Gemma 4 E2B vs Muse Spark 1.1

At a Glance

Compare
Gemma 4 E2BGoogle DeepMind
Pricing and Limits
Context windowMaximum documented tokens131K1,000K
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 E2BMuse Spark 1.1
DeveloperGoogle DeepMindMeta
FamilyGemma 4Muse Spark
ModelGemma 4 E2BMuse Spark 1.1
VersionGemma 4 E2BMuse Spark 1.1
Lifecycleactivepreview
Released2026-03-022026-07-09
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText, Image, Video, Audio
Output modalitiesTextText
Context window131K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessTogether Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, computer-use, generation, reasoning, research, structured_outputs, tools

Gemma 4 E2B Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDgoogle/gemma-4-E2B-it

Muse Spark 1.1 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Serving providers0
Canonical IDmeta-llama/muse-spark-1.1

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E2B vs Muse Spark 1.1 FAQs

Is Gemma 4 E2B or Muse Spark 1.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 E2B and Muse Spark 1.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 E2B or Muse Spark 1.1?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Gemma 4 E2B or Muse Spark 1.1?+

Muse Spark 1.1 has the larger sourced context window. Gemma 4 E2B supports 131,072 tokens and Muse Spark 1.1 supports 1,000,000 tokens.

Which performs better in benchmarks, Gemma 4 E2B or Muse Spark 1.1?+

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

Can Gemma 4 E2B or Muse Spark 1.1 be self-hosted?+

Gemma 4 E2B is documented as self-hostable; Muse Spark 1.1 is documented as not self-hostable. Gemma 4 E2B is open weight; Muse Spark 1.1 is not marked open weight.

Can Gemma 4 E2B and Muse Spark 1.1 understand images?+

Gemma 4 E2B is documented with image input; Muse Spark 1.1 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E2B or Muse Spark 1.1?+

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Do Gemma 4 E2B and Muse Spark 1.1 support reasoning and tool use?+

Gemma 4 E2B: reasoning, tool calling, and image input. Muse Spark 1.1: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E2B or Muse Spark 1.1?+

Gemma 4 E2B has 1 sourced provider route; Muse Spark 1.1 has 0, so Gemma 4 E2B has broader tracked availability.

Which offers better value, Gemma 4 E2B or Muse Spark 1.1?+

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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