Интерфейс моделей ИИ

Step 3.5 Flash

stepfun/step-3-5-flash

От StepFun · семейство: step · выпуск 2026-02-02 · дата знаний: 2025-01

$0.096
Вход / 1M токенов
$0.288
Выход / 1M токенов
256K
Окно контекста
256K
Макс. вывод

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Возможности

Tool callingРассуждение? Структурированный выводВложенияОткрытые весаУправление температурой
Модальности: вход text · выход text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding67
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)8/20
  • Provider availability9/10
Agents74
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability9/10
JSON / structured output49
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency78
  • Headline price (log-scaled)73/95
  • Has prompt-cache pricing5/5
Long context60
  • Context window (100K → 2M)50/90
  • Has published price for full window10/10
Production-readiness96
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$0.62
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$1.25
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.34
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$1.06
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$1.32
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Детализация цен

Рекомендованная цена от stepfun · step-3.5-flash

$0.096
Вход
$0.288
Выход
$0.019
Чтение из кеша

Самый дешёвый провайдер: nvidia · Unknown вход + Unknown выход

Доступна у 9 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
StepFun
stepfun
step-3.5-flash$0.096$0.288256K2026-01-29
OpenRouter
openrouter
stepfun/step-3.5-flash$0.100$0.300256K2026-01-29
NanoGPT
nano-gpt
stepfun-ai/step-3.5-flash$0.200$0.500256K2026-02-02
SiliconFlow (China)
siliconflow-cn
stepfun-ai/Step-3.5-Flash$0.100$0.300262K2026-02-11
ZenMux
zenmux
stepfun/step-3.5-flash$0.100$0.300256K2026-02-02
Qiniu
qiniu-ai
stepfun/step-3.5-flashUnknownUnknown64K2026-02-02
Kilo Gateway
kilo
stepfun/step-3.5-flash$0.100$0.300256K2026-01-29
Nvidia
nvidia
stepfun-ai/step-3.5-flashUnknownUnknown256K2026-02-02
SiliconFlow
siliconflow
stepfun-ai/Step-3.5-Flash$0.100$0.300262K2026-02-11

Расхождения данных между провайдерами

  • context_window varies: 256000, 262000, 64000
  • modalities varies across offerings

Провайдеры сообщают разные значения для этой модели. Сводка выше использует репрезентативного провайдера; детали — в таблице.

Frequently asked questions

How much does Step 3.5 Flash cost?

Step 3.5 Flash costs $0.096 per 1M input tokens and $0.288 per 1M output tokens, sourced from stepfun. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Step 3.5 Flash?

Step 3.5 Flash has a context window of 256K tokens, with a max output of 256K tokens per reply. This is the total combined size of prompt + completion.

Does Step 3.5 Flash support tool calling?

Yes. Step 3.5 Flash supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Step 3.5 Flash support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Step 3.5 Flash in our data source. Verify with StepFun's official documentation before relying on it in production.

Can Step 3.5 Flash accept image input?

No. Step 3.5 Flash only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Step 3.5 Flash open-weight?

Yes. Step 3.5 Flash's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Step 3.5 Flash?

If Step 3.5 Flash doesn't fit, consider Step 3.5 Flash 2603, Step 1 (32K), Step 2 (16K). Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More StepFun models

Последнее обновление:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.