API cost decision in 10 seconds

🔥Hy3 preview vs 🔥Step 3.5 Flash

Pick Hy3 preview when budget is the priority.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Hy3 preview when budget is the priority.

On the standard 1M input plus 500K output workload, Hy3 preview is estimated at $0.2 vs $0.25 for Step 3.5 Flash, saving $0.05 (21.6% lower).

Cost-first pickHy3 preview
Context-first pickBoth models
Sample savings$0.0521.6%
10x traffic gap$0.54

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $0.54. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Hy3 preview $0.066 vs $0.1 / 1M

Hy3 preview is $0.03 cheaper per 1M input tokens (34% lower; 1.52x difference).

Cheaper output Hy3 preview $0.26 vs $0.3 / 1M

Hy3 preview is $0.04 cheaper per 1M output tokens (13.3% lower; 1.15x difference).

Larger context Tie 262.14K vs 262.14K

Both models report the same context window at 262.14K tokens.

Sample workload Hy3 preview $0.2 vs $0.25

Hy3 preview is $0.05 cheaper on the standard workload (21.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy3 preview Calculating… Estimated API cost
Step 3.5 Flash Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Hy3 preview has the lower input price; Hy3 preview has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Hy3 preview is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.2 for Hy3 preview and $0.25 for Step 3.5 Flash.

Best Fit

Choose Hy3 preview when you care most about lower input-token price, and lower output-token price.

Choose Step 3.5 Flash when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Hy3 preview is estimated at $0.2 vs $0.25 for Step 3.5 Flash, saving $0.05 (21.6% lower).
  • Hy3 preview is $0.05 cheaper on the standard workload (21.6% lower).
  • Hy3 preview is $0.03 cheaper per 1M input tokens (34% lower; 1.52x difference).
  • Hy3 preview is $0.04 cheaper per 1M output tokens (13.3% lower; 1.15x difference).
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
Feature🔥Hy3 preview
(Tencent)
🔥Step 3.5 Flash
(StepFun)
Input Price
prompt tokens per 1M
$0.066$0.1
Completion Price
per 1M tokens
$0.26$0.3
Sample Workload Cost
1M input + 500K output
$0.2$0.25
Context Window262.14K262.14K
Release Date2026-04-222026-01-29
Popularity Rank
current rank
#1#15

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionHy3 previewOn the standard 1M input plus 500K output workload, Hy3 preview is estimated at $0.2 vs $0.25 for Step 3.5 Flash, saving $0.05 (21.6% lower).
High-volume input processingHy3 previewLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsHy3 previewLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Tencent catalog

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StepFun catalog

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Hy3 preview

Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled, low, and high modes, allowing it to...

Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....