One agent session
1M input tokens and 100K output tokens, no caching.
- Input1M x $0.36 = $0.36
- Output0.1M x $1.15 = $0.115
$0.475per session
StepFun - Closed weights
Step-1o Turbo Vision is a closed-weights model from StepFun that costs $0.36 per 1M input tokens and $1.15 per 1M output tokens on the first-party API, with a 32K-token context window.
Last verified from platform.stepfun.ai. All sources
| Item | Price / 1M tokens |
|---|---|
| Input | $0.36 |
| Output | $1.15 |
| Cache read | $0.07 |
Note: StepFun international platform, priced in USD. Previous-generation vision model, still listed and priced; it is the documented replacement for the step-1 / step-2 text and vision models retired 2026-07-08. Max context listed as 32K on the model overview (recorded as 32,000). Image input is billed as tokens (169 tokens per image by default; detail mode sizes by image dimensions). Up to 60 images (20 MB total) or an MP4 under 128 MB per request. max output and release date blank: no primary page states them.
step-1o-turbo-visionWorked from the standard list rates above, with the math shown so you can swap in your own token counts.
1M input tokens and 100K output tokens, no caching.
$0.475per session
10,000 requests a day at 2K input and 500 output tokens each.
$12.95per day
$388.50 per 30-day month
90% of the input is read from the prompt cache. The one-time cache write premium is not included.
$0.214per session
| Model | Input / 1M | Output / 1M |
|---|---|---|
| Step-1o Turbo Vision (this page) | $0.36 | $1.15 |
| Step 3.7 FlashStepFun | $0.20 | $1.15 |
| GLM-4.5-AirZ.ai | $0.20 | $1.10 |
| DeepSeek V4.1 FlashDeepSeek | $0.30 | $1.20 |
| GPT-5.6 LunaOpenAI | $0.20 | $1.20 |
| Step 3.5 FlashStepFun | $0.10 | $0.30 |
| Step 3.5 Flash 2603StepFun | $0.10 | $0.30 |
| Step 5 PreviewStepFun | $1 | $2.70 |
Step-1o Turbo Vision costs $0.36 per 1M input tokens and $1.15 per 1M output tokens on StepFun's first-party API, per platform.stepfun.ai on October 17, 2026. Per 1M tokens, cache reads cost $0.07.
Step-1o Turbo Vision has a 32,000-token context window.
No. Step-1o Turbo Vision is a closed-weights model. You call it through StepFun's API as step-1o-turbo-vision.
Last verified from platform.stepfun.ai.
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