Available Models

All models are available via api.nomyo.ai. Pass the model ID string directly to the model parameter of create().

Model List

Model ID	Parameters	Type	ctx	Notes
`Qwen/Qwen3-0.6B`	0.6B	General	40k	Lightweight, fast inference
`Qwen/Qwen3.5-0.8B`	0.8B	General	40k	Lightweight, fast inference
`LiquidAI/LFM2.5-1.2B-Thinking`	1.2B	Thinking	4k	Reasoning model
`ibm-granite/granite-4.0-h-small`	32B	General	131k	IBM Granite 4.0, enterprise-focused
`Qwen/Qwen3.5-9B`	9B	General	200k	Balanced quality and speed
`utter-project/EuroLLM-9B-Instruct-2512`	9B	General	32k	Multilingual, strong European language support
`zai-org/GLM-4.7-Flash`	30B (3B active)	General	131k	Fast GLM variant
`mistralai/Ministral-3-14B-Instruct-2512-GGUF`	14B	General	32k	Mistral instruction-tuned
`ServiceNow-AI/Apriel-1.6-15b-Thinker`	15B	Specialized	32k	Reasoning model strong in math/physics/science
`openai/gpt-oss-20b`	20B	General	131k	OpenAI open-weight release
`LiquidAI/LFM2-24B-A2B`	24B (2B active)	General	128k	MoE — efficient inference
`Qwen/Qwen3.5-27B`	27B	General	200k	High quality, large context
`google/medgemma-27b-it`	27B	Specialized	131k	Medical domain, instruction-tuned
`nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-NVFP4`	30B (3B active)	General	200k	MoE — efficient inference
`Qwen/Qwen3.5-35B-A3B`	35B (3B active)	General	200k	MoE — efficient inference
`moonshotai/Kimi-Linear-48B-A3B-Instruct`	48B (3B active)	General	1m	MoE — large capacity, efficient inference

MoE (Mixture of Experts) models show total/active parameter counts.

Usage Example

from nomyo import SecureChatCompletion

client = SecureChatCompletion(api_key="your-api-key")

response = await client.create(
    model="Qwen/Qwen3.5-9B",
    messages=[{"role": "user", "content": "Hello!"}]
)

Choosing a Model

Low latency / edge use: Qwen/Qwen3-0.6B, Qwen/Qwen3.5-0.8B, LiquidAI/LFM2.5-1.2B-Thinking
Balanced quality and speed: Qwen/Qwen3.5-9B, mistralai/Ministral-3-14B-Instruct-2512-GGUF
Reasoning / chain-of-thought: LiquidAI/LFM2.5-1.2B-Thinking, ServiceNow-AI/Apriel-1.6-15b-Thinker
Multilingual: utter-project/EuroLLM-9B-Instruct-2512
Medical: google/medgemma-27b-it
Highest quality: moonshotai/Kimi-Linear-48B-A3B-Instruct, Qwen/Qwen3.5-35B-A3B