API cost decision in 10 seconds

🔥Hy3 preview vs 🔥DeepSeek V3.2

Pick Hy3 preview when budget and context both matter.

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

Budget verdict

Pick Hy3 preview when budget and context both matter.

On the standard 1M input plus 500K output workload, Hy3 preview is estimated at $0.2 vs $0.44 for DeepSeek V3.2, saving $0.24 (55.6% lower).

Cost-first pickHy3 preview
Context-first pickHy3 preview
Sample savings$0.2455.6%
10x traffic gap$2.45

Hy3 preview is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $2.45. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Hy3 preview $0.066 vs $0.252 / 1M

Hy3 preview is $0.19 cheaper per 1M input tokens (73.8% lower; 3.82x difference).

Cheaper output Hy3 preview $0.26 vs $0.378 / 1M

Hy3 preview is $0.12 cheaper per 1M output tokens (31.2% lower; 1.45x difference).

Larger context Hy3 preview 262.14K vs 131.07K

Hy3 preview has 131.07K more context (2x larger).

Sample workload Hy3 preview $0.2 vs $0.44

Hy3 preview is $0.24 cheaper on the standard workload (55.6% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy3 preview Calculating… Estimated API cost
DeepSeek V3.2 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; Hy3 preview offers the larger 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 $0.44 for DeepSeek V3.2.

Best Fit

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

Choose DeepSeek V3.2 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 $0.44 for DeepSeek V3.2, saving $0.24 (55.6% lower).
  • Hy3 preview is $0.24 cheaper on the standard workload (55.6% lower).
  • Hy3 preview is $0.19 cheaper per 1M input tokens (73.8% lower; 3.82x difference).
  • Hy3 preview is $0.12 cheaper per 1M output tokens (31.2% lower; 1.45x difference).
  • Hy3 preview has 131.07K more context (2x larger).
Head-to-Head Specs
Feature🔥Hy3 preview
(Tencent)
🔥DeepSeek V3.2
(DeepSeek)
Input Price
prompt tokens per 1M
$0.066$0.252
Completion Price
per 1M tokens
$0.26$0.378
Sample Workload Cost
1M input + 500K output
$0.2$0.44
Context Window262.14K131.07K
Release Date2026-04-222025-12-01
Popularity Rank
current rank
#1#7

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 $0.44 for DeepSeek V3.2, saving $0.24 (55.6% 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 workHy3 previewA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Tencent catalog

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DeepSeek catalog

Check other DeepSeek models with comparable pricing, context, or release timing.

Open DeepSeek models
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...

DeepSeek V3.2

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...