Deep Reinforce Ornith 9B
Deep Reinforce's 9B self-improving agentic-coding model (MIT) with 256K context and native tool use.
Deep Reinforce's Ornith 9B is an open-weight text model. It takes a text prompt and replies with generated text. Its context window handles up to 262K input tokens. It runs entirely on your own hardware through Ollama: no API key and no per-use fees.
- Released
- Jun 2026
- Pricing
- Free, runs on your hardware
- Context window
- 262K in
Samples
Generated with Ornith 9B via Ollama. The same three prompts run against every text model in the catalog, shown verbatim, so the only thing that changes between two models’ answers is the model.
Explain what an API is to someone who has never written code. Do not use a restaurant or waiter analogy. Plain prose only — no headings, bullet points, or markdown formatting. Maximum 50 words.
An API is a set of rules that lets one piece of software ask another for information or actions. For example, your phone app uses an API to pull weather updates from a remote server without needing to know how that server works internally.
A two-person startup is deciding whether to build their own user authentication or use a hosted provider. Give them a clear recommendation, then the single strongest argument against your own recommendation. Plain prose only — no headings, bullet points, or markdown formatting. Maximum 150 words.
Go with a hosted provider. For a two-person team, the time saved by not building, securing, and operating authentication from scratch translates directly into revenue-generating work. You get enterprise-grade security, compliance, and continuous updates without hiring a security specialist. The single strongest argument against this is vendor lock-in. When your entire user base, login flows, and identity model are built on someone else's platform, migrating away becomes a capital-intensive, risky undertaking. If the provider raises prices, changes terms, or suffers an outage, you're trapped with no easy escape hatch. That dependency concentrates risk in a way that can threaten the company's long-term viability.
Deep Reinforce
Deep Reinforce builds the Ornith family — self-improving open-weight (MIT) models for agentic coding, tuned with reinforcement learning on coding and terminal benchmarks.
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