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NVIDIA: Step 3.7 Flash

nvidia/step-3.7-flash · rates as of · Benchmarks · AI plans · Calculator

StepFun flash model for efficient multimodal reasoning, coding, and tool use

Cheapest input
$0.185
$/MTok · models.dev
Cheapest output
$1.11
$/MTok
Context
262K
tokens
Sources
3
17 listings

Sources

Same model, different sources. Our first-party rate is listed first, then router and aggregator rows stay separate so you can see the spread instead of a single blended number. Free/$0 listings are hidden by default (6 omitted). Show free/$0 listings.

SourceProviderInputOutputCache readContext
models.devcheapeststep-3.7-flashStepFun (China)$0.185$1.11$0.037256K
models.devstep-3.7-flashStepFun (Global)$0.185$1.11$0.037256K
models.devstepfun/step-3.7-flashAmbient$0.19$1.14$0.03262K
models.devstepfun/step-3.7-flashKilo Gateway$0.2$1.15$0.04256K
OpenRouterstepfun/step-3.7-flashOpenRouter$0.2$1.15$0.04262K
models.devstepfun/step-3.7-flashVercel AI Gateway$0.2$1.15$0.04256K
models.devstepfun/step-3.7-flashZenMux$0.2$1.15$0256K
models.devstepfun-ai/Step-3.7-FlashDeepInfra$0.2$1.15$0.04262K
models.devdeepinfra/stepfun-ai/Step-3.7-FlashEden AI$0.2$1.15$0.04262K
models.devstepfun-ai/Step-3.7-FlashHugging Face$0.2$1.15$0262K
models.devstep-3-7-flashEmpirioLabs AI$0.2$1.15$0.04256K
models.devstep-3.7-flashRequesty$0.2$1.15$0.04262K
models.devstepfun/step-3.7-flash:thinkingNanoGPT$0.2$1.15$0.04262K
LiteLLMnovita/stepfun/step-3.7-flashN/A$0.2$1.15$0.04N/A
LiteLLMstepfun/step-3.7-flashN/A$0.2$1.15$0.04N/A
LiteLLMstepfun-ai/Step-3.7-FlashN/A$0.2$1.15$0.04N/A
LiteLLMStep-3.7-FlashN/A$0.2$1.15$0.04N/A

Capabilities

  • Reasoning
  • Tool calling
  • Structured output
  • Attachments
  • Open weights
  • In: text
  • In: image
  • In: video
  • Out: text
Knowledge cutoff: 2026-03-01Released: 2026-05-29

Scores

Sparse coverage on purpose. Missing a score means we have not linked one yet, not that the model is unranked. Hover or tap the i next to any score for its source. Full boards on /benchmarks.

Arena rows are community-vote Elo from Arena AI, Artificial Analysis indices arrive via OpenRouter, and launch-eval figures are collected from vendor announcements, analyst writeups, and community benchmarks. Full boards and credits on /benchmarks.

Run this model in a real workspace

Launch agents from the project they work in, use remote management to reach another machine, and see this model's sessions and token usage in your own history. Free to use, runs on your device.

CLI for macOS, Linux, and Windows

Data and list-price estimates may contain mistakes. Not investment advice.