Model comparison
SmolLM3-3B vs Claude 4 Sonnet
Capability radar, value bars, and side-by-side posture.
SmolLM3-3B
Not scored
value score
Claude 4 Sonnet
91
value score
SmolLM3-3B ctx
—
Claude 4 Sonnet ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Claude 4 Sonnet91
Attribute tape
| Field | SmolLM3-3B | Claude 4 Sonnet |
|---|---|---|
| Developer | HuggingFaceTB | Anthropic |
| Context | — | 200K |
| Modalities | Text, Code, Image | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | $3/1M in · $15/1M out |
| Value score | — | 91 |
| 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. | Balanced Claude model for coding and agents. |