Model comparison
SmolLM3-3B vs GPT-5
Capability radar, value bars, and side-by-side posture.
SmolLM3-3B
Not scored
value score
GPT-5
94
value score
SmolLM3-3B ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | SmolLM3-3B | GPT-5 |
|---|---|---|
| Developer | HuggingFaceTB | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | SmolLM3-3B is a 3-billion-parameter open-weight language model from Hugging Face's Smol models research line, designed for reasoning, multilingual use across six languages, and long-context tasks up to 128k tokens. It emphasizes full openness — releasing weights and training details — alongside a hybrid reasoning mode and instruct tuning trained on an 11.2-trillion-token curriculum. | OpenAI frontier multimodal model. |