Gemma 4 E4B vs Hunyuan3D 2.1

At a Glance

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Gemma 4 E4BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.020Deepinfra · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$0.10Deepinfra · Sep 22, 2026Not reported
Context windowMaximum documented tokens131KNot reported
Model facts checkedSep 3, 2026View model evidence →Aug 28, 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 →

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

FieldGemma 4 E4BHunyuan3D-2.1
DeveloperGoogle DeepMindTencent
FamilyGemma 4Hunyuan3d 2 1
ModelGemma 4 E4BHunyuan3D-2.1
VersionGemma 4 E4BHunyuan3D-2.1
Lifecycleactiveactive
Released2026-03-02Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioImage
Output modalitiesText3D
Context window131KUnknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
Licenseapache-2.0other
Open weightsYesYes
API availableYesUnknown
Self-hostableYesYes
Provider accessDeepinfra (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolsgeneration

Gemma 4 E4B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDgoogle/gemma-4-E4B-it

Hunyuan3D 2.1 Capabilities

generation
Serving providers0
Canonical IDtencent/Hunyuan3D-2.1

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E4B vs Hunyuan3D 2.1 FAQs

Is Gemma 4 E4B or Hunyuan3D 2.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E4B and Hunyuan3D 2.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 E4B or Hunyuan3D 2.1?+

Only Gemma 4 E4B has a directly sourced input price: $0.020 per million tokens. Only Gemma 4 E4B has a directly sourced output price: $0.10 per million tokens.

Which has a larger context window, Gemma 4 E4B or Hunyuan3D 2.1?+

Neither model has a larger sourced context window in this comparison. Gemma 4 E4B is 131K and Hunyuan3D 2.1 is —.

Which performs better in benchmarks, Gemma 4 E4B or Hunyuan3D 2.1?+

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

Can Gemma 4 E4B or Hunyuan3D 2.1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Gemma 4 E4B is open weight; Hunyuan3D 2.1 is open weight.

Can Gemma 4 E4B and Hunyuan3D 2.1 understand images?+

Gemma 4 E4B is documented with image input; Hunyuan3D 2.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E4B or Hunyuan3D 2.1?+

Neither has a larger sourced maximum output. Gemma 4 E4B is — and Hunyuan3D 2.1 is —.

Do Gemma 4 E4B and Hunyuan3D 2.1 support reasoning and tool use?+

Gemma 4 E4B: reasoning, tool calling, and image input. Hunyuan3D 2.1: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E4B or Hunyuan3D 2.1?+

Gemma 4 E4B has 2 sourced provider routes; Hunyuan3D 2.1 has 0, so Gemma 4 E4B has broader tracked availability.

Which offers better value, Gemma 4 E4B or Hunyuan3D 2.1?+

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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