API cost decision in 10 seconds

NewNemotron 3.5 Super VL vs Fugu Ultra v2

Pick Nemotron 3.5 Super VL when budget and context both matter.

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 when budget and context both matter.

On the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL is estimated at $0.4 vs $20 for Fugu Ultra v2, saving $19.6 (98% lower).

Cost-first pickNemotron 3.5 Super VL
Context-first pickNemotron 3.5 Super VL
Sample savings$19.698%
10x traffic gap$196

Nemotron 3.5 Super VL is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $196. 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 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3.5 Super VLFugu Ultra v2
Input-heavy / RAG5M input + 500K outputNemotron 3.5 Super VL$1$40
Balanced workload1M input + 1M outputNemotron 3.5 Super VL$0.65$35
Output-heavy chatbot1M input + 5M outputNemotron 3.5 Super VL$2.65$155
Cheaper input Nemotron 3.5 Super VL $0.15 vs $5 / 1M

Nemotron 3.5 Super VL is $4.85 cheaper per 1M input tokens (97% lower; 33.3x difference).

Cheaper output Nemotron 3.5 Super VL $0.5 vs $30 / 1M

Nemotron 3.5 Super VL is $29.5 cheaper per 1M output tokens (98.3% lower; 60x difference).

Larger context Nemotron 3.5 Super VL 1.05M vs 1M

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

Sample workload Nemotron 3.5 Super VL $0.4 vs $20

Nemotron 3.5 Super VL is $19.6 cheaper on the standard workload (98% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3.5 Super VL Calculating… Estimated API cost
Fugu Ultra v2 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 has the lower input price; Nemotron 3.5 Super VL has the lower output price; Nemotron 3.5 Super VL offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3.5 Super VL is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for Nemotron 3.5 Super VL and $20 for Fugu Ultra v2.

Best Fit

Choose Nemotron 3.5 Super VL when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Fugu Ultra v2 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, Nemotron 3.5 Super VL is estimated at $0.4 vs $20 for Fugu Ultra v2, saving $19.6 (98% lower).
  • Nemotron 3.5 Super VL is $19.6 cheaper on the standard workload (98% lower).
  • Nemotron 3.5 Super VL is $4.85 cheaper per 1M input tokens (97% lower; 33.3x difference).
  • Nemotron 3.5 Super VL is $29.5 cheaper per 1M output tokens (98.3% lower; 60x difference).
  • Nemotron 3.5 Super VL has 48.58K more context (1.05x larger).
Head-to-Head Specs
FeatureNewNemotron 3.5 Super VL
(NVIDIA)
Fugu Ultra v2
(Sakana)
Input Price
prompt tokens per 1M
$0.15$5
Completion Price
per 1M tokens
$0.5$30
Sample Workload Cost
1M input + 500K output
$0.4$20
Context Window1.05M1M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3.5 Super VLOn the standard 1M input plus 500K output workload, Nemotron 3.5 Super VL is estimated at $0.4 vs $20 for Fugu Ultra v2, saving $19.6 (98% lower).
High-volume input processingNemotron 3.5 Super VLLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron 3.5 Super VLLower 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

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

NVIDIA catalog

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

Open NVIDIA models

Sakana catalog

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

Open Sakana models
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...

Fugu Ultra v2

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...