Compare
Qwen3 1.7B vs Qwen3-8B
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.
| Qwen3 1.7B | Qwen3-8B | |
|---|---|---|
| Provider | Alibaba Qwen | Alibaba Qwen |
| Parameters | 2B | 8.19B |
| Context window | Not verified: the provider has not documented this claim. | 33k |
| License | apache-2.0 | apache-2.0 |
| Modalities | text | text |
| Release date | 27 Apr 2025 | 27 Apr 2025 |
| Languages | Not verified: the provider has not documented this claim. | Strong: en, zh Adequate: de, fr, es, it, pt, ru, ja, ko, ar, nl, pl, tr, vi, hi |
| Open weights | yes | yes |
| Tasks | Reasoning, Low cost, Multilingual support | Low cost, Reasoning, Multilingual support, Summarisation |
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
Qwen3 1.7B
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 2B parameters it fits on a single accelerator
Limits
- catalogue only — 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 2B parameters, the weights fit on a single modest accelerator
Tasks
Qwen3-8B
Strengths
- hybrid thinking and non-thinking modes
- Apache-2.0 licence
- runs on a single mid-range GPU
Limits
- 32,768-token native context; longer inputs need YaRN configuration
- behind Qwen3.5 and Qwen3.8 releases on reasoning
- no evaluation has been run by LLM EU
Tasks
Tasks: Reasoning, Low cost, Multilingual support