Qwen3.8 Max vs Hy4 preview

Model Markets Rankings

Intelligence, Cost, and Efficiency

All rankings →
RankingQwen3.8-MaxHy4 preview
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 · previewHy4 previewVerified Sep 2, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldQwen3.8-MaxHy4 preview
DeveloperQwenTencent
FamilyQwen3 8 MaxHy4
ModelQwen3.8-MaxHy4 preview
VersionQwen3.8-MaxHy4 preview
Lifecycleactivepreview
ReleasedUnknown2026-08-28
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText
Output modalitiesTextText
Context window1,000K1,000K
Total parameters2.4T770B
Active parametersUnknown49B
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAlibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard)Openrouter (Standard)
Capabilitiesagents, chat, reasoning, structured_outputs, tools, visionchat, generation, reasoning, tools

14 comparable fields · 11 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

Hy4 preview Capabilities

chatgenerationreasoningtools
Input price$0.834
Output price$2.501
Serving providers1
Canonical IDtencent/Hy4-preview

Internal Comparison Graph

Related Comparisons

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APairBContext
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Primary Evidence

Sources and Freshness

Questions

Qwen3.8 Max vs Hy4 preview FAQs

Is Qwen3.8 Max or Hy4 preview better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 Max and Hy4 preview, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 Max or Hy4 preview?+

Qwen3.8 Max is $1.65 and Hy4 preview is $0.834 per million tokens, so Hy4 preview is cheaper on this metric. Qwen3.8 Max is $4.951 and Hy4 preview is $2.501 per million tokens, so Hy4 preview is cheaper on this metric.

Which has a larger context window, Qwen3.8 Max or Hy4 preview?+

Neither model has a larger sourced context window in this comparison. Qwen3.8 Max is 1,000K and Hy4 preview is 1,000K.

Which performs better in benchmarks, Qwen3.8 Max or Hy4 preview?+

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 Hy4 preview be self-hosted?+

Hy4 preview is the only model in this pair currently marked as self-hostable. Qwen3.8 Max is not marked open weight; Hy4 preview is open weight.

Can Qwen3.8 Max and Hy4 preview understand images?+

Qwen3.8 Max is documented with image input; Hy4 preview is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.8 Max or Hy4 preview?+

Neither has a larger sourced maximum output. Qwen3.8 Max is 131K and Hy4 preview is —.

Do Qwen3.8 Max and Hy4 preview support reasoning and tool use?+

Qwen3.8 Max: reasoning, tool calling, and image input. Hy4 preview: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 Max or Hy4 preview?+

Qwen3.8 Max has 4 sourced provider routes; Hy4 preview has 1, so Qwen3.8 Max has broader tracked availability.

Which offers better value, Qwen3.8 Max or Hy4 preview?+

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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