LFM3-1.7B via the Tokenator API
What the model is for
A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used to train Liquid models.
Specification
| Full name | LFM3-1.7B |
| API ID | lfm-3-1.7b |
| Model vendor | LiquidAI |
| Type | Text model (chat / completions) |
| Context window | 262.1K tokens |
| Max output | 8.2K tokens |
| Image input | no |
| Tokenator usage multiplier | 1.1× |
| Badge | NEW |
| Input modalities | text |
| Supported API formats | /v1/chat/completions /v1/responses /v1/messages |
| Upstream providers | 1 |
| Current status | available |
| Data updated | 2026-11-07 |
Upstream providers
| Provider | Multiplier |
|---|---|
| Unified LLM API | 1.1× |
A request goes to the first available provider by priority; if it fails, Tokenator switches to the next one.
Example request
curl https://api.tokenator.top/v1/chat/completions \ -H "Authorization: Bearer sk-your-tokenator-key" \ -H "Content-Type: application/json" \ -d '{ "model": "lfm-3-1.7b", "messages": [{"role": "user", "content": "Hello"}] }'
Compatible tools
The model can be used in any tool that accepts a custom base URL: Claude Code, Codex CLI, OpenCode, Cursor, Cline, Kilo Code, Cherry Studio, DeepSeek Harness, Hermes, Pi, OpenClaw.
See also
FAQ about LFM3-1.7B
What is the API ID of LFM3-1.7B?
lfm-3-1.7b — put this into the model field of your request.
What context window does LFM3-1.7B have?
262.1K tokens; max output is 8.2K tokens.
How many tokens will a request cost?
(input + output) × 1.1×. See the documentation for details.
Which tools support this model?
Any tool that accepts a custom base URL: Claude Code, Codex CLI, OpenCode, Cursor, Cline, Kilo Code. Setup guides are in the integrations section.