Question 1

What does this GPT-5.6 Luna vs Step 3.7 Flash 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: GPT-5.6 Luna or Step 3.7 Flash?

Accepted Answer

GPT-5.6 Luna lists $0.20 input and $1.20 output per 1M tokens. Step 3.7 Flash lists $0.185 input and $1.11 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: GPT-5.6 Luna or Step 3.7 Flash?

Accepted Answer

GPT-5.6 Luna lists 1.05M tokens and Step 3.7 Flash lists 256K. GPT-5.6 Luna therefore has the larger recorded context window, but capacity alone is not a quality score.

Question 4

Which is faster: GPT-5.6 Luna or Step 3.7 Flash?

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 GPT-5.6 Luna and Step 3.7 Flash support?

Accepted Answer

GPT-5.6 Luna records text, image, pdf input and text output. Step 3.7 Flash records text, image, video 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 GPT-5.6 Luna or Step 3.7 Flash?

Accepted Answer

Consider GPT-5.6 Luna if you need larger context. Consider Step 3.7 Flash if you need larger maximum output or a lower listed input rate or a lower listed output rate. Step 3.7 Flash offers downloadable weights; GPT-5.6 Luna 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	GPT-5.6 Luna	Step 3.7 Flash
Provider	OpenAI	StepFun
Listed pricing route	OpenAI	StepFun
Model family	gpt-luna	—
Accepted inputs	text, image, pdf	text, image, video
Produced outputs	text	text
Context window	1.05MHigher	256K
Max output	128K	256KHigher
Input price / 1M	$0.20	$0.185Lower
Output price / 1M	$1.20	$1.11Lower
Reasoning mode	Documented	Documented
Tool calling	Documented	Documented
Image input	Documented	Documented
Audio input	Not documented	Not documented
Structured output	Documented	Not documented
License	Proprietary	Open weights

GPT-5.6 Luna vs Step 3.7 Flash

GPT-5.6 Luna

Step 3.7 Flash

Key differences

Pricing, limits and capabilities

Which model should you choose?

Documentation and model profiles

Questions people ask

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