Muse Glimmer 30B vs Qwen3 VL Plus

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokens$0.30Deepinfra · Sep 22, 2026Not reported
Output priceFrom · USD / 1M tokens$1.20Deepinfra · Sep 22, 2026Not reported
Context windowMaximum documented tokens131K262K
Model facts checkedSep 3, 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

FieldMuse Glimmer 30BQwen3 VL Plus
DeveloperMetaQwen
FamilyMuse GlimmerQwen3 VL
ModelMuse Glimmer 30BQwen3 VL Plus
VersionMuse Glimmer 30BQwen3 VL Plus
Lifecycleactiveactive
Released2026-08-092025-12-19
Knowledge cutoff2026-01-04Unknown
Input modalitiesText, ImageText, Image, Video
Output modalitiesTextText
Context window131K262K
Total parameters29.8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard)Alibaba Cloud Model Studio (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools, vision

Muse Glimmer 30B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers3
Canonical IDmeta-models/Muse-Glimmer-30B

Qwen3 VL Plus Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Muse Glimmer 30B vs Qwen3 VL Plus FAQs

Is Muse Glimmer 30B or Qwen3 VL Plus better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Muse Glimmer 30B and Qwen3 VL Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Muse Glimmer 30B or Qwen3 VL Plus?+

Muse Glimmer 30B is $0.30 and Qwen3 VL Plus is $1.00 per million tokens, so Muse Glimmer 30B is cheaper on this metric. Muse Glimmer 30B is $1.20 and Qwen3 VL Plus is $10.00 per million tokens, so Muse Glimmer 30B is cheaper on this metric.

Which has a larger context window, Muse Glimmer 30B or Qwen3 VL Plus?+

Qwen3 VL Plus has the larger sourced context window. Muse Glimmer 30B supports 131K and Qwen3 VL Plus supports 262K.

Which performs better in benchmarks, Muse Glimmer 30B 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 Muse Glimmer 30B or Qwen3 VL Plus be self-hosted?+

Muse Glimmer 30B is the only model in this pair currently marked as self-hostable. Muse Glimmer 30B is open weight; Qwen3 VL Plus is not marked open weight.

Can Muse Glimmer 30B and Qwen3 VL Plus understand images?+

Muse Glimmer 30B 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, Muse Glimmer 30B or Qwen3 VL Plus?+

Neither has a larger sourced maximum output. Muse Glimmer 30B is — and Qwen3 VL Plus is —.

Do Muse Glimmer 30B and Qwen3 VL Plus support reasoning and tool use?+

Muse Glimmer 30B: 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, Muse Glimmer 30B or Qwen3 VL Plus?+

Muse Glimmer 30B has 3 sourced provider routes; Qwen3 VL Plus has 1, so Muse Glimmer 30B has broader tracked availability.

Which offers better value, Muse Glimmer 30B 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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