Model Cost Profile

StepFun: Step 3.5 Flash

Developer: stepfun

Pricing updated Mar 11, 2026

Input rank: #95Output rank: #93

Live Pricing

Input: $0.1000

Output: $0.3000

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

StepFun: Step 3.5 Flash is designed for applications requiring extensive context, supporting up to 256,000 tokens, making it ideal for complex document analysis and long-form content generation. With an input price of $0.10 per million tokens and an output price of $0.30 per million tokens, teams can effectively manage costs while leveraging the model for tasks like real-time data processing and interactive chatbots. This pricing structure allows organizations to scale their usage based on project needs, ensuring efficient resource allocation for both small and large-scale implementations.

๐Ÿ”ง Tool Calling๐Ÿง  Reasoning

Context Window

256,000

Tokens

Input Price / 1M

$0.1000

Prompt tokens

Output Price / 1M

$0.3000

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

StepFun: Step 3.5 Flash Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.1000$0.2000$0.3000Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.1000

Current Output / 1M

$0.3000

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for StepFun: Step 3.5 Flash.

How much does StepFun: Step 3.5 Flash cost per 1M input tokens?

StepFun: Step 3.5 Flash input pricing is $0.1000 per 1M tokens based on the latest synced provider data.

How much does StepFun: Step 3.5 Flash cost per 1M output tokens?

StepFun: Step 3.5 Flash output pricing is $0.3000 per 1M tokens based on the latest synced provider data.

What context window does StepFun: Step 3.5 Flash support?

StepFun: Step 3.5 Flash supports a context window of 256,000 tokens.

How can I compare StepFun: Step 3.5 Flash with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.