Gemma 4 E4B vs Muse Glimmer 30B

At a Glance

Compare
Gemma 4 E4BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.020Deepinfra · Sep 21, 2026$0.30Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$0.10Deepinfra · Sep 21, 2026$1.20Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens131K131K
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

FieldGemma 4 E4BMuse Glimmer 30B
DeveloperGoogle DeepMindMeta
FamilyGemma 4Muse Glimmer
ModelGemma 4 E4BMuse Glimmer 30B
VersionGemma 4 E4BMuse Glimmer 30B
Lifecycleactiveactive
Released2026-03-022026-08-09
Knowledge cutoffUnknown2026-01-04
Input modalitiesText, Image, Video, AudioText, Image
Output modalitiesTextText
Context window131K131K
Total parametersUnknown29.8B
Active parametersUnknownUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Together Ai (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, structured_outputs, tools

Gemma 4 E4B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDgoogle/gemma-4-E4B-it

Muse Glimmer 30B Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E4B vs Muse Glimmer 30B FAQs

Is Gemma 4 E4B or Muse Glimmer 30B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E4B and Muse Glimmer 30B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 E4B or Muse Glimmer 30B?+

Gemma 4 E4B is $0.020 and Muse Glimmer 30B is $0.30 per million tokens, so Gemma 4 E4B is cheaper on this metric. Gemma 4 E4B is $0.10 and Muse Glimmer 30B is $1.20 per million tokens, so Gemma 4 E4B is cheaper on this metric.

Which has a larger context window, Gemma 4 E4B or Muse Glimmer 30B?+

Neither model has a larger sourced context window in this comparison. Gemma 4 E4B is 131K and Muse Glimmer 30B is 131K.

Which performs better in benchmarks, Gemma 4 E4B or Muse Glimmer 30B?+

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

Can Gemma 4 E4B or Muse Glimmer 30B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Gemma 4 E4B is open weight; Muse Glimmer 30B is open weight.

Can Gemma 4 E4B and Muse Glimmer 30B understand images?+

Gemma 4 E4B is documented with image input; Muse Glimmer 30B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E4B or Muse Glimmer 30B?+

Neither has a larger sourced maximum output. Gemma 4 E4B is — and Muse Glimmer 30B is —.

Do Gemma 4 E4B and Muse Glimmer 30B support reasoning and tool use?+

Gemma 4 E4B: reasoning, tool calling, and image input. Muse Glimmer 30B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E4B or Muse Glimmer 30B?+

Gemma 4 E4B has 2 sourced provider routes; Muse Glimmer 30B has 3, so Muse Glimmer 30B has broader tracked availability.

Which offers better value, Gemma 4 E4B or Muse Glimmer 30B?+

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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