Using DeciCoder 1B on Microsoft Foundry
Implementation guide · DeciCoder · Deci AI
Microsoft Foundry exposes DeciCoder 1B through model ID decicoder-1b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the Microsoft Foundry SDK or REST API to call
decicoder-1b— see the documentation for request format. - 3
Code Examples
Pricing on Microsoft Foundry
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.07 |
| Output tokens | $0.07 |
Capabilities
No model capability flags are currently sourced.
About DeciCoder 1B
DeciCoder 1B is a 1 billion-parameter, open-source large language model focused on code generation 12. It excels at efficient and accurate code completion for Python, Java, and JavaScript using a unique Grouped Query Attention architecture with a 2048-token context window 13. Trained on a substantial dataset with a Fill-in-the-Middle objective, it offers impressive throughput, especially when used with Deci's Infery LLM inference engine 79. Although capable of single or multi-line code completion, it may produce suboptimal results as it's not an instruction-following model.