Title: GLM-OCR vs GLM-5.3: Parameters, License, Context window %E2%80%94 LLM EU
Canonical: https://llmeu.com/en/compare/glm-ocr-vs-glm-5-3/
Markdown mirror: https://llmeu.com/en/compare/glm-ocr-vs-glm-5-3.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# GLM-OCR vs GLM-5.3

Put two to four models side by side on the fields that decide a deployment: context, price, region, license, languages, hosting, and what is verified.

Where two models differ, this table shows the difference and stops. LLM EU publishes no winner badge without a documented score for that task, and a missing figure stays missing instead of becoming a zero.

## When to use it

### [GLM-OCR](/en/models/glm-ocr/)

#### Strengths

- purpose-built document OCR rather than general vision
- runs on modest hardware and through common inference servers
- MIT licence

#### Limits

- text extraction only; it is not a general chat or reasoning model
- vendor parameter count (0.9B) differs from the published safetensors total (1.33B)
- no OCR benchmark has been run by LLM EU

#### Tasks

[Vision](/en/tasks/vision/), [Retrieval (RAG)](/en/tasks/rag/), [Legal drafting](/en/tasks/legal-draft/), [Low cost](/en/tasks/cheap/), [Summarisation](/en/tasks/summarization/)

### [GLM-5.3](/en/models/glm-5-3/)

#### Strengths

- very large context window of 1M tokens
- top published agentic and terminal-benchmark scores
- open weights, unlike most frontier-scale models

#### Limits

- bespoke Z.ai licence, which must be read before commercial use
- 753B parameters require a multi-node deployment
- all benchmark figures are self-reported by the vendor

#### Tasks

[Coding](/en/tasks/coding/), [Reasoning](/en/tasks/reasoning/), [Summarisation](/en/tasks/summarization/), [Retrieval (RAG)](/en/tasks/rag/)

**Tasks:** [Retrieval (RAG)](/en/tasks/rag/), [Summarisation](/en/tasks/summarization/)

## Compare models

- [Bloom 1b1 vs GLM-OCR](/en/compare/bloom-1b1-vs-glm-ocr/)
- [NVIDIA Cosmos Reason2 2B vs GLM-OCR](/en/compare/cosmos-reason2-2b-vs-glm-ocr/)
- [DeepSeek R1 0528 vs GLM-5.3](/en/compare/deepseek-r1-0528-vs-glm-5-3/)
- [DeepSeek R1 Distill Qwen 1.5B vs GLM-OCR](/en/compare/deepseek-r1-distill-qwen-1-5b-vs-glm-ocr/)
- [DeepSeek-R1 vs GLM-5.3](/en/compare/deepseek-r1-vs-glm-5-3/)
- [DeepSeek V3 0324 vs GLM-5.3](/en/compare/deepseek-v3-0324-vs-glm-5-3/)