API cost decision in 10 seconds

🔥DeepSeek V4 Flash 0731 vs NewHy-MT2-1.8B

Pick Hy-MT2-1.8B for lower cost; pick DeepSeek V4 Flash 0731 only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Hy-MT2-1.8B for lower cost; pick DeepSeek V4 Flash 0731 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.17 for DeepSeek V4 Flash 0731, saving $0.04 (22.1% lower).

Cost-first pickHy-MT2-1.8B
Context-first pickDeepSeek V4 Flash 0731
Sample savings$0.0422.1%
10x traffic gap$0.37

DeepSeek V4 Flash 0731 has more context, but Hy-MT2-1.8B saves $0.04 on the standard workload. At 10x that traffic, the same price gap is about $0.37. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Hy-MT2-1.8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickDeepSeek V4 Flash 0731Hy-MT2-1.8B
Input-heavy / RAG5M input + 500K outputHy-MT2-1.8B$0.49$0.31
Balanced workload1M input + 1M outputHy-MT2-1.8B$0.26$0.22
Output-heavy chatbot1M input + 5M outputHy-MT2-1.8B$0.98$0.93
Cheaper input Hy-MT2-1.8B $0.08 vs $0.044 / 1M

Hy-MT2-1.8B is $0.04 cheaper per 1M input tokens (45% lower; 1.82x difference).

Cheaper output Hy-MT2-1.8B $0.18 vs $0.177 / 1M

Hy-MT2-1.8B is $0.003 cheaper per 1M output tokens (1.7% lower; 1.02x difference).

Larger context DeepSeek V4 Flash 0731 1.31M vs 8.19K

DeepSeek V4 Flash 0731 has 1.3M more context (160x larger).

Sample workload Hy-MT2-1.8B $0.17 vs $0.13

Hy-MT2-1.8B is $0.04 cheaper on the standard workload (22.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Flash 0731 Calculating… Estimated API cost
Hy-MT2-1.8B 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

Hy-MT2-1.8B has the lower input price; Hy-MT2-1.8B has the lower output price; DeepSeek V4 Flash 0731 offers the larger context window. For the 1M input plus 500K output sample, Hy-MT2-1.8B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.17 for DeepSeek V4 Flash 0731 and $0.13 for Hy-MT2-1.8B.

Best Fit

Choose DeepSeek V4 Flash 0731 when you care most about larger context window.

Choose Hy-MT2-1.8B when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.17 for DeepSeek V4 Flash 0731, saving $0.04 (22.1% lower).
  • Hy-MT2-1.8B is $0.04 cheaper on the standard workload (22.1% lower).
  • Hy-MT2-1.8B is $0.04 cheaper per 1M input tokens (45% lower; 1.82x difference).
  • Hy-MT2-1.8B is $0.003 cheaper per 1M output tokens (1.7% lower; 1.02x difference).
  • DeepSeek V4 Flash 0731 has 1.3M more context (160x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4 Flash 0731
(DeepSeek)		NewHy-MT2-1.8B
(Tencent)
Input Price
prompt tokens per 1M		$0.08$0.044
Completion Price
per 1M tokens		$0.18$0.177
Sample Workload Cost
1M input + 500K output		$0.17$0.13
Context Window1.31M8.19K
Release Date
Popularity#1

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionHy-MT2-1.8BOn the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.17 for DeepSeek V4 Flash 0731, saving $0.04 (22.1% lower).
High-volume input processingHy-MT2-1.8BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsHy-MT2-1.8BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workDeepSeek V4 Flash 0731A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • DeepSeek V4 Flash (free) can replace DeepSeek V4 Flash 0731 when lower sample workload cost matters most: $0.
  • DeepSeek V4 Flash 0423 can replace DeepSeek V4 Flash 0731 when lower sample workload cost matters most: $0.1.
  • Hy3 (free) can replace Hy-MT2-1.8B when lower sample workload cost matters most: $0.
Larger context near this budget
  • No larger-context model is currently tracked within a close sample-cost band.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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DeepSeek catalog

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Tencent catalog

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

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DeepSeek V4 Flash 0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....

Hy-MT2-1.8B

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided...