Question 1

What does this Gemma 4 E2B IT vs Nemotron 3 Nano Omni 30B A3B Reasoning 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: Gemma 4 E2B IT or Nemotron 3 Nano Omni 30B A3B Reasoning?

Accepted Answer

Gemma 4 E2B IT lists $0.02 input and $0.10 output per 1M tokens. Nemotron 3 Nano Omni 30B A3B Reasoning lists $0.00 input and $0.00 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: Gemma 4 E2B IT or Nemotron 3 Nano Omni 30B A3B Reasoning?

Accepted Answer

Gemma 4 E2B IT lists 131.07K tokens and Nemotron 3 Nano Omni 30B A3B Reasoning lists 256K. Nemotron 3 Nano Omni 30B A3B Reasoning therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: Gemma 4 E2B IT or Nemotron 3 Nano Omni 30B A3B Reasoning?

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 Gemma 4 E2B IT and Nemotron 3 Nano Omni 30B A3B Reasoning support?

Accepted Answer

Gemma 4 E2B IT records text, image, audio input and text output. Nemotron 3 Nano Omni 30B A3B Reasoning records text, image, video, audio input and text output. “Not documented” means the current source record is incomplete; it does not prove that a modality is unsupported.

Question 6

Should I choose Gemma 4 E2B IT or Nemotron 3 Nano Omni 30B A3B Reasoning?

Accepted Answer

Consider Nemotron 3 Nano Omni 30B A3B Reasoning if you need larger context or larger maximum output or 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.

Specification	Gemma 4 E2B IT	Nemotron 3 Nano Omni 30B A3B Reasoning
Provider	Google	NVIDIA
Listed pricing route	Google	NVIDIA
Model family	gemma	nemotron
Accepted inputs	text, image, audio	text, image, video, audio
Produced outputs	text	text
Context window	131.07K	256KHigher
Max output	8.19K	65.54KHigher
Input price / 1M	$0.02	$0.00Lower
Output price / 1M	$0.10	$0.00Lower
Reasoning mode	Documented	Documented
Tool calling	Documented	Documented
Image input	Documented	Documented
Audio input	Documented	Documented
Structured output	Documented	Not documented
License	Open weights	Open weights

Gemma 4 E2B IT vs Nemotron 3 Nano Omni 30B A3B Reasoning

Gemma 4 E2B IT

Nemotron 3 Nano Omni 30B A3B Reasoning

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

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