API cost decision in 10 seconds

Nemotron Nano 9B V2 (free) vs R1

Pick Nemotron Nano 9B V2 (free) for lower cost; pick R1 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 Nano 9B V2 (free) for lower cost; pick R1 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $1.95 for R1, saving $1.95 (100% lower).

Cost-first pickNemotron Nano 9B V2 (free)
Context-first pickR1
Sample savings$1.95100%
10x traffic gap$19.5

R1 has more context, but Nemotron Nano 9B V2 (free) saves $1.95 on the standard workload. At 10x that traffic, the same price gap is about $19.5. 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 9B V2 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron Nano 9B V2 (free)R1
Input-heavy / RAG5M input + 500K outputNemotron Nano 9B V2 (free)$0$4.75
Balanced workload1M input + 1M outputNemotron Nano 9B V2 (free)$0$3.2
Output-heavy chatbot1M input + 5M outputNemotron Nano 9B V2 (free)$0$13.2
Cheaper input Nemotron Nano 9B V2 (free) $0 vs $0.7 / 1M

Nemotron Nano 9B V2 (free) is free for input tokens while R1 costs $0.7 per 1M tokens.

Cheaper output Nemotron Nano 9B V2 (free) $0 vs $2.5 / 1M

Nemotron Nano 9B V2 (free) is free for output tokens while R1 costs $2.5 per 1M tokens.

Larger context R1 128K vs 163.84K

R1 has 35.84K more context (1.28x larger).

Sample workload Nemotron Nano 9B V2 (free) $0 vs $1.95

Nemotron Nano 9B V2 (free) is free for the standard workload while the other model is estimated at $1.95.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron Nano 9B V2 (free) Calculating… Estimated API cost
R1 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 Nano 9B V2 (free) has the lower input price; Nemotron Nano 9B V2 (free) has the lower output price; R1 offers the larger context window. For the 1M input plus 500K output sample, Nemotron Nano 9B V2 (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Nemotron Nano 9B V2 (free) and $1.95 for R1.

Best Fit

Choose Nemotron Nano 9B V2 (free) when you care most about lower input-token price, and lower output-token price.

Choose R1 when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $1.95 for R1, saving $1.95 (100% lower).
  • Nemotron Nano 9B V2 (free) is free for the standard workload while the other model is estimated at $1.95.
  • Nemotron Nano 9B V2 (free) is free for input tokens while R1 costs $0.7 per 1M tokens.
  • Nemotron Nano 9B V2 (free) is free for output tokens while R1 costs $2.5 per 1M tokens.
  • R1 has 35.84K more context (1.28x larger).
Head-to-Head Specs
FeatureNemotron Nano 9B V2 (free)
(NVIDIA)
R1
(DeepSeek)
Input Price
prompt tokens per 1M
$0$0.7
Completion Price
per 1M tokens
$0$2.5
Sample Workload Cost
1M input + 500K output
$0$1.95
Context Window128K163.84K
Release Date
Popularity#107#144

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionNemotron Nano 9B V2 (free)On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $1.95 for R1, saving $1.95 (100% lower).
High-volume input processingNemotron Nano 9B V2 (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsNemotron Nano 9B V2 (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workR1A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
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

DeepSeek catalog

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

Open DeepSeek models
Nemotron Nano 9B V2 (free)

NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...

R1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....