DeepSeek V4 Pro vs SmolVLA 450M

At a Glance

Compare
SmolVLA 450MHugging Face LeRobot
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#10 of 44$0.054 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Context windowMaximum documented tokens1,049KNot reported
Model facts checkedAug 28, 2026View model evidence →Aug 29, 2026View model evidence →
Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldDeepSeek-V4-ProSmolVLA 450M
DeveloperDeepSeekHugging Face LeRobot
FamilyDeepseek V4 ProSmolVLA
ModelDeepSeek-V4-ProSmolVLA 450M
VersionDeepSeek-V4-Pro450M
Lifecycleactiveactive
Released2026-04-242025-06-03
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Robot state
Output modalitiesTextRobot action
Context window1,049KUnknown
Total parameters1.6T450M
Active parameters49BUnknown
Licensemitapache-2.0
Open weightsYesYes
API availableYesNo
Self-hostableYesYes
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoningasynchronous-inference, fine-tuning, low-cost-hardware, manipulation
Robotics model typeUnknownVision-language-action model
Action representationUnknownContinuous action chunks from a flow-matching action expert
Control architectureUnknownSmolVLM2 backbone with flow-matching action expert
Inference locationUnknownOn device
Native control rate (Hz)UnknownUnknown
Supported embodimentsUnknownSO-100, SO-101, LeKiwi, LIBERO Franka
Training dataUnknownCompatibly licensed LeRobot community datasets totaling fewer than 30,000 episodes in the cited release.

DeepSeek V4 Pro Capabilities

chatgenerationreasoning
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDdeepseek-ai/DeepSeek-V4-Pro

SmolVLA 450M Capabilities

asynchronous-inferencefine-tuninglow-cost-hardwaremanipulation
Model typeVision-language-action model
InferenceOn device
Action representationContinuous action chunks from a flow-matching action expert
Supported embodiments4
Canonical IDlerobot/smolvla_base

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Pro vs SmolVLA 450M FAQs

Is DeepSeek V4 Pro or SmolVLA 450M better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and SmolVLA 450M, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Pro or SmolVLA 450M?+

Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.

Which has a larger context window, DeepSeek V4 Pro or SmolVLA 450M?+

Neither model has a larger sourced context window in this comparison. DeepSeek V4 Pro is 1,049K and SmolVLA 450M is —.

Which performs better in benchmarks, DeepSeek V4 Pro or SmolVLA 450M?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can DeepSeek V4 Pro or SmolVLA 450M be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; SmolVLA 450M is open weight.

Can DeepSeek V4 Pro and SmolVLA 450M understand images?+

DeepSeek V4 Pro is not documented with image input; SmolVLA 450M is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4 Pro or SmolVLA 450M?+

Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and SmolVLA 450M is —.

Do DeepSeek V4 Pro and SmolVLA 450M support reasoning and tool use?+

DeepSeek V4 Pro: reasoning. SmolVLA 450M: image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Pro or SmolVLA 450M?+

DeepSeek V4 Pro has 6 sourced provider routes; SmolVLA 450M has 0, so DeepSeek V4 Pro has broader tracked availability.

Which offers better value, DeepSeek V4 Pro 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.

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