OpenVLA 7B vs Grok 4.3

At a Glance

Compare
OpenVLA 7BOpenVLA Research Team
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#40 of 4616.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 11.1–44.4
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#7 of 44$0.028 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#33 of 3846.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 43.3–59.9
Pricing and Limits
Context windowMaximum documented tokensNot reported1,000K
Model facts checkedAug 29, 2026View model evidence →Sep 3, 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

FieldOpenVLA 7BGrok 4.3
DeveloperOpenVLA Research TeamxAI
FamilyOpenVLAGrok 4
ModelOpenVLA 7BGrok 4.3
Version7BGrok 4.3
Lifecycleactiveactive
Released2024-06-132026-06-17
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Robot stateText, Image
Output modalitiesRobot actionText
Context windowUnknown1,000K
Total parameters7BUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsYesNo
API availableNoYes
Self-hostableYesNo
Provider accessUnknownXai (Standard)
Capabilitiescross-embodiment, fine-tuning, generalist-manipulationchat, generation, reasoning, structured_outputs, tools
Robotics model typeVision-language-action modelUnknown
Action representationTokenized actions decoded to continuous robot controlsUnknown
Control architectureFused SigLIP and DINOv2 visual encoder with Llama 2 7B backboneUnknown
Inference locationFlexibleUnknown
Native control rate (Hz)UnknownUnknown
Supported embodimentsWidowX, Google Robot, Franka PandaUnknown
Training data970,000 robot manipulation trajectories from Open X-Embodiment described by the authors.Unknown

OpenVLA 7B Capabilities

cross-embodimentfine-tuninggeneralist-manipulation
Model typeVision-language-action model
InferenceFlexible
Action representationTokenized actions decoded to continuous robot controls
Supported embodiments3
Canonical IDopenvla/openvla-7b

Grok 4.3 Capabilities

chatgenerationreasoningstructured outputstools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDxai/grok-4.3

Primary Evidence

Sources and Freshness

Questions

OpenVLA 7B vs Grok 4.3 FAQs

Is OpenVLA 7B or Grok 4.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both OpenVLA 7B and Grok 4.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, OpenVLA 7B or Grok 4.3?+

Only Grok 4.3 has a directly sourced input price: $1.25 per million tokens. Only Grok 4.3 has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, OpenVLA 7B or Grok 4.3?+

Neither model has a larger sourced context window in this comparison. OpenVLA 7B is — and Grok 4.3 is 1,000K.

Which performs better in benchmarks, OpenVLA 7B or Grok 4.3?+

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

Can OpenVLA 7B or Grok 4.3 be self-hosted?+

OpenVLA 7B is the only model in this pair currently marked as self-hostable. OpenVLA 7B is open weight; Grok 4.3 is not marked open weight.

Can OpenVLA 7B and Grok 4.3 understand images?+

OpenVLA 7B is documented with image input; Grok 4.3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, OpenVLA 7B or Grok 4.3?+

Neither has a larger sourced maximum output. OpenVLA 7B is — and Grok 4.3 is —.

Do OpenVLA 7B and Grok 4.3 support reasoning and tool use?+

OpenVLA 7B: image input. Grok 4.3: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, OpenVLA 7B or Grok 4.3?+

OpenVLA 7B has 0 sourced provider routes; Grok 4.3 has 1, so Grok 4.3 has broader tracked availability.

Which offers better value, OpenVLA 7B or Grok 4.3?+

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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