Step 5 Preview — Coding #31 on HuaLinYuan Index
Not yet on this site
Overview
Step 5 Preview from StepFun sits at #31 on the HuaLinYuan Coding leaderboard with an index score of 1564, placing it among competent code-focused models. The ranking reflects solid performance on programming tasks such as generation, debugging, and refactoring across common languages.
Pricing is set at $1.00 per million input tokens and $2.70 per million output tokens, positioning it in the mid-range for commercial APIs. The model is not yet available on HuaLinYuan or LongHua AI, so developers looking for immediate access should consider the comparable alternatives listed below.
Strengths
- Ranked #31 in Coding benchmark
- Competitive mid-range token pricing
- Strong code generation and debugging
- Backed by StepFun research team
Best for
- Writing and refactoring production code
- Debugging complex algorithmic issues
- Generating unit tests automatically
- Explaining legacy codebases clearly
Things to know
- Not yet accessible on this platform
- Limited public benchmark detail available
Step 5 Preview vs other models
FAQ
What does Step 5 Preview cost — is there a free tier?
The API costs $1.00 per million input tokens and $2.70 per million output tokens. No free tier is mentioned; usage is billed on a pay-as-you-go basis.
What is Step 5 Preview best at?
It excels at coding tasks — generation, debugging, refactoring, and test creation — as shown by its #31 rank on the HuaLinYuan Coding board (index 1564).
How do I choose between Step 5 Preview and its peers?
If you need immediate access on HuaLinYuan, pick Kimi K3, GLM-5.3, or DeepSeek V4.1 Flash. Choose Step 5 Preview when it launches if its coding rank and pricing fit your workflow better.
Can I use Step 5 Preview on HuaLinYuan or LongHua AI right now?
Not yet — it is not available on this site. For now, try the comparable models Kimi K3, GLM-5.3, or DeepSeek V4.1 Flash, which are usable here.
Similar models you can use here
Tell LongHua Tree ASI what you want — it splits the task and assigns the strongest model to each part, then delivers the finished result.