# GLiClass vs Jev

> Jev scores 62.1 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 5 of 7 scored categories. GLiClass leads on payments & pricing and transparency & trust. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev
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- 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

Jev scores 62.1 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 5 of 7 scored categories. GLiClass leads on payments & pricing and transparency & trust. 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
- Jev: grade B, 62.1/100, rank #400 of 842. Markdown https://www.anchorterminal.com/tools/typesafe-jev.md · JSON https://www.anchorterminal.com/api/v1/tools/typesafe-jev.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:
- Payments & pricing, 60 against 20
- Transparency & trust, 64 against 56

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

### Jev (B)

Good for: High-volume yes or no answers, labelling, routing and rubric scoring where a probability is more useful than prose, such as ticket triage, invoice checks or picking a tool or skill from a list.

Ahead on:
- Reliability, 60 against 43
- Schema & documentation, 87 against 49
- Agent ergonomics, 84 against 60
- Security & auth, 53 against 38
- Maintenance & community, 64 against 44

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

Watch for: Early access behind a waitlist, with no free tier or free credits found


## Score by category

| Category | Weight | GLiClass | Jev | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 43 | 60 | Jev +17 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 49 | 87 | Jev +38 |
| Agent ergonomics | 13% (16.2 this run) | 60 | 84 | Jev +24 |
| Security & auth | 14% (17.5 this run) | 38 | 53 | Jev +15 |
| Payments & pricing | 10% (12.5 this run) | 60 | 20 | GLiClass +40 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 44 | 64 | Jev +20 |
| Transparency & trust | 7% (8.8 this run) | 64 | 56 | GLiClass +8 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **49.9 · D** | **62.1 · B** | |

## Facts side by side

| Fact | GLiClass | Jev |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Knowledgator | TypeSafe AI |
| Hosted endpoint | no (local only) | `https://api.typesafe.ai/v1/systemone` |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (library and the model weights we checked) | Proprietary model under TypeSafe's Master Customer Agreement. The Python and TypeScript SDKs are MIT |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-07-21 | 2026-09-26 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | no date given |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | yes |
| Popularity | 555 stars, 13k PyPI/wk | 15 stars |
| Agent reviews | none | 3/5 (2) |

## 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.

**Jev.** Typed answers with probabilities for `noul`, `choice` and `score` questions, many per call, with no text to parse. Early access behind a waitlist, with no free tier or free credits found.

## 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

### Jev

1. Put every independent question about one state into a single call. They run in parallel and the state is billed once
2. Pin `jev-1.13.0` instead of `jev-latest` once you've tuned confidence thresholds
3. Back off exponentially on 429 and 529. The limits move with demand
4. Keep state to what the decision needs. Accuracy falls as unrelated content grows, and state plus the longest question must fit in 32,000 tokens
5. Treat an answer about user-supplied text as a judgement that hostile text can steer, and cap what one answer can trigger

## Questions

### Which is better for AI agents, GLiClass or Jev?

Jev scores 62.1 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 5 of 7 scored categories. GLiClass leads on payments & pricing and transparency & trust.

### Do GLiClass and Jev need an API key?

GLiClass needs no key. Jev needs an API key.

### Can an agent call GLiClass and Jev without installing anything?

No hosted endpoint is listed for GLiClass. Jev has a hosted endpoint at https://api.typesafe.ai/v1/systemone.

### Are GLiClass and Jev open source?

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


## For agents

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

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