Step 5 Preview pricing.
Prices checked
Step 5 Preview costs $1 in and $2.70 out per million tokens from StepFun; the cheapest price is $0.76 at NanoGPT, checked .
StepFun's own price
StepFun
$1 in · $2.70 out
61% above the typical price of the 389 text models we track.
Cheapest price
NanoGPT
$1 in · $0.05 out
46% less than StepFun, and the provider says why.
Every provider selling Step 5 Preview
| Rank | Name | Price per M tokens | Links |
|---|---|---|---|
| 1 | $1 in · $0.05 out | $0.76/M tokens | View |
| 2 | $1 in · $2.70 out | $1.43/M tokens | View |
| 3 | $1 in · $2.70 out | $1.43/M tokens | View |
| 4 | $1 in · $2.70 out | $1.43/M tokens | View |
| 5 | $1 in · $2.70 out | $1.43/M tokens | View |
| 6 | $1 in · $2.70 out | $1.43/M tokens | View |
| 7 | $1 in · $2.70 out | $1.43/M tokens | View |
| 8 | Same as maker $1 in · $2.70 out | $1.43/M tokens | |
| 9 | OpenCode Go Same as maker$1 in · $2.70 out | $1.43/M tokens | |
| 10 | $1 in · $2.70 out | $1.43/M tokens | View |
| 11 | $1 in · $2.70 out | $1.43/M tokens | View |
| 12 | $1 in · $2.70 out | $1.43/M tokens | View |
| 13 | $1 in · $2.70 out | $1.43/M tokens | View |
| 14 | $1 in · $2.70 out | $1.43/M tokens | View |
| 15 | $1 in · $2.70 out | $1.43/M tokens | View |
| 16 | $1 in · $2.70 out | $1.43/M tokens | View |
| 17 | $1 in · $2.70 out | $1.43/M tokens | View |
| 18 | $1.06 in · $2.85 out | $1.50/M tokens | View |
| 19 | Costs more $1.06 in · $2.86 out | $1.51/M tokens | |
| 20 | $1.05 in · $2.99 out price from , a change is being checked | $1.53/M tokens | View |
| 21 | $1.05 in · $3 out | $1.54/M tokens | View |
| 22 | $1.08 in · $3.09 out | $1.58/M tokens |
Not ranked
Below the maker's own price with nothing published to account for it, from a catalog we could not read reliably, or a free tier, which is a limit rather than a price. Why
| Rank | Name | Price per M tokens | Links |
|---|---|---|---|
given away with limits | free | View | |
$1 in · $2.70 out · 262k context here | $1.43/M tokens | View | |
$1 in · $2.70 out · 262k context here | $1.43/M tokens | View | |
$2 in · $5 out | $2.75/M tokens | View |
What it costs for your work
A month at StepFun's own price
A month at NanoGPT, the cheapest
What you save
A page is about 600 tokens in and 60 out, a support reply 200 in and 300 out, an email 150 in and 250 out. Nothing else is counted: no cache discount, no batch rate, no free tier.
How we count
Prices are per million tokens. The big number on each row is blended 3 in : 1 out, the way most work uses a model. A price below StepFun's own is listed as cheapest only when the provider says why.
- Same as maker
- Sold by someone else at the price the maker charges.
- Resells
- The provider sells another company's endpoint, at a margin of its own or at the maker's price.
- Costs more
- Sold by someone else for more than the maker charges.
- Maker's price
- What the lab that trained the model charges on its own API. Every other row is measured against it.
- Free tier
- Given away inside a quota. A limit is not a price, so it is never called cheapest.
- Not ranked
- Below the maker's price on a closed model with nothing to account for it, or from a catalog we could not read reliably. Listed, and never a pick.
Similar models
Models from other labs that do what Step 5 Preview does, cheapest first. Each percentage is against Step 5 Preview's cheapest price, $0.76 per M tokens.
Frequently asked
- Who sells Step 5 Preview cheapest?
- No provider sells Step 5 Preview below StepFun's own price for a reason it publishes. 23 providers sell it at that price or above, and every one of them is on this page.
- Is Step 5 Preview open weights?
- Yes. StepFun publishes the weights, so anyone may host Step 5 Preview, which is why 23 providers sell it and why their prices differ so much.
- How much context does Step 5 Preview hold?
- 1,024,000 tokens in one call, which is about 1M, and it can call your own functions.
- How does Step 5 Preview compare with the rest of the market?
- At $1.43 per million tokens, StepFun's own price is 61% above the typical $0.89 across the 389 text models we track.
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