Qwen3.8 Max vs Hunyuan3D 2.1

Model Markets Rankings

Intelligence, Cost, and Efficiency

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RankingQwen3.8-MaxHunyuan3D-2.1
CostLower is better · Published-token output estimate#19 of 36$0.107 per LiveBench caseUnrankedNot in the 36-model eligible cohort

Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Qwen · activeQwen3.8 MaxVerified Aug 29, 2026
Tencent · activeHunyuan3D 2.1Verified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldQwen3.8-MaxHunyuan3D-2.1
DeveloperQwenTencent
FamilyQwen3 8 MaxHunyuan3d 2 1
ModelQwen3.8-MaxHunyuan3D-2.1
VersionQwen3.8-MaxHunyuan3D-2.1
Lifecycleactiveactive
ReleasedUnknownUnknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoImage
Output modalitiesText3D
Context window1,000KUnknown
Total parameters2.4TUnknown
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessAlibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard)Unknown
Capabilitiesagents, chat, reasoning, structured_outputs, tools, visiongeneration

10 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Qwen3.8 Max Capabilities

agentschatreasoningstructured outputstoolsvision
Input price$1.65
Output price$4.951
Serving providers4
Canonical IDqwen/qwen3.8-max

Hunyuan3D 2.1 Capabilities

generation
Input price
Output price
Serving providers0
Canonical IDtencent/Hunyuan3D-2.1

Internal Comparison Graph

Related Comparisons

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APairBContext
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vscross-developer peersimage, text, video
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Primary Evidence

Sources and Freshness

Questions

Qwen3.8 Max vs Hunyuan3D 2.1 FAQs

Is Qwen3.8 Max or Hunyuan3D 2.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 Max and Hunyuan3D 2.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 Max or Hunyuan3D 2.1?+

Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.

Which has a larger context window, Qwen3.8 Max or Hunyuan3D 2.1?+

Neither model has a larger sourced context window in this comparison. Qwen3.8 Max is 1,000K and Hunyuan3D 2.1 is —.

Which performs better in benchmarks, Qwen3.8 Max 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 Qwen3.8 Max or Hunyuan3D 2.1 be self-hosted?+

Hunyuan3D 2.1 is the only model in this pair currently marked as self-hostable. Qwen3.8 Max is not marked open weight; Hunyuan3D 2.1 is open weight.

Can Qwen3.8 Max and Hunyuan3D 2.1 understand images?+

Qwen3.8 Max 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, Qwen3.8 Max or Hunyuan3D 2.1?+

Neither has a larger sourced maximum output. Qwen3.8 Max is 131K and Hunyuan3D 2.1 is —.

Do Qwen3.8 Max and Hunyuan3D 2.1 support reasoning and tool use?+

Qwen3.8 Max: 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, Qwen3.8 Max or Hunyuan3D 2.1?+

Qwen3.8 Max has 4 sourced provider routes; Hunyuan3D 2.1 has 0, so Qwen3.8 Max has broader tracked availability.

Which offers better value, Qwen3.8 Max 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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