Name: DeepSeek Reasoner
Author: DeepSeek

Question 1

What does this DeepSeek Reasoner vs google/gemma-4-12B-it comparison cover?

Accepted Answer

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.

Question 2

Which is cheaper: DeepSeek Reasoner or google/gemma-4-12B-it?

Accepted Answer

DeepSeek Reasoner lists $0.14 input and $0.28 output per 1M tokens. google/gemma-4-12B-it lists $0.06 input and $0.30 output. The cheaper workload depends on the mix of input and output. Long-context tiers, caching, batch processing and retries can change the bill.

Question 3

Which has the larger context window: DeepSeek Reasoner or google/gemma-4-12B-it?

Accepted Answer

DeepSeek Reasoner lists 1M tokens and google/gemma-4-12B-it lists 262.14K. DeepSeek Reasoner therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: DeepSeek Reasoner or google/gemma-4-12B-it?

Accepted Answer

There is no matched speed measurement for both models with the same source, host, region and date. Test the same prompts at your expected concurrency and measure time to the first useful response as well as complete task time.

Question 5

What input and output types do DeepSeek Reasoner and google/gemma-4-12B-it support?

Accepted Answer

DeepSeek Reasoner records text input and text output. google/gemma-4-12B-it records text, image, audio, video input and text, image, audio, video output. “Not documented” means the current source record is incomplete; it does not prove that a modality is unsupported.

Question 6

Should I choose DeepSeek Reasoner or google/gemma-4-12B-it?

Accepted Answer

Consider DeepSeek Reasoner if you need larger context or larger maximum output or a lower listed output rate. Consider google/gemma-4-12B-it if you need a lower listed input 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.

Specification	DeepSeek Reasoner	google/gemma-4-12B-it
Provider	DeepSeek	google
Listed pricing route	DeepSeek	google
Model family	deepseek-thinking	—
Accepted inputs	text	text, image, audio, video
Produced outputs	text	text, image, audio, video
Context window	1MHigher	262.14K
Max output	384KHigher	32.77K
Input price / 1M	$0.14	$0.06Lower
Output price / 1M	$0.28Lower	$0.30
Reasoning mode	Documented	Not documented
Tool calling	Documented	Documented
Image input	Not documented	Documented
Audio input	Not documented	Documented
Structured output	Not documented	Not documented
License	Open weights	Not documented

DeepSeek Reasoner vs google/gemma-4-12B-it

DeepSeek Reasoner

google/gemma-4-12B-it

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

Compare a different pair