# GLiClass vs Microsoft-Decision-1

> GLiClass scores 49.9 (D) to Microsoft-Decision-1's 39 (E) for decision models. Microsoft-Decision-1 is cheaper for decision models, $0 against $0 per 1M tokens. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1
- Markdown: https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.md (~2,750 tokens)
- Slim: https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.min.md (~630 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.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: 2026-10-10

GLiClass scores 49.9 (D) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in 6 of 7 scored categories. Microsoft-Decision-1 leads on security & auth. Both do decision models. Microsoft-Decision-1 is cheaper for decision models, $0 against $0 per 1M tokens.

- GLiClass: grade D, 49.9/100, rank #785 of 954. Markdown https://www.anchorterminal.com/tools/gliclass.md · JSON https://www.anchorterminal.com/api/v1/tools/gliclass.json
- Microsoft-Decision-1: grade E, 39/100, rank #921 of 954. Markdown https://www.anchorterminal.com/tools/microsoft-decision-1.md · JSON https://www.anchorterminal.com/api/v1/tools/microsoft-decision-1.json
- Best decision models for AI agents: https://www.anchorterminal.com/best/decision-models/index.md
- All 91 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:
- Reliability, 43 against 30
- Schema & documentation, 49 against 43
- Agent ergonomics, 60 against 50
- Payments & pricing, 60 against 20
- Transparency & trust, 64 against 32

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

### Microsoft-Decision-1 (E)

Good for: Routing, classification, prioritisation and rubric checks over text, where a fixed set of options and a low price per token matter more than generated text.

Ahead on:
- Security & auth, 52 against 38

Also in its favour:
- Cheaper for decision models, $0 against $0 per 1M tokens

Watch for: Public preview only. Microsoft's post gives no general availability date and states no licence for the hosted model


## Score by category

| Category | Weight | GLiClass | Microsoft-Decision-1 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 43 | 30 | GLiClass +13 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 49 | 43 | GLiClass +6 |
| Agent ergonomics | 13% (16.2 this run) | 60 | 50 | GLiClass +10 |
| Security & auth | 14% (17.5 this run) | 38 | 52 | Microsoft-Decision-1 +14 |
| 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 | 40 | GLiClass +4 |
| Transparency & trust | 7% (8.8 this run) | 64 | 32 | GLiClass +32 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **49.9 · D** | **39 · E** | |

## Facts side by side

| Fact | GLiClass | Microsoft-Decision-1 |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Knowledgator | Microsoft |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | OAuth or key |
| Pricing | Free | Pay per use |
| Price for decision models | free | free |
| x402 | no | no |
| Licence | Apache-2.0 (library and the model weights we checked) | Not stated. The announcement and OpenRouter's model page name no licence, and no weights repository was found. |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-07-21 | 2026-10-09 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | 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 | 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.

**Microsoft-Decision-1.** Microsoft publishes $0.042 per million input tokens, with output free, and the model is callable through Microsoft Foundry and OpenRouter. It is in public preview. No licence, model-specific retention statement, rate limit or deprecation policy was found, and the Foundry route needs an Azure deployment and an Entra token. Latency and accuracy figures are Microsoft's claims.

## 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

### Microsoft-Decision-1

1. Use OpenRouter's Decisions method, not an OpenAI chat-completions SDK. OpenRouter says chat completions SDKs will not work with this model
2. On Foundry, send the request to the deployment's /providers/microsoft/v1/systemone path with a Microsoft Entra token for https://cognitiveservices.azure.com/.default, not an API key
3. Take the deployment name from the Foundry quickstart before the first call. Microsoft says to confirm the route and authentication header, and the pages reviewed do not give the name
4. Keep each request within OpenRouter's 32,768-token context and send only fixed options, since the model is not intended for open-ended generation
5. Measure latency and calibration on your own labelled cases before relying on Microsoft's latency and 'nine times out of 10' statements

## Questions

### Which is better for AI agents, GLiClass or Microsoft-Decision-1?

GLiClass scores 49.9 (D) on agent readiness against Microsoft-Decision-1's 39 (E), and leads in 6 of 7 scored categories. Microsoft-Decision-1 leads on security & auth.

### Which is cheaper for decision models, GLiClass or Microsoft-Decision-1?

GLiClass, at free against free for Microsoft-Decision-1. These are the vendors' published prices for the job.

### Do GLiClass and Microsoft-Decision-1 need an API key?

GLiClass needs no key. Microsoft-Decision-1 takes an API key or an OAuth sign-in.

### Can an agent call GLiClass and Microsoft-Decision-1 without installing anything?

No hosted endpoint is listed for GLiClass. No hosted endpoint is listed for Microsoft-Decision-1.

### Are GLiClass and Microsoft-Decision-1 open source?

GLiClass is open source (Apache-2.0 (library and the model weights we checked)). No open-source release is listed for Microsoft-Decision-1.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gliclass-vs-microsoft-decision-1.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "gliclass", "b": "microsoft-decision-1"}`. From a terminal: `anchor compare gliclass microsoft-decision-1`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gliclass.json and https://www.anchorterminal.com/api/v1/tools/microsoft-decision-1.json

## Other comparisons with GLiClass or Microsoft-Decision-1

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