Qwen3.5 397B A17B vs Qwen3 VL Plus

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.45Deepinfra · Sep 21, 2026Not reported
Output priceFrom · USD / 1M tokens$3.00Deepinfra · Sep 21, 2026Not reported
Context windowMaximum documented tokens262K262K
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 →

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

FieldQwen3.5-397B-A17BQwen3 VL Plus
DeveloperQwenQwen
FamilyQwen3 5 397b A17bQwen3 VL
ModelQwen3.5-397B-A17BQwen3 VL Plus
VersionQwen3.5-397B-A17BQwen3 VL Plus
Lifecycleactiveactive
Released2026-02-152025-12-19
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video
Output modalitiesTextText
Context window262K262K
Total parameters403.4BUnknown
Active parameters17BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Alibaba Cloud Model Studio (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, reasoning, structured_outputs, tools, vision

Qwen3.5 397B A17B Capabilities

chatgenerationreasoningtools
Serving providers4
Canonical IDQwen/Qwen3.5-397B-A17B

Qwen3 VL Plus Capabilities

chatgenerationreasoningstructured outputstoolsvision
Serving providers1
Canonical IDqwen/qwen3-vl-plus

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 397B A17B vs Qwen3 VL Plus FAQs

Is Qwen3.5 397B A17B or Qwen3 VL Plus better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Qwen3 VL Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 397B A17B or Qwen3 VL Plus?+

Qwen3.5 397B A17B is $0.45 and Qwen3 VL Plus is $1.00 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric. Qwen3.5 397B A17B is $3.00 and Qwen3 VL Plus is $10.00 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric.

Which has a larger context window, Qwen3.5 397B A17B or Qwen3 VL Plus?+

Neither model has a larger sourced context window in this comparison. Qwen3.5 397B A17B is 262K and Qwen3 VL Plus is 262K.

Which performs better in benchmarks, Qwen3.5 397B A17B or Qwen3 VL Plus?+

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

Can Qwen3.5 397B A17B or Qwen3 VL Plus be self-hosted?+

Qwen3.5 397B A17B is the only model in this pair currently marked as self-hostable. Qwen3.5 397B A17B is open weight; Qwen3 VL Plus is not marked open weight.

Can Qwen3.5 397B A17B and Qwen3 VL Plus understand images?+

Qwen3.5 397B A17B is documented with image input; Qwen3 VL Plus is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3.5 397B A17B or Qwen3 VL Plus?+

Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Qwen3 VL Plus is —.

Do Qwen3.5 397B A17B and Qwen3 VL Plus support reasoning and tool use?+

Qwen3.5 397B A17B: reasoning, tool calling, and image input. Qwen3 VL Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 397B A17B or Qwen3 VL Plus?+

Qwen3.5 397B A17B has 4 sourced provider routes; Qwen3 VL Plus has 1, so Qwen3.5 397B A17B has broader tracked availability.

Which offers better value, Qwen3.5 397B A17B or Qwen3 VL Plus?+

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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