Title: ERNIE 4.5 0.3B vs ERNIE 4.5 21B-A3B Thinking: Parameters %E2%80%94 LLM EU
Canonical: https://llmeu.com/en/compare/ernie-4-5-0-3b-vs-ernie-4-5-21b-a3b-thinking/
Markdown mirror: https://llmeu.com/en/compare/ernie-4-5-0-3b-vs-ernie-4-5-21b-a3b-thinking.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# ERNIE 4.5 0.3B vs ERNIE 4.5 21B-A3B Thinking

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

### [ERNIE 4.5 0.3B](/en/models/ernie-4-5-0-3b/)

#### Strengths

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 0.4B parameters it fits on a single accelerator
- the model page lists en

#### Limits

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 0.4B parameters, the weights fit on a single modest accelerator
- a base checkpoint: it answers nothing useful without fine-tuning or a task head

#### Tasks

[Low cost](/en/tasks/cheap/), [Multilingual support](/en/tasks/multilingual-support/)

### [ERNIE 4.5 21B-A3B Thinking](/en/models/ernie-4-5-21b-a3b-thinking/)

#### Strengths

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository

#### Limits

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 21.8B parameters, self-hosting needs a single accelerator with enough memory for the weights

#### Tasks

[Reasoning](/en/tasks/reasoning/), [Low cost](/en/tasks/cheap/)

**Tasks:** [Low cost](/en/tasks/cheap/)

## Compare models

- [Bloom 560M vs ERNIE 4.5 0.3B](/en/compare/bloom-560m-vs-ernie-4-5-0-3b/)
- [Bloomz 560M vs ERNIE 4.5 0.3B](/en/compare/bloomz-560m-vs-ernie-4-5-0-3b/)
- [DeepSeek Coder V2 Lite Instruct vs ERNIE 4.5 21B-A3B Thinking](/en/compare/deepseek-coder-v2-lite-instruct-vs-ernie-4-5-21b-a3b-thinking/)
- [DeepSeek R1 Distill Qwen 14B vs ERNIE 4.5 21B-A3B Thinking](/en/compare/deepseek-r1-distill-qwen-14b-vs-ernie-4-5-21b-a3b-thinking/)
- [DeepSeek-R1-Distill-Qwen-32B vs ERNIE 4.5 21B-A3B Thinking](/en/compare/deepseek-r1-distill-qwen-32b-vs-ernie-4-5-21b-a3b-thinking/)
- [DeepSeek V2 Lite vs ERNIE 4.5 21B-A3B Thinking](/en/compare/deepseek-v2-lite-vs-ernie-4-5-21b-a3b-thinking/)