paid output
- $0.2 per 1M tokens
- Open weights
- yes
- Providers
- 1
Capabilities and modalities
reasoning, tool calling, structured output, attachments, open weights, text, image.
Local hardware estimate
At 4K context: Q4_K_M 6.9 GiB, Q8_0 11.4 GiB, F16 19.8 GiB working memory.
- Parameters
- 9.7 billion
- Architecture
- qwen3_5
- Model license
- mit
Planning estimate adapted from the MIT-licensed whichllm estimator using metadata from Hugging Face; not a vendor minimum requirement.
Observed price history
- 2026-08-24: $0.05 input / $0.1 output per 1M tokens
- 2026-08-30: $0.1 input / $0.2 output per 1M tokens
API providers
- NanoGPT — model id ornith-ai/ornith-1.5-9b; $0.1 input / $0.2 output per 1M tokens; provider documentation