API cost decision in 10 seconds

🔥Hy3 preview vs 🔥Gemma 4 31B

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 $0.3 for Gemma 4 31B, saving $0.11 (35.7% lower).

Cost-first pickHy3 preview
Context-first pickBoth models
Sample savings$0.1135.7%
10x traffic gap$1.09

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $1.09. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Hy3 preview $0.066 vs $0.12 / 1M

Hy3 preview is $0.05 cheaper per 1M input tokens (45% lower; 1.82x difference).

Cheaper output Hy3 preview $0.26 vs $0.37 / 1M

Hy3 preview is $0.11 cheaper per 1M output tokens (29.7% lower; 1.42x 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 $0.3

Hy3 preview is $0.11 cheaper on the standard workload (35.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy3 preview Calculating… Estimated API cost
Gemma 4 31B 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 $0.3 for Gemma 4 31B.

Best Fit

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

Choose Gemma 4 31B 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 $0.3 for Gemma 4 31B, saving $0.11 (35.7% lower).
  • Hy3 preview is $0.11 cheaper on the standard workload (35.7% lower).
  • Hy3 preview is $0.05 cheaper per 1M input tokens (45% lower; 1.82x difference).
  • Hy3 preview is $0.11 cheaper per 1M output tokens (29.7% lower; 1.42x difference).
  • Both models report the same context window at 262.14K tokens.
Head-to-Head Specs
Feature🔥Hy3 preview
(Tencent)
🔥Gemma 4 31B
(Google)
Input Price
prompt tokens per 1M
$0.066$0.12
Completion Price
per 1M tokens
$0.26$0.37
Sample Workload Cost
1M input + 500K output
$0.2$0.3
Context Window262.14K262.14K
Release Date
Popularity Rank
current rank
#2#18

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 $0.3 for Gemma 4 31B, saving $0.11 (35.7% 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.

Related Alternatives

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Larger context alternatives

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Provider catalogs

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Tencent catalog

Review all tracked Tencent models before deciding whether this matchup is the right shortlist.

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Google catalog

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

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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...

Gemma 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...