LLM Reference
NVIDIA NIM

Step 3.7 Flash on NVIDIA NIM

Step · StepFun

Provisioned

Last refreshed 2026-06-29. Next refresh: weekly.

Why use Step 3.7 Flash on NVIDIA NIM?

NVIDIA NIM offers Step 3.7 Flash with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Compare Step 3.7 Flash across 3 providers to find the best fit for your use case
Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: step-3.7-flash
Model ID
step-3.7-flash

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID step-3.7-flash.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare Step 3.7 Flash Across Providers

ProviderInput (per 1M)Output (per 1M)
StepFun$0.20$1.15
OpenRouter$0.20$1.15
NVIDIA NIM

Pricing

TypePrice (per 1M)
Image input$1.00
Video input$1.00

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

About Step 3.7 Flash

Step 3.7 Flash is StepFun's open-weights multimodal Mixture-of-Experts model for agentic coding, tool use, long-context reasoning, image understanding, and video understanding. It combines a 196B-parameter language backbone with a 1.8B-parameter vision encoder, activates about 11B parameters per token, supports a 256K-token context window, and exposes low, medium, and high reasoning levels for speed/depth tradeoffs. StepFun reports leading open-model results on ClawEval-1.1, SimpleVQA with Search, and SWE-bench Pro at launch. Weights are available on Hugging Face under Apache 2.0.

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Model Specs

Released2026-05-29
Parameters198B (11B active)
Context256k
ArchitectureMixture of Experts