API cost decision in 10 seconds

Nova Premier 1.0 vs Nemotron Nano 12B 2 VL (free)

Pick Nemotron Nano 12B 2 VL (free) for lower cost; pick Nova Premier 1.0 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 Nano 12B 2 VL (free) for lower cost; pick Nova Premier 1.0 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $8.75 for Nova Premier 1.0, saving $8.75 (100% lower).

Cost-first pickNemotron Nano 12B 2 VL (free)
Context-first pickNova Premier 1.0
Sample savings$8.75100%
10x traffic gap$87.5

Nova Premier 1.0 has more context, but Nemotron Nano 12B 2 VL (free) saves $8.75 on the standard workload. At 10x that traffic, the same price gap is about $87.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Nemotron Nano 12B 2 VL (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNova Premier 1.0Nemotron Nano 12B 2 VL (free)
Input-heavy / RAG 5M input + 500K output Nemotron Nano 12B 2 VL (free) $18.75 $0
Balanced workload 1M input + 1M output Nemotron Nano 12B 2 VL (free) $15 $0
Output-heavy chatbot 1M input + 5M output Nemotron Nano 12B 2 VL (free) $65 $0
Cheaper inputNemotron Nano 12B 2 VL (free)$2.5 vs $0 / 1M
Cheaper outputNemotron Nano 12B 2 VL (free)$12.5 vs $0 / 1M
Larger contextNova Premier 1.01M vs 128K
Sample workloadNemotron Nano 12B 2 VL (free)$8.75 vs $0

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nova Premier 1.0Calculating…Estimated API cost
Nemotron Nano 12B 2 VL (free)Calculating…Estimated API cost
Cheaper for this workloadCalculating…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 Nano 12B 2 VL (free) has the lower input price, Nemotron Nano 12B 2 VL (free) has the lower output price, and Nova Premier 1.0 offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $8.75 for Nova Premier 1.0 and $0 for Nemotron Nano 12B 2 VL (free).

Best Fit

Choose Nova Premier 1.0 when you care most about larger context window.

Choose Nemotron Nano 12B 2 VL (free) when you care most about lower input-token price, and lower output-token price.

Head-to-Head Specs
FeatureNova Premier 1.0
(Amazon)
Nemotron Nano 12B 2 VL (free)
(NVIDIA)
Input Price
prompt tokens per 1M
$2.5$0
Completion Price
per 1M tokens
$12.5$0
Sample Workload Cost
1M input + 500K output
$8.75$0
Context Window1M128K
Release Date2025-10-312025-10-28
Nova Premier 1.0

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

Nemotron Nano 12B 2 VL (free)

NVIDIA Nemotron Nano 2 VL is a 12-billion-parameter open multimodal reasoning model designed for video understanding and document intelligence. It introduces a hybrid Transformer-Mamba architecture, combining transformer-level accuracy with Mamba’s...

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron Nano 12B 2 VL (free)On the standard 1M input plus 500K output workload, Nemotron Nano 12B 2 VL (free) is estimated at $0 vs $8.75 for Nova Premier 1.0, saving $8.75 (100% lower).
High-volume input processingNemotron Nano 12B 2 VL (free)Lower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsNemotron Nano 12B 2 VL (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNova Premier 1.0A larger context window leaves more room for retrieved passages and source files.