# GLiClass vs SPEV

> SPEV scores 51.1 (D) to GLiClass's 49.9 (D) for decision models. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev
- Markdown: https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev.md (~2,600 tokens)
- Slim: https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/gliclass-vs-sprag-spev.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
- Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.
- Updated: 2026-10-15

SPEV scores 51.1 (D) on agent readiness against GLiClass's 49.9 (D), and leads in 4 of 7 scored categories. GLiClass leads on security & auth, payments & pricing and transparency & trust. Both do decision models.

- GLiClass: grade D, 49.9/100, rank #848 of 1094. Markdown https://www.anchorterminal.com/tools/gliclass.md · JSON https://www.anchorterminal.com/api/v1/tools/gliclass.json
- SPEV: grade D, 51.1/100, rank #819 of 1094. Markdown https://www.anchorterminal.com/tools/sprag-spev.md · JSON https://www.anchorterminal.com/api/v1/tools/sprag-spev.json
- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md
- All 136 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md

## 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:
- Security & auth, 38 against 33
- Payments & pricing, 60 against 30
- 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

### SPEV (D)

Good for: Typed decisions over raw audio, such as end-of-turn detection, call triage and flagging, plus text and single images, hosted or self-hosted.

Ahead on:
- Schema & documentation, 81 against 49
- Agent ergonomics, 76 against 60
- Maintenance & community, 49 against 44

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

Watch for: Published on 14 October 2026, with no service record, no status page and no API changelog


## Score by category

| Category | Weight | GLiClass | SPEV | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 43 | 45 | SPEV +2 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 49 | 81 | SPEV +32 |
| Agent ergonomics | 13% (16.2 this run) | 60 | 76 | SPEV +16 |
| Security & auth | 14% (17.5 this run) | 38 | 33 | GLiClass +5 |
| Payments & pricing | 10% (12.5 this run) | 60 | 30 | GLiClass +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 44 | 49 | SPEV +5 |
| Transparency & trust | 7% (8.8 this run) | 64 | 54 | GLiClass +10 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **49.9 · D** | **51.1 · D** | |

## Facts side by side

| Fact | GLiClass | SPEV |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Knowledgator | Sprag |
| Hosted endpoint | no (local only) | `https://api.sprag.ai/v1/decisions` |
| 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) | Apache-2.0 (weights and inference code, following the Qwen3-Omni base). Training code and data aren't published |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| Last release | 2026-07-21 | 2026-10-14 |
| Terms last updated | no document linked | 2026-09-01 |
| Privacy policy last updated | no document linked | 2026-08-01 |
| Customer content may train models |  | yes, with an opt-out |
| 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.

**SPEV.** SPEV answers typed questions over text, audio or an image in one call, with a public OpenAPI schema and Apache-2.0 weights on Hugging Face. It is a day old, has an 8,192-token context, no status page or changelog, and Sprag's terms let it train on API content unless the customer opts out by email.

## 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

### SPEV

1. Send `model: "spev"` to `POST https://api.sprag.ai/v1/decisions` with a bearer key. `/v1/systemone` returns 410
2. Ask every question about one piece of evidence in one request. Answers come back in question order
3. Send audio as base64 in `input_audio` with `format`, not as a data URL, and at most one image across all messages
4. Keep evidence and questions under 8,192 tokens. Over the limit returns 400 `model_limit_exceeded`
5. Back off on 429 and 503 for `Retry-After` seconds. Limits are 60 requests a minute per organisation by default
6. Handle an answer of type `refusal`, which carries no probabilities

## Questions

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

SPEV scores 51.1 (D) on agent readiness against GLiClass's 49.9 (D), and leads in 4 of 7 scored categories. GLiClass leads on security & auth, payments & pricing and transparency & trust.

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

GLiClass needs no key. SPEV needs an API key.

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

No hosted endpoint is listed for GLiClass. SPEV has a hosted endpoint at https://api.sprag.ai/v1/decisions.

### Are GLiClass and SPEV open source?

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


## For agents

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

## Other comparisons with GLiClass or SPEV

- [Celeris-1 Decision vs GLiClass](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.md)
- [Celeris-1 Decision vs SPEV](https://www.anchorterminal.com/compare/celeris-1-decision-vs-sprag-spev.md)
- [Clef vs GLiClass](https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass.md)
- [Clef vs SPEV](https://www.anchorterminal.com/compare/cloudflare-clef-vs-sprag-spev.md)
- [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.md)
- [Laya vs SPEV](https://www.anchorterminal.com/compare/convai-laya-vs-sprag-spev.md)
- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.md)
- [Decider vs SPEV](https://www.anchorterminal.com/compare/decider-vs-sprag-spev.md)
- [Decision 3.0 vs GLiClass](https://www.anchorterminal.com/compare/decision-3-vs-gliclass.md)
- [Decision 3.0 vs SPEV](https://www.anchorterminal.com/compare/decision-3-vs-sprag-spev.md)
- [GLiClass vs Kev](https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.md)
- [GLiClass vs Liquid d1](https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.md)
- [GLiClass vs Microsoft-Decision-1](https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.md)
- [GLiClass vs Drex 1.5](https://www.anchorterminal.com/compare/gliclass-vs-nace-drex.md)
- [GLiClass vs OpenAI Decisions API](https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.md)
- [GLiClass vs pplx-decider](https://www.anchorterminal.com/compare/gliclass-vs-pplx-decider.md)
- [GLiClass vs ScaleDown](https://www.anchorterminal.com/compare/gliclass-vs-scaledown.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 SPEV](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-sprag-spev.md)
- [Liquid d1 vs SPEV](https://www.anchorterminal.com/compare/liquid-d1-vs-sprag-spev.md)
- [Microsoft-Decision-1 vs SPEV](https://www.anchorterminal.com/compare/microsoft-decision-1-vs-sprag-spev.md)
- [Drex 1.5 vs SPEV](https://www.anchorterminal.com/compare/nace-drex-vs-sprag-spev.md)
- [OpenAI Decisions API vs SPEV](https://www.anchorterminal.com/compare/openai-decisions-api-vs-sprag-spev.md)
- [pplx-decider vs SPEV](https://www.anchorterminal.com/compare/pplx-decider-vs-sprag-spev.md)
- [ScaleDown vs SPEV](https://www.anchorterminal.com/compare/scaledown-vs-sprag-spev.md)
- [SPEV vs Strands Decider 2B](https://www.anchorterminal.com/compare/sprag-spev-vs-strands-decider.md)
- [SPEV vs Jev](https://www.anchorterminal.com/compare/sprag-spev-vs-typesafe-jev.md)
- [SPEV vs Vela 2.0](https://www.anchorterminal.com/compare/sprag-spev-vs-vela.md)