StepFun: Step 5 Preview API Pricing
StepFun: Step 5 Preview costs $1.00 per 1M input tokens and $2.70 per 1M output tokens (cache reads: $0.100). Context window: 1.0M. Prices verified 2026-10-21 · source
Alternatives to consider
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Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →
From our own daily snapshot archive — independent of provider announcements.
Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $1.00 | — |
| Cache read | $0.100 | −90% |
| Output | $2.70 | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Higher effort = deeper thinking = more reasoning tokens billed as output.
What would StepFun: Step 5 Preview cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $18.80 |
| Coding agent | 5,000 | 8,000 / 2,000 | $67.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $160.50 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $45.40 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About StepFun: Step 5 Preview
Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...
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Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does StepFun: Step 5 Preview cost?
StepFun: Step 5 Preview costs $1.00 per 1M input tokens and $2.70 per 1M output tokens; cached input tokens cost $0.100 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
1.0M tokens, with up to 64K output tokens per response. That's roughly 1311 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.100/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 98% on a typical workload with comparable quality.
Official resources
- StepFun: Step 5 Preview on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Shred your current bill — paste a CSV and see if switching saves money.