Question 1

What does this Nemotron Nano 12B v2 VL vs GPT-5.1 Codex mini 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: Nemotron Nano 12B v2 VL or GPT-5.1 Codex mini?

Accepted Answer

Nemotron Nano 12B v2 VL lists $0.20 input and $0.60 output per 1M tokens. GPT-5.1 Codex mini lists $0.25 input and $2.00 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: Nemotron Nano 12B v2 VL or GPT-5.1 Codex mini?

Accepted Answer

Nemotron Nano 12B v2 VL lists 128K tokens and GPT-5.1 Codex mini lists 400K. GPT-5.1 Codex mini therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: Nemotron Nano 12B v2 VL or GPT-5.1 Codex mini?

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 Nemotron Nano 12B v2 VL and GPT-5.1 Codex mini support?

Accepted Answer

Nemotron Nano 12B v2 VL records text, image, video input and text output. GPT-5.1 Codex mini records text, image 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 Nemotron Nano 12B v2 VL or GPT-5.1 Codex mini?

Accepted Answer

Consider Nemotron Nano 12B v2 VL if you need a lower listed input rate or a lower listed output rate. Consider GPT-5.1 Codex mini if you need larger context. Nemotron Nano 12B v2 VL offers downloadable weights; GPT-5.1 Codex mini is listed as a proprietary model. Compare licence terms and operating costs before choosing a deployment. 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	Nemotron Nano 12B v2 VL	GPT-5.1 Codex mini
Provider	NVIDIA	OpenAI
Listed pricing route	NVIDIA	OpenAI
Model family	nemotron	gpt-codex
Accepted inputs	text, image, video	text, image
Produced outputs	text	text
Context window	128K	400KHigher
Max output	128K	128K
Input price / 1M	$0.20Lower	$0.25
Output price / 1M	$0.60Lower	$2.00
Reasoning mode	Documented	Documented
Tool calling	Documented	Documented
Image input	Documented	Documented
Audio input	Not documented	Not documented
Structured output	Not documented	Documented
License	Open weights	Proprietary

Nemotron Nano 12B v2 VL vs GPT-5.1 Codex mini

Nemotron Nano 12B v2 VL

GPT-5.1 Codex mini

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

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