API cost decision in 10 seconds

NewHy4 vs Nemotron 3.5 Super VL (free)

Pick Nemotron 3.5 Super VL (free) for lower cost; pick Hy4 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 Nemotron 3.5 Super VL (free) for lower cost; pick Hy4 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL (free) is estimated at $0 vs $1.04 for Hy4, saving $1.04 (100% lower).

Cost-first pickNemotron 3.5 Super VL (free)
Context-first pickHy4
Sample savings$1.04100%
10x traffic gap$10.42

Hy4 has more context, but Nemotron 3.5 Super VL (free) saves $1.04 on the standard workload. At 10x that traffic, the same price gap is about $10.42. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron 3.5 Super VL (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickHy4Nemotron 3.5 Super VL (free)
Input-heavy / RAG5M input + 500K outputNemotron 3.5 Super VL (free)$2.71$0
Balanced workload1M input + 1M outputNemotron 3.5 Super VL (free)$1.67$0
Output-heavy chatbot1M input + 5M outputNemotron 3.5 Super VL (free)$6.67$0
Cheaper input Nemotron 3.5 Super VL (free) $0.417 vs $0 / 1M

Nemotron 3.5 Super VL (free) is free for input tokens while Hy4 costs $0.42 per 1M tokens.

Cheaper output Nemotron 3.5 Super VL (free) $1.2505 vs $0 / 1M

Nemotron 3.5 Super VL (free) is free for output tokens while Hy4 costs $1.25 per 1M tokens.

Larger context Hy4 1.05M vs 1M

Hy4 has 48.58K more context (1.05x larger).

Sample workload Nemotron 3.5 Super VL (free) $1.04 vs $0

Nemotron 3.5 Super VL (free) is free for the standard workload while the other model is estimated at $1.04.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Hy4 Calculating… Estimated API cost
Nemotron 3.5 Super VL (free) 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

Nemotron 3.5 Super VL (free) has the lower input price; Nemotron 3.5 Super VL (free) has the lower output price; Hy4 offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3.5 Super VL (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $1.04 for Hy4 and $0 for Nemotron 3.5 Super VL (free).

Best Fit

Choose Hy4 when you care most about larger context window.

Choose Nemotron 3.5 Super VL (free) 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, Nemotron 3.5 Super VL (free) is estimated at $0 vs $1.04 for Hy4, saving $1.04 (100% lower).
  • Nemotron 3.5 Super VL (free) is free for the standard workload while the other model is estimated at $1.04.
  • Nemotron 3.5 Super VL (free) is free for input tokens while Hy4 costs $0.42 per 1M tokens.
  • Nemotron 3.5 Super VL (free) is free for output tokens while Hy4 costs $1.25 per 1M tokens.
  • Hy4 has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureNewHy4
(Tencent)
Nemotron 3.5 Super VL (free)
(NVIDIA)
Input Price
prompt tokens per 1M
$0.417$0
Completion Price
per 1M tokens
$1.2505$0
Sample Workload Cost
1M input + 500K output
$1.04$0
Context Window1.05M1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3.5 Super VL (free)On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL (free) is estimated at $0 vs $1.04 for Hy4, saving $1.04 (100% lower).
High-volume input processingNemotron 3.5 Super VL (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron 3.5 Super VL (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workHy4A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Hy3 (free) can replace Hy4 when lower sample workload cost matters most: $0.
  • Hy-MT2-1.8B can replace Hy4 when lower sample workload cost matters most: $0.13.
  • Hy-MT2-30B-A3B can replace Hy4 when lower sample workload cost matters most: $0.22.
  • Hy-MT2-7B can replace Hy4 when lower sample workload cost matters most: $0.22.
Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
  • GPT-5.6 Luna offers 1.05M context with $0.8 sample workload cost.
  • GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

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.

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NVIDIA catalog

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

Open NVIDIA models
Hy4

The official release of Hy4 delivers comprehensive and substantial improvements over Hy4 Preview, with particularly strong gains in agentic capabilities and performance across a wide range of long-horizon, real-world productivity...

Nemotron 3.5 Super VL (free)

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...