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AI model comparison

DeepSeek V4 Pro vs google/gemma-4-12B-it

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

DeepSeek V4 Pro from DeepSeek lists 1M context, 384K maximum output, $0.435 input per 1M tokens, $0.87 output per 1M tokens. 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. Compare the inputs, outputs and deployment options below to see which fits your workflow.

Side-by-sideCapabilities and practical differences

DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro from DeepSeek: Open MoE flagship with million-token context for coding and long agent runs.

Context
1M
Max output
384K
Input / 1M tokens
$0.435
Output / 1M tokens
$0.87

Accepts

  • Text input

Produces

  • Text output
Full model profileapi-docs.deepseek.com ↗
VS

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
Full model profileModel card on Hugging Face ↗

At a glance

Key differences

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

DeepSeek V4 Pro

  • Context capacity: 1M
  • Maximum output: 384K

google/gemma-4-12B-it

  • Input price: $0.06
  • Output price: $0.30

Context capacity

Higher listed limit

DeepSeek V4 Pro:1M

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

DeepSeek V4 Pro

Maximum output

Higher listed limit

DeepSeek V4 Pro:384K

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

DeepSeek V4 Pro

Input price

Lower listed token rate

DeepSeek V4 Pro:$0.435

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

google/gemma-4-12B-it

Output price

Lower listed token rate

DeepSeek V4 Pro:$0.87

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

google/gemma-4-12B-it

Specifications

Pricing, limits and capabilities

Specifications for DeepSeek V4 Pro and google/gemma-4-12B-it. Higher limits and lower prices describe these figures only.
SpecificationDeepSeek V4 Progoogle/gemma-4-12B-it
ProviderDeepSeekgoogle
Listed pricing routeDeepSeekgoogle
Model familydeepseek-thinking—
Accepted inputstexttext, image, audio, video
Produced outputstexttext, image, audio, video
Context window1MHigher262.14K
Max output384KHigher32.77K
Input price / 1M$0.435$0.06Lower
Output price / 1M$0.87$0.30Lower
Reasoning modeDocumentedNot documented
Tool callingDocumentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedDocumented
Structured outputDocumentedNot documented
LicenseOpen weightsNot documented

Workload guidance

Which model should you choose?

Consider DeepSeek V4 Pro if you need larger context or larger maximum output. Consider google/gemma-4-12B-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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