# Decision 3.0 vs GLiClass

> Decision 3.0 scores 63.1 (B) 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/decision-3-vs-gliclass
- Markdown: https://www.anchorterminal.com/compare/decision-3-vs-gliclass.md (~2,500 tokens)
- Slim: https://www.anchorterminal.com/compare/decision-3-vs-gliclass.min.md (~530 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/decision-3-vs-gliclass.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: 2026-10-12

Decision 3.0 scores 63.1 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 5 of 7 scored categories. GLiClass leads on transparency & trust. Both do decision models.

- Decision 3.0: grade B, 63.1/100, rank #413 of 965. Markdown https://www.anchorterminal.com/tools/decision-3.md · JSON https://www.anchorterminal.com/api/v1/tools/decision-3.json
- GLiClass: grade D, 49.9/100, rank #793 of 965. Markdown https://www.anchorterminal.com/tools/gliclass.md · JSON https://www.anchorterminal.com/api/v1/tools/gliclass.json
- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md
- All 105 decisions comparisons: https://www.anchorterminal.com/compare/decision-models/index.md

## Which one, for what

### Decision 3.0 (B)

Good for: Self-hosted typed decisions over screenshots, documents and short video as well as text, where open weights matter.

Ahead on:
- Reliability, 58 against 43
- Schema & documentation, 70 against 49
- Agent ergonomics, 72 against 60
- Security & auth, 56 against 38
- Maintenance & community, 82 against 44

Watch for: Released on 10 October 2026, with five tagged releases of each model by 11 October

### 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:
- Transparency & trust, 64 against 45

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


## Score by category

| Category | Weight | Decision 3.0 | GLiClass | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 58 | 43 | Decision 3.0 +15 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 70 | 49 | Decision 3.0 +21 |
| Agent ergonomics | 13% (16.2 this run) | 72 | 60 | Decision 3.0 +12 |
| Security & auth | 14% (17.5 this run) | 56 | 38 | Decision 3.0 +18 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 82 | 44 | Decision 3.0 +38 |
| Transparency & trust | 7% (8.8 this run) | 45 | 64 | GLiClass +19 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **63.1 · B** | **49.9 · D** | |

## Facts side by side

| Fact | Decision 3.0 | GLiClass |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | vLLM Semantic Router Team | Knowledgator |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 for the weights and the bundled runtime, built on Apache-2.0 Qwen3.5 and Qwen3.8 bases | Apache-2.0 (library and the model weights we checked) |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-11 | 2026-07-21 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Popularity | none | 555 stars, 13k PyPI/wk |

## Verdicts

**Decision 3.0.** Open Apache-2.0 decision models that read images and video as well as text and answer several typed questions in one call, with a probability per option and tagged Hub releases. They are two days old, need a GPU and `trust_remote_code`, drop Vela's set and span types, and publish no calibration figures.

**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.

## Before you call either

### Decision 3.0

1. Pin a tag or commit with `revision=` when loading from the Hub. Each model had five tagged releases on 10 and 11 October
2. Send images and videos to `d3_server.py` as base64 data URLs only. The server refuses paths and http URLs with 422
3. Set `DECISION_API_KEY` before binding the bundled server beyond 127.0.0.1. It is open otherwise
4. Turn on `permutation_average=True` when routing must not depend on option order. It is off by default
5. Expect one request at a time from the bundled server. Use the router's model runtime for queued serving

### 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

## Questions

### Which is better for AI agents, Decision 3.0 or GLiClass?

Decision 3.0 scores 63.1 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 5 of 7 scored categories. GLiClass leads on transparency & trust.

### Do Decision 3.0 and GLiClass need an API key?

Neither needs a key.

### Can an agent call Decision 3.0 and GLiClass without installing anything?

No hosted endpoint is listed for Decision 3.0. No hosted endpoint is listed for GLiClass.

### Are Decision 3.0 and GLiClass open source?

Yes. Decision 3.0 is open source (Apache-2.0 for the weights and the bundled runtime, built on Apache-2.0 Qwen3.5 and Qwen3.8 bases). GLiClass is open source (Apache-2.0 (library and the model weights we checked)).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/decision-3-vs-gliclass.json, and with the fewest tokens: https://www.anchorterminal.com/compare/decision-3-vs-gliclass.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "decision-3", "b": "gliclass"}`. From a terminal: `anchor compare decision-3 gliclass`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/decision-3.json and https://www.anchorterminal.com/api/v1/tools/gliclass.json

## Other comparisons with Decision 3.0 or GLiClass

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