SmolVLA 450M vs SOMA X v0.3.0
At a Glance
| Compare |  SmolVLA 450MHugging Face LeRobot |  SOMA X v0.3.0NVIDIA |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | Not reported | Not reported |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 2, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | SmolVLA 450M | SOMA-X v0.3.0 |
|---|---|---|
| Developer | Hugging Face LeRobot | NVIDIA |
| Family | SmolVLA | Soma X |
| Model | SmolVLA 450M | SOMA-X v0.3.0 |
| Version | 450M | SOMA-X v0.3.0 |
| Lifecycle | active | active |
| Released | 2025-06-03 | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Robot state | Model-specific input |
| Output modalities | Robot action | 3D |
| Context window | Unknown | Unknown |
| Total parameters | 450M | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | No | No |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | asynchronous-inference, fine-tuning, low-cost-hardware, manipulation | animation, hand-modeling, human-body-modeling, motion-retargeting, pose-inversion, simulation |
| Robotics model type | Vision-language-action model | Unknown |
| Action representation | Continuous action chunks from a flow-matching action expert | Unknown |
| Control architecture | SmolVLM2 backbone with flow-matching action expert | Unknown |
| Inference location | On device | Unknown |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | SO-100, SO-101, LeKiwi, LIBERO Franka | Unknown |
| Training data | Compatibly licensed LeRobot community datasets totaling fewer than 30,000 episodes in the cited release. | Unknown |
SmolVLA 450M Capabilities
SOMA X v0.3.0 Capabilities
Related Comparisons
All robotics comparisons →| A | Pair | B | Context |
|---|---|---|---|
SmolVLA 450MHugging Face LeRobot | vs |  GPT-6 AstraOpenAI | cross-developer peers |
Claude Fable 5.1Anthropic | vs | SmolVLA 450MHugging Face LeRobot | cross-developer peers |
 Gemini 3.1 ProGoogle DeepMind | vs | SmolVLA 450MHugging Face LeRobot | cross-developer peers |
 DeepSeek-V4.1-FlashDeepSeek | vs | SmolVLA 450MHugging Face LeRobot | cross-developer peers |
SmolVLA 450MHugging Face LeRobot | vs | Grok 4.6xAI | cross-developer peers |
SmolVLA 450MHugging Face LeRobot | vs |  Qwen3.8-MaxQwen | cross-developer peers |
SmolVLA 450MHugging Face LeRobot | vs |  Kimi-K3Moonshot AI | cross-developer peers |
 MiniMax-M3MiniMax | vs | SmolVLA 450MHugging Face LeRobot | cross-developer peers |
SmolVLA 450MHugging Face LeRobot | vs |  GLM-5.3Z.ai | cross-developer peers |
SmolVLA 450MHugging Face LeRobot | vs |  Hy4 previewTencent | cross-developer peers |
Seed 2.1 ProByteDance Seed | vs | SmolVLA 450MHugging Face LeRobot | cross-developer peers |
SmolVLA 450MHugging Face LeRobot | vs |  Mistral Large 3Mistral AI | cross-developer peers |
Primary Evidence
Sources and Freshness
Questions
SmolVLA 450M vs SOMA X v0.3.0 FAQs
Is SmolVLA 450M or SOMA X v0.3.0 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both SmolVLA 450M and SOMA X v0.3.0, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, SmolVLA 450M or SOMA X v0.3.0?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, SmolVLA 450M or SOMA X v0.3.0?+
Neither model has a larger sourced context window in this comparison. SmolVLA 450M is — and SOMA X v0.3.0 is —.
Which performs better in benchmarks, SmolVLA 450M or SOMA X v0.3.0?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can SmolVLA 450M or SOMA X v0.3.0 be self-hosted?+
Both models have the same recorded self-hosting status: supported. SmolVLA 450M is open weight; SOMA X v0.3.0 is open weight.
Can SmolVLA 450M and SOMA X v0.3.0 understand images?+
SmolVLA 450M is documented with image input; SOMA X v0.3.0 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, SmolVLA 450M or SOMA X v0.3.0?+
Neither has a larger sourced maximum output. SmolVLA 450M is — and SOMA X v0.3.0 is —.
Do SmolVLA 450M and SOMA X v0.3.0 support reasoning and tool use?+
SmolVLA 450M: image input. SOMA X v0.3.0: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, SmolVLA 450M or SOMA X v0.3.0?+
SmolVLA 450M has 0 sourced provider routes; SOMA X v0.3.0 has 0, a tie.
Which offers better value, SmolVLA 450M or SOMA X v0.3.0?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.