stepfunListed May 23, 2026

StepFun: Step 3.7 Flash

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...

Context window262.1K
Max output230.4K
Provider endpoints5
Benchmark results0
Measured performance

Benchmark results

All leaderboards ↗
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No published results in this index yet

Scores appear here when an evaluation matches this exact model.

Access & cost

Prices across providers

5 quotes

Your token mix

USD · listed token rates

Novita · via OpenRouternovita/fp8 · quantization=fp8
$0.4875
StepFun · via OpenRouterstepfun/fp8 · quantization=fp8
$0.4875

OpenRouter

Catalog quote
Input
$0.20
Output
$1.15
Cached input
$0.04
USD / 1M tokens
262.1K context230.4K max outputPrice source ↗Checked Oct 18, 2026
Endpoint IDstepfun/step-3.7-flash

deepinfra

via Hugging Face
Input
$0.20
Output
$1.15
USD / 1M tokens
262.1K contextPrice source ↗Checked Oct 18, 2026
Endpoint IDstepfun-ai/Step-3.7-Flash

Novita

via OpenRouter

novita/fp8 · quantization=fp8

Input
$0.20
Output
$1.15
Cached input
$0.04
USD / 1M tokens
262.1K context256K max outputPrice source ↗Checked Oct 18, 2026
Endpoint IDstepfun/step-3.7-flash::novita/fp8

StepFun

via OpenRouter

stepfun/fp8 · quantization=fp8

Input
$0.20
Output
$1.15
Cached input
$0.04
USD / 1M tokens
256K context230.4K max outputPrice source ↗Checked Oct 18, 2026
Endpoint IDstepfun/step-3.7-flash::stepfun/fp8

Model specifications

Developer
stepfun
Modality
Language
Context
262,144 tokens
Maximum output
230,400 tokens
Weights
Open weights
Provider listed
May 23, 2026
First discovered
Oct 16, 2026

Exact identities

  • openrouterstepfun/step-3.7-flash
  • huggingfacestepfun-ai/Step-3.7-Flash

Sources

Updated Oct 18, 2026

More from stepfun

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stepfunListed Jan 29

StepFun: Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....

262.1K contextTool callingReasoningNo reported score
No reported score
$0.10in$0.30out/ 1M tokens · USDdeepinfra · via Hugging Face · 4 endpoints