Hunyuan3D 2.1 vs Grok Build 0.1

At a Glance

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Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#1 of 44$0.0020 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$2.00Xai · Sep 3, 2026
Context windowMaximum documented tokensNot reported256K
Model facts checkedAug 28, 2026View model evidence →Sep 3, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

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

FieldHunyuan3D-2.1Grok Build 0.1
DeveloperTencentxAI
FamilyHunyuan3d 2 1Grok Build
ModelHunyuan3D-2.1Grok Build 0.1
VersionHunyuan3D-2.1Grok Build 0.1
Lifecycleactivepreview
ReleasedUnknown2026-05-29
Knowledge cutoffUnknownUnknown
Input modalitiesImageText, Image
Output modalities3DText
Context windowUnknown256K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownXai (Standard)
Capabilitiesgenerationchat, generation, reasoning, structured_outputs, tools

Hunyuan3D 2.1 Capabilities

generation
Serving providers0
Canonical IDtencent/Hunyuan3D-2.1

Grok Build 0.1 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDxai/grok-build-0.1

Primary Evidence

Sources and Freshness

Questions

Hunyuan3D 2.1 vs Grok Build 0.1 FAQs

Is Hunyuan3D 2.1 or Grok Build 0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Hunyuan3D 2.1 and Grok Build 0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Hunyuan3D 2.1 or Grok Build 0.1?+

Only Grok Build 0.1 has a directly sourced input price: $1.00 per million tokens. Only Grok Build 0.1 has a directly sourced output price: $2.00 per million tokens.

Which has a larger context window, Hunyuan3D 2.1 or Grok Build 0.1?+

Neither model has a larger sourced context window in this comparison. Hunyuan3D 2.1 is — and Grok Build 0.1 is 256K.

Which performs better in benchmarks, Hunyuan3D 2.1 or Grok Build 0.1?+

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

Can Hunyuan3D 2.1 or Grok Build 0.1 be self-hosted?+

Hunyuan3D 2.1 is the only model in this pair currently marked as self-hostable. Hunyuan3D 2.1 is open weight; Grok Build 0.1 is not marked open weight.

Can Hunyuan3D 2.1 and Grok Build 0.1 understand images?+

Hunyuan3D 2.1 is documented with image input; Grok Build 0.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Hunyuan3D 2.1 or Grok Build 0.1?+

Neither has a larger sourced maximum output. Hunyuan3D 2.1 is — and Grok Build 0.1 is —.

Do Hunyuan3D 2.1 and Grok Build 0.1 support reasoning and tool use?+

Hunyuan3D 2.1: image input. Grok Build 0.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Hunyuan3D 2.1 or Grok Build 0.1?+

Hunyuan3D 2.1 has 0 sourced provider routes; Grok Build 0.1 has 1, so Grok Build 0.1 has broader tracked availability.

Which offers better value, Hunyuan3D 2.1 or Grok Build 0.1?+

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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