Reasoning and coding
Use it for complex reasoning, repository-level software engineering, code generation, review, and debugging.
Built for coding and sustained agentic work
Omen Alpha is built for coding, complex reasoning, and agentic production use with a 1M-token context window.
Agentic workflows
Evaluate sustained agentic work with representative tasks, clear stopping conditions, and application-level validation.
Visual context
Omen Alpha supports text and image input on the enabled integration, with video behaviour closely matching. Confirm current capabilities in the TokenRa console.
Where Omen Alpha fits
Omen Alpha is intended for workloads where reasoning depth, sustained execution, and production-oriented evaluation matter.
- Long-horizon software engineering and coding tasks.
- Complex reasoning that benefits from structured evaluation.
- Agentic workflows that combine planning, tools, and application checks.
- Production workloads requiring representative quality, latency, error, and usage testing.
How to get an Omen Alpha API key
Register for TokenRa, open the dashboard, create an API key, confirm that Omen Alpha is enabled for your account, and then send an OpenAI-compatible request from your server. Keep the key private and verify the live model identifier before production use.
Create a TokenRa account
Register, then open the TokenRa dashboard.
Create your API key
Open the API key or token section, create a key, and store it server-side.
Send a test request
Confirm the enabled model ID, test a representative workload, and add production controls.
curl https://tokenra.io/zen/go/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"omen-alpha","messages":[{"role":"user","content":"Explain the Omen Alpha architecture"}]}'Omen Alpha pricing: transparent usage-based rates
Omen Alpha is a paid model on TokenRa. No credit card is required to get started. Access is subject to account eligibility, provider availability, and applicable rate limits; verify the live TokenRa console before production use.
$0.13 / 1M tokens
Standard input pricing for Omen Alpha.
$0.5 / 1M tokens
Generated output pricing for Omen Alpha.
$0.03 / 1M tokens
Cached input read pricing through TokenRa.
Provider not officially disclosed
Omen Alpha's developer has not been officially disclosed; speculation points to a Zhipu AI model (glm-5.3-highspeed), but this is unconfirmed. TokenRa provides the API gateway and is not the model developer or owner.
Omen Alpha vs GLM-5.3-Flash
Omen Alpha and GLM-5.3-Flash are separate models. The table below compares what is publicly documented for each; items that are not officially confirmed are marked as such.
| Detail | GLM-5.3-Flash | Omen Alpha |
|---|---|---|
| Developer | Zhipu AI (Z.ai), publicly confirmed | Not disclosed. OpenCode data paths point to Zhipu and the model sometimes identifies itself as GLM; some users report it has been confirmed not to be Zhipu. |
| Parameters | 320B total / 18B active (MoE) | Not disclosed |
| Architecture | Native multimodal MoE with hybrid sparse and linear attention | Closely matched (tokenizer and vision/video behaviour are nearly identical) |
| Context length | 1M tokens | Not officially disclosed; commonly cited as 500K, measured at 969K or more (close to 1M) |
| Max output | About 128K tokens | Community reports about 128K |
| Input modalities | Text, image, and video | Text and image (video behaviour matches) |
| Reasoning | Supported (effort: low / high / max) | Reasoning supported |
| Open source | Yes (MIT licence, downloadable on Hugging Face) | No (API only) |
| Availability | Broad (Z.ai, Together, self-hosting) | Available through TokenRa |
See the GLM-5.3-Flash model guide for the confirmed specification.
Data handling stated for this preview
Prompts and completions are retained by the provider and are not used for training. Review the applicable provider and TokenRa terms before sending sensitive or regulated information.
Production checklist
- Keep API keys on the server and separate credentials by environment.
- Confirm the 1M-token context and supported input modalities against the live integration before relying on them.
- Evaluate representative coding, agentic, reasoning, and visual-context workloads.
- Set explicit timeouts, bounded retries, tracing, and application-side budgets.
- Review data handling, provider terms, privacy requirements, and output rights for your use case.
Omen Alpha API FAQ
What is the Omen Alpha API?
The Omen Alpha API provides OpenAI-compatible access to Omen Alpha, a reasoning model for coding, sustained agentic work, complex reasoning, and production workloads.
How do I get an Omen Alpha API key?
Register for TokenRa, open the dashboard, create an API key, confirm that Omen Alpha is enabled, and use the key in a server-side integration.
How much does Omen Alpha API cost?
Omen Alpha costs $0.13 per 1M input tokens, $0.5 per 1M output tokens, and $0.03 per 1M cached read tokens through TokenRa. Check the console for current rates and limits.
Who develops Omen Alpha?
Omen Alpha's developer has not been officially disclosed; speculation points to a Zhipu AI model (glm-5.3-highspeed), but this is unconfirmed. TokenRa provides the API gateway and is not the model developer or owner.
What input does Omen Alpha support?
Omen Alpha supports text and image input on the enabled integration, with video behaviour closely matching. Confirm current capabilities in the TokenRa console.
Are prompts and completions used for training?
They are retained by the provider and are not used for training.
Omen Alpha's developer has not been officially disclosed. Names mentioned belong to their respective rights holders. TokenRa is an independent API gateway and is not the model developer or owner.