# GLiClass vs Liquid d1

> GLiClass scores 49.9 (D) on agent readiness against Liquid d1's 43.5 (E), and leads in 4 of 7 scored categories. Liquid d1 leads on schema & documentation and maintenance & community. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1
- Markdown: https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.md (~2,350 tokens)
- Slim: https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

GLiClass scores 49.9 (D) on agent readiness against Liquid d1's 43.5 (E), and leads in 4 of 7 scored categories. Liquid d1 leads on schema & documentation and maintenance & community. Both do inference decision.

- GLiClass: grade D, 49.9/100, rank #697 of 842. Markdown https://www.anchorterminal.com/tools/gliclass.md · JSON https://www.anchorterminal.com/api/v1/tools/gliclass.json
- Liquid d1: grade E, 43.5/100, rank #784 of 842. Markdown https://www.anchorterminal.com/tools/liquid-d1.md · JSON https://www.anchorterminal.com/api/v1/tools/liquid-d1.json

## Which one, for what

### GLiClass (D)

Good for: Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.

Ahead on:
- Reliability, 43 against 21
- Payments & pricing, 60 against 27
- Transparency & trust, 64 against 54

Also in its favour:
- No key needed to call it
- Open source

Watch for: No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic

### Liquid d1 (E)

Good for: Classification, routing, yes or no gates and rubric scoring over text and images at a low per-token price, or on your own hardware with d1-3B where data can't leave.

Ahead on:
- Schema & documentation, 59 against 49
- Maintenance & community, 60 against 44

Also in its favour:
- A hosted endpoint, with nothing to install

Watch for: The terms of 30 September 2026 allow Liquid to train on API content, with no opt-out or zero-retention option found


## Score by category

| Category | Weight | GLiClass | Liquid d1 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 43 | 21 | GLiClass +22 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 49 | 59 | Liquid d1 +10 |
| Agent ergonomics | 13% (16.2 this run) | 60 | 63 | Liquid d1 +3 |
| Security & auth | 14% (17.5 this run) | 38 | 35 | GLiClass +3 |
| Payments & pricing | 10% (12.5 this run) | 60 | 27 | GLiClass +33 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 44 | 60 | Liquid d1 +16 |
| Transparency & trust | 7% (8.8 this run) | 64 | 54 | GLiClass +10 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **49.9 · D** | **43.5 · E** | |

## Facts side by side

| Fact | GLiClass | Liquid d1 |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Knowledgator | Liquid AI |
| Hosted endpoint | no (local only) | `https://api.liquid.ai/decisions/v1/systemone` |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | Apache-2.0 (library and the model weights we checked) | The hosted d1 model is proprietary under Liquid AI's terms of service. The d1-3B and d1-omni-600M weights and model code are under the LFM Open Licence v1.0, which is based on Apache-2.0 and conditions commercial use on annual revenue under $10 million. Training code and data aren't published |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-07-21 | 2026-10-07 |
| Terms last updated | no document linked | 2026-09-30 |
| Privacy policy last updated | no document linked | 2026-09-30 |
| Customer content may train models |  | yes |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | not found in the text |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | not found in the text |
| Popularity | 555 stars, 13k PyPI/wk | none |

## Verdicts

**GLiClass.** An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.

**Liquid d1.** The hosted API costs $0.04 per million input tokens and takes TypeSafe's System One request, and the d1-3B weights run locally through Transformers or llama.cpp. Liquid's terms allow it to train on API content, and no status page, rate limits or error reference were found. The family launched between 22 September and 7 October 2026.

## Before you call either

### GLiClass

1. Pass `--host 127.0.0.1` to `python -m gliclass.serve`, or put the port behind your own gateway. The server checks no credential
2. On a machine without a GPU add `--device cpu --dtype float32 --num-gpus-per-replica 0`. The default configuration expects CUDA
3. Send one text a request to `POST /gliclass`. An array in `texts` is cut to its first item without an error
4. Set `multi_label` to false for one label from a set. The default scores each label independently, so scores do not sum to 1
5. Keep text plus labels under the pipeline's 1,024-token `max_length`, or use `ZeroShotClassificationWithChunkingPipeline`. Longer input is truncated silently

### Liquid d1

1. POST to https://api.liquid.ai/decisions/v1/systemone with a `liquid_` key as a Bearer header. This is not a chat-completions endpoint
2. Use `d1` for images. `d1:free` is text-only and answers that it does not accept images
3. Send images as Base64 data URLs in `images`, at most 8, with the whole JSON body under 4.5 MB. Remote image URLs are refused
4. Budget tokens per question. Each question is billed as its own prompt, with its text and every image counted again
5. Don't send confidential content to the hosted API, since the terms allow training on it. Run d1-3B locally for that data

## Questions

### Which is better for AI agents, GLiClass or Liquid d1?

GLiClass scores 49.9 (D) on agent readiness against Liquid d1's 43.5 (E), and leads in 4 of 7 scored categories. Liquid d1 leads on schema & documentation and maintenance & community.

### Do GLiClass and Liquid d1 need an API key?

GLiClass needs no key. Liquid d1 needs an API key.

### Can an agent call GLiClass and Liquid d1 without installing anything?

No hosted endpoint is listed for GLiClass. Liquid d1 has a hosted endpoint at https://api.liquid.ai/decisions/v1/systemone.

### Are GLiClass and Liquid d1 open source?

GLiClass is open source (Apache-2.0 (library and the model weights we checked)). No open-source release is listed for Liquid d1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "gliclass", "b": "liquid-d1"}`. From a terminal: `anchor compare gliclass liquid-d1`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gliclass.json and https://www.anchorterminal.com/api/v1/tools/liquid-d1.json

## Other comparisons with GLiClass or Liquid d1

- [Celeris-1 Decision vs GLiClass](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.md)
- [Celeris-1 Decision vs Liquid d1](https://www.anchorterminal.com/compare/celeris-1-decision-vs-liquid-d1.md)
- [Clef vs GLiClass](https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass.md)
- [Clef vs Liquid d1](https://www.anchorterminal.com/compare/cloudflare-clef-vs-liquid-d1.md)
- [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.md)
- [Laya vs Liquid d1](https://www.anchorterminal.com/compare/convai-laya-vs-liquid-d1.md)
- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.md)
- [Decider vs Liquid d1](https://www.anchorterminal.com/compare/decider-vs-liquid-d1.md)
- [GLiClass vs Kev](https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.md)
- [GLiClass vs OpenAI Decisions API](https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.md)
- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)
- [GLiClass vs Jev](https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev.md)
- [GLiClass vs Vela 2.0](https://www.anchorterminal.com/compare/gliclass-vs-vela.md)
- [Kev vs Liquid d1](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-liquid-d1.md)
- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.md)
- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)
- [Liquid d1 vs Jev](https://www.anchorterminal.com/compare/liquid-d1-vs-typesafe-jev.md)
- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.md)