# Decider vs GLiClass > Decider scores 69.5 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 4 of 7 scored categories. GLiClass leads on transparency & trust. Both do inference decision. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/decider-vs-gliclass - Markdown: https://www.anchorterminal.com/compare/decider-vs-gliclass.md (~2,200 tokens) - Slim: https://www.anchorterminal.com/compare/decider-vs-gliclass.min.md (~480 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/decider-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: 2026-10-09 Decider scores 69.5 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 4 of 7 scored categories. GLiClass leads on transparency & trust. Both do inference decision. - Decider: grade B, 69.5/100, rank #172 of 842. Markdown https://www.anchorterminal.com/tools/decider.md · JSON https://www.anchorterminal.com/api/v1/tools/decider.json - 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 ## Which one, for what ### Decider (B) Good for: Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route. Ahead on: - Reliability, 90 against 43 - Schema & documentation, 78 against 49 - Agent ergonomics, 80 against 60 - Maintenance & community, 87 against 44 Watch for: The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1 ### 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 46 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 | Decider | GLiClass | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 90 | 43 | Decider +47 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 78 | 49 | Decider +29 | | Agent ergonomics | 13% (16.2 this run) | 80 | 60 | Decider +20 | | Security & auth | 14% (17.5 this run) | 38 | 38 | even | | 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) | 87 | 44 | Decider +43 | | Transparency & trust | 7% (8.8 this run) | 46 | 64 | GLiClass +18 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **69.5 · B** | **49.9 · D** | | ## Facts side by side | Fact | Decider | GLiClass | | --- | --- | --- | | Kind | Model API | Model API | | Vendor | Mark Marosi (Mapika) | 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 (code and weights) | Apache-2.0 (library and the model weights we checked) | | Read-only variant documented | no | no | | llms.txt | no | no | | Last release | 2026-10-07 | 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 | 1.1k stars, 2.7k PyPI/wk | 555 stars, 13k PyPI/wk | ## Verdicts **Decider.** An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published. **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 ### Decider 1. Pin weights by Hub tag (`v10`, `v2`) when results must repeat. The `main` branch of each model repository changes with new versions 2. Read `x_p_max` for the top probability. Since 1.3.0 `confidence` on choice and score answers follows TypeSafe's rescaled definition, not the top probability 3. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option 4. Count state tokens before sending. Over 32,768 the state is cut silently, and `/decide` caps context at 1,536 tokens 5. Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail ### 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, Decider or GLiClass? Decider scores 69.5 (B) on agent readiness against GLiClass's 49.9 (D), and leads in 4 of 7 scored categories. GLiClass leads on transparency & trust. ### Do Decider and GLiClass need an API key? Neither needs a key. ### Can an agent call Decider and GLiClass without installing anything? No hosted endpoint is listed for Decider. No hosted endpoint is listed for GLiClass. ### Are Decider and GLiClass open source? Yes. Decider is open source (Apache-2.0 (code and weights)). 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/decider-vs-gliclass.json, and with the fewest tokens: https://www.anchorterminal.com/compare/decider-vs-gliclass.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "decider", "b": "gliclass"}`. From a terminal: `anchor compare decider gliclass` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/decider.json and https://www.anchorterminal.com/api/v1/tools/gliclass.json ## Other comparisons with Decider or GLiClass - [Celeris-1 Decision vs Decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.md) - [Celeris-1 Decision vs GLiClass](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.md) - [Clef vs Decider](https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.md) - [Clef vs GLiClass](https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass.md) - [Laya vs Decider](https://www.anchorterminal.com/compare/convai-laya-vs-decider.md) - [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.md) - [Decider vs Kev](https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.md) - [Decider vs Liquid d1](https://www.anchorterminal.com/compare/decider-vs-liquid-d1.md) - [Decider vs OpenAI Decisions API](https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api.md) - [Decider vs Strands Decider 2B](https://www.anchorterminal.com/compare/decider-vs-strands-decider.md) - [Decider vs Jev](https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.md) - [Decider vs Vela 2.0](https://www.anchorterminal.com/compare/decider-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 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)