# Step 5 Preview Usage, Cost & Rank | OpenCode Data

> Step 5 Preview ranked #14 by tokens across OpenCode last week, with 0.1% of tokens over the past two months. Step 5 Preview costs $0.96 per 1M input tokens and $2.74 per 1M output tokens.

StepFun's next-generation flagship base model for coding and professional knowledge work, with native text, image, and video input and a 1M-token context window

- Page: https://opencode.ai/data/stepfun/step-5-preview
- JSON: https://opencode.ai/data/stepfun/step-5-preview.json
- Model ID: stepfun/step-5-preview
- Lab: StepFun
- Updated: 2026-10-09T03:44:58.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 1M |
| Knowledge cutoff | - |
| Release date | 2026-09-16 |
| Input modalities | text, image, video |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.96 | $2.74 | $0.05 | - |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #14 |
| Tokens | 476B |
| Share of all tokens | 0.1% |
| Change vs previous 2 months | +100% |
| Unique users | 8.2K |
| Completed sessions | 177,655 |
| Average tokens per session | 2.7M |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 96.6% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-10-08 | 354B | 4.8K | 115,867 |
| 2026-10-09 | 122B | 3.4K | 61,787 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 76B | 16% |
| 2 | China | 42B | 8.9% |
| 3 | India | 32B | 6.8% |
| 4 | Germany | 27B | 5.7% |
| 5 | Brazil | 23B | 4.9% |
| 6 | United Kingdom | 16B | 3.4% |
| 7 | France | 15B | 3.2% |
| 8 | Japan | 14B | 3% |
| 9 | Türkiye | 13B | 2.7% |
| 10 | Canada | 11B | 2.4% |
| 11 | Poland | 11B | 2.3% |
| 12 | Spain | 11B | 2.2% |
| 13 | Netherlands | 11B | 2.2% |
| 14 | Singapore | 9.4B | 2% |
| 15 | Indonesia | 7B | 1.5% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 10 | [gpt-6-luna](https://opencode.ai/data/openai/gpt-6-luna.md) | OpenAI | 592B |
| 11 | [deepseek-v4-flash-vision-exp](https://opencode.ai/data/deepseek/deepseek-v4-flash-vision-exp.md) | DeepSeek | 544B |
| 12 | [mimo-v2.5](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 523B |
| 13 | [nemotron-3.5-lightning](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md) | NVIDIA | 476B |
| 14 | [step-5-preview](https://opencode.ai/data/stepfun/step-5-preview.md) | StepFun | 476B |
| 15 | [deepseek-v4-pro](https://opencode.ai/data/deepseek/deepseek-v4-pro.md) | DeepSeek | 421B |
| 16 | [mimo-v2.6-pro](https://opencode.ai/data/xiaomi/mimo-v2-6-pro.md) | Xiaomi | 408B |
| 17 | [muse-spark-1.2-contributor](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 349B |
| 18 | [qwen3.8-flash](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | Qwen | 244B |
| 19 | [minimax-m3](https://opencode.ai/data/minimax/minimax-m3.md) | MiniMax | 180B |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.