Qwen3-Coder-Next vs Qwen3.8-Max

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-Coder-NextVerified Aug 28, 2026
Qwen · activeQwen3.8-MaxVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldQwen3-Coder-NextQwen3.8-Max
DeveloperQwenQwen
FamilyQwen3 Coder NextQwen3 8 Max
ModelQwen3-Coder-NextQwen3.8-Max
VersionQwen3-Coder-NextQwen3.8-Max
Lifecycleactiveactive
Released2026-02-02Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context window262,1441,000,000
Total parameters79,674,391,2962,400,000,000,000
Active parameters3,000,000,000Unknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessOpenrouter (Standard)Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Openrouter (Standard)
Capabilitieschat, generation, toolsagents, chat, reasoning, structured_outputs, tools, vision

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

Qwen3-Coder-Next Capabilities

chatgenerationtools
Input price$0.12
Output price$0.80
Serving providers1
Canonical IDQwen/Qwen3-Coder-Next

Qwen3.8-Max Capabilities

agentschatreasoningstructured outputstoolsvision
Input price$1.65
Output price$4.951
Serving providers3
Canonical IDqwen/qwen3.8-max

Internal Comparison Graph

Related Comparisons

All text comparisons →
APairBContext
vsfamily variantsimage, text, video
vsfamily variantsimage, text, video
vscross-developer peersimage, text, video
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peerstext
vscross-developer peerstext
vscross-developer peerstext
vsfamily variantstext
vsfamily variantstext
vsfamily variantstext
vscross-developer peerstext

Primary Evidence

Sources and Freshness

Questions

Qwen3-Coder-Next vs Qwen3.8-Max FAQs

Is Qwen3-Coder-Next or Qwen3.8-Max better for coding?+

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

Which is cheaper, Qwen3-Coder-Next or Qwen3.8-Max?+

Qwen3-Coder-Next is $0.12 and Qwen3.8-Max is $1.65 per million tokens, so Qwen3-Coder-Next is cheaper on this metric. Qwen3-Coder-Next is $0.80 and Qwen3.8-Max is $4.951 per million tokens, so Qwen3-Coder-Next is cheaper on this metric.

Which has a larger context window, Qwen3-Coder-Next or Qwen3.8-Max?+

Qwen3.8-Max has the larger sourced context window. Qwen3-Coder-Next supports 262,144 and Qwen3.8-Max supports 1,000,000.

Which performs better in benchmarks, Qwen3-Coder-Next or Qwen3.8-Max?+

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

Can Qwen3-Coder-Next or Qwen3.8-Max be self-hosted?+

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

Can Qwen3-Coder-Next and Qwen3.8-Max understand images?+

Qwen3-Coder-Next is not documented with image input; Qwen3.8-Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3-Coder-Next or Qwen3.8-Max?+

Neither has a larger sourced maximum output. Qwen3-Coder-Next is — and Qwen3.8-Max is 131,072.

Do Qwen3-Coder-Next and Qwen3.8-Max support reasoning and tool use?+

Qwen3-Coder-Next: tool calling. Qwen3.8-Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3-Coder-Next or Qwen3.8-Max?+

Qwen3-Coder-Next has 1 sourced provider route; Qwen3.8-Max has 3, so Qwen3.8-Max has broader tracked availability.

Which offers better value, Qwen3-Coder-Next or Qwen3.8-Max?+

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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