Claude Opus 4.8 vs SmolVLA 450M
At a Glance
| Compare | Claude Opus 4.8Anthropic |  SmolVLA 450MHugging Face LeRobot |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #18 of 4670.1 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #42 of 44$0.604 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #35 of 3840.5 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,000K | Not reported |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | Claude Opus 4.8 | SmolVLA 450M |
|---|---|---|
| Developer | Anthropic | Hugging Face LeRobot |
| Family | Claude 4 8 | SmolVLA |
| Model | Claude Opus 4.8 | SmolVLA 450M |
| Version | Claude Opus 4.8 | 450M |
| Lifecycle | active | active |
| Released | 2026-05-28 | 2025-06-03 |
| Knowledge cutoff | 2026-01-01 | Unknown |
| Input modalities | Text, Image | Text, Image, Robot state |
| Output modalities | Text | Robot action |
| Context window | 1,000K | Unknown |
| Total parameters | Unknown | 450M |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | No |
| Self-hostable | No | Yes |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | asynchronous-inference, fine-tuning, low-cost-hardware, manipulation |
| Robotics model type | Unknown | Vision-language-action model |
| Action representation | Unknown | Continuous action chunks from a flow-matching action expert |
| Control architecture | Unknown | SmolVLM2 backbone with flow-matching action expert |
| Inference location | Unknown | On device |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | Unknown | SO-100, SO-101, LeKiwi, LIBERO Franka |
| Training data | Unknown | Compatibly licensed LeRobot community datasets totaling fewer than 30,000 episodes in the cited release. |
Claude Opus 4.8 Capabilities
SmolVLA 450M Capabilities
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Claude Opus 4.8Anthropic | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Claude Opus 4.8Anthropic | family variantsimage, text |
Claude Opus 4.8Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Opus 4.8Anthropic | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.8 vs SmolVLA 450M FAQs
Is Claude Opus 4.8 or SmolVLA 450M better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.8 and SmolVLA 450M, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.8 or SmolVLA 450M?+
Only Claude Opus 4.8 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.8 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, Claude Opus 4.8 or SmolVLA 450M?+
Neither model has a larger sourced context window in this comparison. Claude Opus 4.8 is 1,000K and SmolVLA 450M is —.
Which performs better in benchmarks, Claude Opus 4.8 or SmolVLA 450M?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 4.8 or SmolVLA 450M be self-hosted?+
SmolVLA 450M is the only model in this pair currently marked as self-hostable. Claude Opus 4.8 is not marked open weight; SmolVLA 450M is open weight.
Can Claude Opus 4.8 and SmolVLA 450M understand images?+
Claude Opus 4.8 is documented with image input; SmolVLA 450M is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.8 or SmolVLA 450M?+
Neither has a larger sourced maximum output. Claude Opus 4.8 is 128K and SmolVLA 450M is —.
Do Claude Opus 4.8 and SmolVLA 450M support reasoning and tool use?+
Claude Opus 4.8: reasoning, tool calling, and image input. SmolVLA 450M: image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.8 or SmolVLA 450M?+
Claude Opus 4.8 has 2 sourced provider routes; SmolVLA 450M has 0, so Claude Opus 4.8 has broader tracked availability.
Which offers better value, Claude Opus 4.8 or SmolVLA 450M?+
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.