Model catalog

Trainable models

Call GET /v1/base-models?supports_training=true with your API key for the current trainable models and their capabilities. The endpoint is the source of truth for availability. Without a key it lists only encoders, because decoders appear only for teams that can train them.

Encoders

Train these with a managed config job and an uploaded dataset:

Model	Methods	Training price
GLiNER-2.5-Decide `fastino/GLiNER-2.5-Decide`	`full`, `lora`	$0.13 / GPU-minute $7.90 / GPU-hour
GLiGuard LLM Guardrails `fastino/gliguard-LLMGuardrails-300M`	`full`, `lora`	$0.07 / GPU-minute $4.20 / GPU-hour
GLiNER2 Base `fastino/gliner2-base-v1`	`full`, `lora`	$0.07 / GPU-minute $4.20 / GPU-hour
GLiNER2 Large `fastino/gliner2-large-v1`	`full`, `lora`	$0.07 / GPU-minute $4.20 / GPU-hour
GLiNER2 Multilingual Large `fastino/gliner2-multi-large-v1`	`full`, `lora`	$0.07 / GPU-minute $4.20 / GPU-hour
GLiNER2 Multilingual `fastino/gliner2-multi-v1`	`full`, `lora`	$0.07 / GPU-minute $4.20 / GPU-hour
GLiNER2 Privacy Filter PII `fastino/gliner2-privacy-filter-PII-multi`	`full`, `lora`	$0.07 / GPU-minute $4.20 / GPU-hour
GLiNER 2.5 Base `fastino/gliner2.5-base-v1`	`full`, `lora`	$0.07 / GPU-minute $4.20 / GPU-hour
GLiNER 2.5 Multilingual `fastino/gliner2.5-multi-v1`	`full`, `lora`	$0.07 / GPU-minute $4.20 / GPU-hour

Decoders

Train these with an interactive job, where your application controls each step: Interactive-training context limits are operation-specific capabilities. They can differ from a base model’s catalog context_window and from an inference endpoint’s request limit.

Model	Callable ID	Prefill, not cached / 1M	Prefill, cached / 1M	Sample / 1M	Train / 1M
Nemotron 3.5 Super VL	`nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4`	$0.16	$0.032	$0.65	$0.65
Nemotron 3.5 Lightning	`nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16`	$0.05	$0.01	$0.35	$0.30
Qwen3.6-35B-A3B	`Qwen/Qwen3.6-35B-A3B`	$0.08	$0.016	$0.44	$0.44

Nemotron 3.5 Super VL is the product display name; use the callable IDs shown in the table in training requests. Interactive checkpoint storage is $0.05 per GB-month. A decoder’s sampler checkpoint downloads as a standard Hugging Face PEFT adapter for the public base model, so you can load it with PeftModel.from_pretrained. See Load a decoder adapter. See the Training API to choose a workflow and start a job.

Inference models

Call GET /v1/base-models?supports_inference=true for current inference availability and capabilities.

Nemotron 3.5 Super VL

This model ID supports both inference and interactive training.

Model ID	Model	Parameters	Context Window	Input / 1M tokens	Output / 1M tokens
`nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4`	Nemotron 3.5 Super VL	120B total / 12B active	262,144 tokens	$0.08	$0.45

Fastino Nemotron 3.5 Lightning

Nemotron 3.5 Lightning merged with Fastino’s finance or healthcare adapter. These model IDs support inference only.

Model ID	Model	Parameters	Context Window	Input / 1M tokens	Output / 1M tokens
`fastino/Fastino-Nemotron-3.5-Lightning-Finance`	Fastino Nemotron 3.5 Lightning Finance	30B total / 3B active	8,192 tokens	$0.50	$0.50
`fastino/Fastino-Nemotron-3.5-Lightning-Healthcare`	Fastino Nemotron 3.5 Lightning Healthcare	30B total / 3B active	8,192 tokens	$0.50	$0.50

GLiDE

The limit below is the /v1/systemone rendered-prompt limit, not a claim about the underlying model’s catalog context window.

Model ID	Model	Parameters	SystemOne rendered-prompt limit	Input / 1M tokens	Output / 1M tokens
`fastino/GLiDE`	GLiDE	27B	65,536 tokens	$0.04	$0

GLiNER-2.5-Decide

Model ID	Model	Parameters	Context Window	Input / 1M tokens	Output / 1M tokens
`fastino/GLiNER-2.5-Decide`	GLiNER-2.5-Decide	340M	8,192 tokens	$0.03	$0

GLiNER 2.5

Model ID	Model	Parameters	Context Window	Input / 1M tokens	Output / 1M tokens
`fastino/gliner2.5-base-v1`	GLiNER 2.5 Base	194M	4,096 tokens	$0.03	$0
`fastino/gliner2.5-multi-v1`	GLiNER 2.5 Multilingual	287M	4,096 tokens	$0.03	$0

GLiNER2

Model ID	Model	Parameters	Context Window	Input / 1M tokens	Output / 1M tokens
`fastino/gliner2-base-v1`	GLiNER2 Base	205M	2,048 tokens	$0.03	$0
`fastino/gliner2-large-v1`	GLiNER2 Large	340M	8,192 tokens	$0.03	$0
`fastino/gliner2-multi-v1`	GLiNER2 Multilingual	~205M	8,192 tokens	$0.03	$0
`fastino/gliner2-multi-large-v1`	GLiNER2 Multilingual Large	Not publicly disclosed	8,192 tokens	$0.03	$0

GLiGuard

Model ID	Model	Parameters	Context Window	Input / 1M tokens	Output / 1M tokens
`fastino/gliguard-LLMGuardrails-300M`	GLiGuard LLM Guardrails	300M	8,192 tokens	$0.15	$0.15

PII Models

Model ID	Model	Parameters	Context Window	Input / 1M tokens	Output / 1M tokens
`fastino/gliner2-privacy-filter-PII-multi`	GLiNER2 Privacy Filter PII	300M	8,192 tokens	$0.03	$0
`fastino/gliguard-PII-multi`	GLiGuard PII Multilingual	300M	8,192 tokens	$0.15	$0.15

Prices are per 1M tokens. See Pricing for training rates and credit details.

Get Started

Decision Models

Training API

GLiNER Models

Inference API

Troubleshooting

Models

Account

Trainable models

Encoders

Decoders

Inference models

Nemotron 3.5 Super VL

Fastino Nemotron 3.5 Lightning

GLiDE

GLiNER-2.5-Decide

GLiNER 2.5

GLiNER2

GLiGuard

PII Models

API model catalogs

Inference models

Trainable models

​Trainable models

​Encoders

​Decoders

​Inference models

​Nemotron 3.5 Super VL

​Fastino Nemotron 3.5 Lightning

​GLiDE

​GLiNER-2.5-Decide

​GLiNER 2.5

​GLiNER2

​GLiGuard

​PII Models

​API model catalogs

Inference models

Trainable models

Trainable models

Encoders

Decoders

Inference models

Nemotron 3.5 Super VL

Fastino Nemotron 3.5 Lightning

GLiDE

GLiNER-2.5-Decide

GLiNER 2.5

GLiNER2

GLiGuard

PII Models

API model catalogs