Gemma 4 E4B vs Sonar Deep Research

At a Glance

Compare
Gemma 4 E4BGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.020Deepinfra ↗ · Sep 24, 2026$2.00Openrouter ↗ · Oct 19, 2026
Output priceFrom · USD / 1M tokens$0.10Deepinfra ↗ · Sep 24, 2026$8.00Openrouter ↗ · Oct 19, 2026
Context windowMaximum documented tokens131K128K
Model facts checkedSep 3, 2026View model evidence →Aug 29, 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 E4BSonar Deep Research
DeveloperGoogle DeepMindPerplexity
FamilyGemma 4Sonar
ModelGemma 4 E4BSonar Deep Research
VersionGemma 4 E4BSonar Deep Research
Lifecycleactiveactive
Released2026-03-02Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText
Output modalitiesTextText
Context window131K128K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Together Ai (Standard)Openrouter (Standard), Perplexity (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, citations, reasoning, research, search

Gemma 4 E4B Capabilities

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

Sonar Deep Research Capabilities

chatcitationsreasoningresearchsearch
Serving providers2
Canonical IDperplexity/sonar-deep-research

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E4B vs Sonar Deep Research FAQs

Is Gemma 4 E4B or Sonar Deep Research better for coding?+

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

Which is cheaper, Gemma 4 E4B or Sonar Deep Research?+

Gemma 4 E4B is $0.020 and Sonar Deep Research is $2.00 per million tokens, so Gemma 4 E4B is cheaper on this metric. Gemma 4 E4B is $0.10 and Sonar Deep Research is $8.00 per million tokens, so Gemma 4 E4B is cheaper on this metric.

Which has a larger context window, Gemma 4 E4B or Sonar Deep Research?+

Gemma 4 E4B has the larger sourced context window. Gemma 4 E4B supports 131,072 tokens and Sonar Deep Research supports 128,000 tokens.

Which performs better in benchmarks, Gemma 4 E4B or Sonar Deep Research?+

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 Sonar Deep Research be self-hosted?+

Gemma 4 E4B is documented as self-hostable; Sonar Deep Research is documented as not self-hostable. Gemma 4 E4B is open weight; Sonar Deep Research is not marked open weight.

Can Gemma 4 E4B and Sonar Deep Research understand images?+

Gemma 4 E4B is documented with image input; Sonar Deep Research is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 E4B or Sonar Deep Research?+

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

Do Gemma 4 E4B and Sonar Deep Research support reasoning and tool use?+

Gemma 4 E4B: reasoning, tool calling, and image input. Sonar Deep Research: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E4B or Sonar Deep Research?+

Gemma 4 E4B has 2 sourced provider routes; Sonar Deep Research has 2, a tie.

Which offers better value, Gemma 4 E4B or Sonar Deep Research?+

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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