API cost decision in 10 seconds

NewMercury 3 vs NewNemotron 3.5 Super VL

Pick Mercury 3 for lower cost; pick Nemotron 3.5 Super VL 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 Mercury 3 for lower cost; pick Nemotron 3.5 Super VL only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Mercury 3 is estimated at $0.28 vs $0.3 for Nemotron 3.5 Super VL, saving $0.03 (8.3% lower).

Cost-first pickMercury 3
Context-first pickNemotron 3.5 Super VL
Sample savings$0.038.3%
10x traffic gap$0.25

Nemotron 3.5 Super VL has more context, but Mercury 3 saves $0.03 on the standard workload. At 10x that traffic, the same price gap is about $0.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Mercury 3 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickMercury 3Nemotron 3.5 Super VL
Input-heavy / RAG5M input + 500K outputMercury 3$0.68$0.7
Balanced workload1M input + 1M outputMercury 3$0.45$0.5
Output-heavy chatbot1M input + 5M outputMercury 3$1.85$2.1
Cheaper input Tie $0.1 vs $0.1 / 1M

Both models report the same input price at $0.1 per 1M tokens.

Cheaper output Mercury 3 $0.35 vs $0.4 / 1M

Mercury 3 is $0.05 cheaper per 1M output tokens (12.5% lower; 1.14x difference).

Larger context Nemotron 3.5 Super VL 1M vs 1.05M

Nemotron 3.5 Super VL has 48.58K more context (1.05x larger).

Sample workload Mercury 3 $0.28 vs $0.3

Mercury 3 is $0.03 cheaper on the standard workload (8.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Mercury 3 Calculating… Estimated API cost
Nemotron 3.5 Super VL 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

both models tie on input price; Mercury 3 has the lower output price; Nemotron 3.5 Super VL offers the larger context window. For the 1M input plus 500K output sample, Mercury 3 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.28 for Mercury 3 and $0.3 for Nemotron 3.5 Super VL.

Best Fit

Choose Mercury 3 when you care most about lower output-token price.

Choose Nemotron 3.5 Super VL when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Mercury 3 is estimated at $0.28 vs $0.3 for Nemotron 3.5 Super VL, saving $0.03 (8.3% lower).
  • Mercury 3 is $0.03 cheaper on the standard workload (8.3% lower).
  • Both models report the same input price at $0.1 per 1M tokens.
  • Mercury 3 is $0.05 cheaper per 1M output tokens (12.5% lower; 1.14x difference).
  • Nemotron 3.5 Super VL has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureNewMercury 3
(Inception)
NewNemotron 3.5 Super VL
(NVIDIA)
Input Price
prompt tokens per 1M
$0.1$0.1
Completion Price
per 1M tokens
$0.35$0.4
Sample Workload Cost
1M input + 500K output
$0.28$0.3
Context Window1M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionMercury 3On the standard 1M input plus 500K output workload, Mercury 3 is estimated at $0.28 vs $0.3 for Nemotron 3.5 Super VL, saving $0.03 (8.3% lower).
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsMercury 3Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNemotron 3.5 Super VLA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Larger context near this budget
  • Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
  • MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
  • GPT-6 Luna offers 1.05M context with $0.35 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

Inception catalog

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

Open Inception models

NVIDIA catalog

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

Open NVIDIA models
Mercury 3

Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...

Nemotron 3.5 Super VL

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...