AI model comparison

google/gemma-4-12B-it vs google/gemma-4-E4B-it

Compare pricing, context limits, supported inputs and deployment options to choose a model for your workflow.

google/gemma-4-12B-it from google lists 262.14K context, 32.77K maximum output, $0.06 input per 1M tokens, $0.30 output per 1M tokens. google/gemma-4-E4B-it from google lists 131.07K context, 16.38K maximum output, $0.04 input per 1M tokens, $0.20 output per 1M tokens. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

google

google/gemma-4-12B-it

google/gemma-4-12B-it is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.

Context
262.14K
Max output
32.77K
Input / 1M tokens
$0.06
Output / 1M tokens
$0.30

Accepts

  • Text input
  • Image input
  • Audio input
  • Video input

Produces

  • Text output
  • Image output
  • Audio output
  • Video output
VS

google

google/gemma-4-E4B-it

google/gemma-4-E4B-it is a source-linked Hugging Face repository assigned to Any-to-any. Its recorded task interface accepts text, image, audio, video and produces text, image, audio, video.

Context
131.07K
Max output
16.38K
Input / 1M tokens
$0.04
Output / 1M tokens
$0.20

Accepts

  • Text input
  • Image input
  • Audio input
  • Video input

Produces

  • Text output
  • Image output
  • Audio output
  • Video output

At a glance

Key differences

Compare the available figures below, then try both models on the work you need to do.

google/gemma-4-12B-it

  • Context capacity: 262.14K
  • Maximum output: 32.77K

google/gemma-4-E4B-it

  • Input price: $0.04
  • Output price: $0.20

Context capacity

Higher listed limit

google/gemma-4-12B-it:262.14K

google/gemma-4-E4B-it:131.07K

google/gemma-4-12B-it

Maximum output

Higher listed limit

google/gemma-4-12B-it:32.77K

google/gemma-4-E4B-it:16.38K

google/gemma-4-12B-it

Input price

Lower listed token rate

google/gemma-4-12B-it:$0.06

google/gemma-4-E4B-it:$0.04

google/gemma-4-E4B-it

Output price

Lower listed token rate

google/gemma-4-12B-it:$0.30

google/gemma-4-E4B-it:$0.20

google/gemma-4-E4B-it

Specifications

Pricing, limits and capabilities

Specifications for google/gemma-4-12B-it and google/gemma-4-E4B-it. Higher limits and lower prices describe these figures only.
Specificationgoogle/gemma-4-12B-itgoogle/gemma-4-E4B-it
Providergooglegoogle
Listed pricing routegooglegoogle
Model family——
Accepted inputstext, image, audio, videotext, image, audio, video
Produced outputstext, image, audio, videotext, image, audio, video
Context window262.14KHigher131.07K
Max output32.77KHigher16.38K
Input price / 1M$0.06$0.04Lower
Output price / 1M$0.30$0.20Lower
Reasoning modeNot documentedNot documented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputDocumentedDocumented
Structured outputNot documentedNot documented
LicenseNot documentedNot documented

Workload guidance

Which model should you choose?

Consider google/gemma-4-12B-it if you need larger context or larger maximum output. Consider google/gemma-4-E4B-it if you need a lower listed input rate or a lower listed output rate. Test both on the same representative examples and judge the output against your acceptance criteria. Include tool failures, retries and the time to a completed task.

Documentation and model profiles

Explore each model’s features, API requirements and licence terms in the sources below.

Questions people ask

It brings together documented inputs and outputs, token limits, deployment terms and available pricing. When both models have source-linked, verified results on a shared benchmark, those results are shown with their individual sources. The comparison is a starting point for evaluating your own workload.

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