Gemma 4 E4B vs Jev

At a Glance

Compare
Gemma 4 E4BGoogle DeepMind
JevTypeSafe
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.020Deepinfra · Sep 21, 2026$0.042TypeSafe · Sep 17, 2026
Output priceFrom · USD / 1M tokens$0.10Deepinfra · Sep 21, 2026$0.000TypeSafe · Sep 17, 2026
Context windowMaximum documented tokens131K64K
Model facts checkedSep 3, 2026View model evidence →Sep 17, 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 E4BJev
DeveloperGoogle DeepMindTypeSafe
FamilyGemma 4Jev
ModelGemma 4 E4BJev
VersionGemma 4 E4BJev
Lifecycleactiveactive
Released2026-03-022026-09-15
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, AudioText, Model-specific input
Output modalitiesTextModel-specific input
Context window131K64K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Together Ai (Standard)TypeSafe (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolscalibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions
Maximum Choice cardinalityUnknown255 options
Default request rate limitUnknown1200 requests per minute
State plus longest question limitUnknown32000 tokens
Combined state and questions limitUnknown64000 tokens
Default token rate limitUnknown250000 tokens per second

Gemma 4 E4B Capabilities

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

Jev Capabilities

calibrated-confidenceparallel-evaluationstructured outputstyped-decisions
Serving providers1
Canonical IDtypesafe/jev

Primary Evidence

Sources and Freshness

Questions

Gemma 4 E4B vs Jev FAQs

Is Gemma 4 E4B or Jev better for coding?+

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

Which is cheaper, Gemma 4 E4B or Jev?+

Gemma 4 E4B is $0.020 and Jev is $0.042 per million tokens, so Gemma 4 E4B is cheaper on this metric. Gemma 4 E4B is $0.10 and Jev is $0.000 per million tokens, so Jev is cheaper on this metric.

Which has a larger context window, Gemma 4 E4B or Jev?+

Gemma 4 E4B has the larger sourced context window. Gemma 4 E4B supports 131K and Jev supports 64K.

Which performs better in benchmarks, Gemma 4 E4B or Jev?+

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 Jev be self-hosted?+

Gemma 4 E4B is the only model in this pair currently marked as self-hostable. Gemma 4 E4B is open weight; Jev is not marked open weight.

Can Gemma 4 E4B and Jev understand images?+

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

Which can generate longer answers, Gemma 4 E4B or Jev?+

Neither has a larger sourced maximum output. Gemma 4 E4B is — and Jev is —.

Do Gemma 4 E4B and Jev support reasoning and tool use?+

Gemma 4 E4B: reasoning, tool calling, and image input. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 E4B or Jev?+

Gemma 4 E4B has 2 sourced provider routes; Jev has 1, so Gemma 4 E4B has broader tracked availability.

Which offers better value, Gemma 4 E4B or Jev?+

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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