Nova 2 Lite vs Helix 02

At a Glance

Compare
Helix 02Figure
Pricing and Limits
Context windowMaximum documented tokens1,000KNot reported
Model facts checkedAug 29, 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

FieldNova 2 LiteHelix 02
DeveloperAmazonFigure
FamilyNova 2Helix
ModelNova 2 LiteHelix 02
VersionNova 2 Lite02
Lifecycleactiveactive
Released2025-12-022026-01-05
Knowledge cutoff2025-10-01Unknown
Input modalitiesText, Image, Video, DocumentText, Image, Robot state
Output modalitiesTextRobot action
Context window1,000KUnknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesNo
Self-hostableNoNo
Provider accessAmazon Bedrock (Standard)Unknown
Capabilitieschat, generation, prompt-caching, tools, visiondexterous-manipulation, long-horizon-control, tactile-control, whole-body-control
Robotics model typeUnknownVision-language-action model
Action representationUnknownFull-body joint targets
Control architectureUnknownSemantic reasoning, visuomotor policy, and kHz whole-body controller
Inference locationUnknownOn device
Native control rate (Hz)UnknownUnknown
Supported embodimentsUnknownFigure 03
Training dataUnknownFigure reports more than 1,000 hours of human motion data plus sim-to-real reinforcement learning for its whole-body controller.

Nova 2 Lite Capabilities

chatgenerationprompt-cachingtoolsvision
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDamazon/nova-2-lite-v1:0

Helix 02 Capabilities

dexterous-manipulationlong-horizon-controltactile-controlwhole-body-control
Model typeVision-language-action model
InferenceOn device
Action representationFull-body joint targets
Supported embodiments1
Canonical IDfigure/helix-02

Primary Evidence

Sources and Freshness

Questions

Nova 2 Lite vs Helix 02 FAQs

Is Nova 2 Lite or Helix 02 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Nova 2 Lite and Helix 02, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Nova 2 Lite or Helix 02?+

Only Nova 2 Lite has a directly sourced input price: $0.30 per million tokens. Only Nova 2 Lite has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, Nova 2 Lite or Helix 02?+

Neither model has a larger sourced context window in this comparison. Nova 2 Lite is 1,000K and Helix 02 is —.

Which performs better in benchmarks, Nova 2 Lite or Helix 02?+

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

Can Nova 2 Lite or Helix 02 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Nova 2 Lite is not marked open weight; Helix 02 is not marked open weight.

Can Nova 2 Lite and Helix 02 understand images?+

Nova 2 Lite is documented with image input; Helix 02 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Nova 2 Lite or Helix 02?+

Neither has a larger sourced maximum output. Nova 2 Lite is 66K and Helix 02 is —.

Do Nova 2 Lite and Helix 02 support reasoning and tool use?+

Nova 2 Lite: tool calling and image input. Helix 02: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Nova 2 Lite or Helix 02?+

Nova 2 Lite has 1 sourced provider route; Helix 02 has 0, so Nova 2 Lite has broader tracked availability.

Which offers better value, Nova 2 Lite or Helix 02?+

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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