API cost decision in 10 seconds

Nemotron 3 Super vs GPT-5.4

Pick Nemotron 3 Super for lower cost; pick GPT-5.4 only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Nemotron 3 Super for lower cost; pick GPT-5.4 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $10 for GPT-5.4, saving $9.69 (96.9% lower).

Cost-first pickNemotron 3 Super
Context-first pickGPT-5.4
Sample savings$9.6996.9%
10x traffic gap$96.85

GPT-5.4 has more context, but Nemotron 3 Super saves $9.69 on the standard workload. At 10x that traffic, the same price gap is about $96.85. 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 Super stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3 SuperGPT-5.4
Input-heavy / RAG5M input + 500K outputNemotron 3 Super$0.68$20
Balanced workload1M input + 1M outputNemotron 3 Super$0.54$17.5
Output-heavy chatbot1M input + 5M outputNemotron 3 Super$2.34$77.5
Cheaper input Nemotron 3 Super $0.09 vs $2.5 / 1M

Nemotron 3 Super is $2.41 cheaper per 1M input tokens (96.4% lower; 27.8x difference).

Cheaper output Nemotron 3 Super $0.45 vs $15 / 1M

Nemotron 3 Super is $14.55 cheaper per 1M output tokens (97% lower; 33.3x difference).

Larger context GPT-5.4 1M vs 1.05M

GPT-5.4 has 50K more context (1.05x larger).

Sample workload Nemotron 3 Super $0.32 vs $10

Nemotron 3 Super is $9.69 cheaper on the standard workload (96.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3 Super Calculating… Estimated API cost
GPT-5.4 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 Super has the lower input price; Nemotron 3 Super has the lower output price; GPT-5.4 offers the larger context window. For the 1M input plus 500K output sample, Nemotron 3 Super is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.32 for Nemotron 3 Super and $10 for GPT-5.4.

Best Fit

Choose Nemotron 3 Super when you care most about lower input-token price, and lower output-token price.

Choose GPT-5.4 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $10 for GPT-5.4, saving $9.69 (96.9% lower).
  • Nemotron 3 Super is $9.69 cheaper on the standard workload (96.9% lower).
  • Nemotron 3 Super is $2.41 cheaper per 1M input tokens (96.4% lower; 27.8x difference).
  • Nemotron 3 Super is $14.55 cheaper per 1M output tokens (97% lower; 33.3x difference).
  • GPT-5.4 has 50K more context (1.05x larger).
Head-to-Head Specs
FeatureNemotron 3 Super
(NVIDIA)
GPT-5.4
(OpenAI)
Input Price
prompt tokens per 1M
$0.09$2.5
Completion Price
per 1M tokens
$0.45$15
Sample Workload Cost
1M input + 500K output
$0.32$10
Context Window1M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron 3 SuperOn the standard 1M input plus 500K output workload, Nemotron 3 Super is estimated at $0.32 vs $10 for GPT-5.4, saving $9.69 (96.9% lower).
High-volume input processingNemotron 3 SuperLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron 3 SuperLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.4A larger context window leaves more room for retrieved passages, conversation history, or source files.

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NVIDIA catalog

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OpenAI catalog

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NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

GPT-5.4

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...