API cost decision in 10 seconds

NewHy-MT2-1.8B vs Nemotron 3.5 Content Safety

Pick Hy-MT2-1.8B for lower cost; pick Nemotron 3.5 Content Safety 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 Nemotron 3.5 Content Safety 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 $0.3 for Nemotron 3.5 Content Safety, saving $0.17 (55.8% lower).

Cost-first pickHy-MT2-1.8B
Context-first pickNemotron 3.5 Content Safety
Sample savings$0.1755.8%
10x traffic gap$1.68

Nemotron 3.5 Content Safety has more context, but Hy-MT2-1.8B saves $0.17 on the standard workload. At 10x that traffic, the same price gap is about $1.68. 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 pickHy-MT2-1.8BNemotron 3.5 Content Safety
Input-heavy / RAG5M input + 500K outputHy-MT2-1.8B$0.31$1.1
Balanced workload1M input + 1M outputHy-MT2-1.8B$0.22$0.4
Output-heavy chatbot1M input + 5M outputHy-MT2-1.8B$0.93$1.2
Cheaper input Hy-MT2-1.8B $0.044 vs $0.2 / 1M

Hy-MT2-1.8B is $0.16 cheaper per 1M input tokens (78% lower; 4.55x difference).

Cheaper output Hy-MT2-1.8B $0.177 vs $0.2 / 1M

Hy-MT2-1.8B is $0.02 cheaper per 1M output tokens (11.5% lower; 1.13x difference).

Larger context Nemotron 3.5 Content Safety 8.19K vs 131.07K

Nemotron 3.5 Content Safety has 122.88K more context (16x larger).

Sample workload Hy-MT2-1.8B $0.13 vs $0.3

Hy-MT2-1.8B is $0.17 cheaper on the standard workload (55.8% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy-MT2-1.8B Calculating… Estimated API cost
Nemotron 3.5 Content Safety 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; Nemotron 3.5 Content Safety 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 $0.13 for Hy-MT2-1.8B and $0.3 for Nemotron 3.5 Content Safety.

Best Fit

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

Choose Nemotron 3.5 Content Safety when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Hy-MT2-1.8B is estimated at $0.13 vs $0.3 for Nemotron 3.5 Content Safety, saving $0.17 (55.8% lower).
  • Hy-MT2-1.8B is $0.17 cheaper on the standard workload (55.8% lower).
  • Hy-MT2-1.8B is $0.16 cheaper per 1M input tokens (78% lower; 4.55x difference).
  • Hy-MT2-1.8B is $0.02 cheaper per 1M output tokens (11.5% lower; 1.13x difference).
  • Nemotron 3.5 Content Safety has 122.88K more context (16x larger).
Head-to-Head Specs
FeatureNewHy-MT2-1.8B
(Tencent)
Nemotron 3.5 Content Safety
(NVIDIA)
Input Price
prompt tokens per 1M
$0.044$0.2
Completion Price
per 1M tokens
$0.177$0.2
Sample Workload Cost
1M input + 500K output
$0.13$0.3
Context Window8.19K131.07K
Release Date

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 $0.3 for Nemotron 3.5 Content Safety, saving $0.17 (55.8% 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 workNemotron 3.5 Content SafetyA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Cheaper alternatives

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

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Tencent catalog

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

Open Tencent models

NVIDIA catalog

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

Open NVIDIA models
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...

Nemotron 3.5 Content Safety

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses from LLMs and VLMs, accepting...