NVIDIA · open-weight · Released 2024-05-21

Nemotron Nano Chat: pricing, context window and benchmarks

Nemotron Nano Chat is a open-weight model from NVIDIA. It offers a 32,768-token context window, costs $2.21 per million input tokens and $9.38 per million output tokens, and averages 66.2 across the index's benchmark suite.

visionopen weightsmultimodal
Input price
$2.21
per 1M tokens
Output price
$9.38
per 1M tokens
Context
32,768
tokens
Avg score
66.2
rank #394 of 600
Arena Elo
1331.6
modelled
Max output
32,768
tokens

Pricing

Nemotron Nano Chat costs $2.21 per million input tokens and $9.38 per million output tokens. A blended 3:1 input-to-output mix works out to about $4.00 per million tokens. Cached input is listed at $0.31 per million tokens.

ItemPriceNotes
Input$2.21per 1M tokens
Output$9.38per 1M tokens
Cached input$0.31per 1M tokens
Blended 3:1$4.00estimate per 1M tokens
1M in + 1M out$11.59estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.7 391 35th
GPQA Diamond 59.8 408 32th
SWE-bench Verified 54.0 393 35th
HumanEval 71.6 382 36th
MATH-500 67.7 402 33th
AIME 2025 61.5 379 37th
LiveCodeBench 54.4 410 32th
IFEval 74.2 403 33th
TruthfulQA 70.2 397 34th
HellaSwag 79.8 382 36th
MMMU 64.6 384 36th
Arena Elo 1331.6 386 36th

What Nemotron Nano Chat is good for

Nemotron Nano Chat is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $2.21 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.

Strengths

  • Input price of $2.21 per million tokens is at or below the index median.
  • Open weights make self-hosting, fine-tuning and data-residency review possible.
  • Accepts more than text, including image input where the provider supports it.

Trade-offs

  • Average benchmark score is below the index median; test it on your own task.

How it compares

ModelProviderContextInput / 1MAvg score
Nemotron Nano NVIDIA 8192 $2.24 66.6
Command A Nano Cohere 8192 $5.90 66.3
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Embed 4 Max Cohere 8192 $5.68 66.1
Sonar Pro Nano Perplexity 32768 $5.50 66.1

Browse all comparisons →

FAQ

How much does Nemotron Nano Chat cost?

Nemotron Nano Chat is listed at $2.21 per million input tokens and $9.38 per million output tokens. Cached input is $0.31 per million tokens. A blended 3:1 input-to-output mix is about $4.00 per million tokens.

What is the context window of Nemotron Nano Chat?

Nemotron Nano Chat has a context window of 32,768 tokens and can emit up to 32,768 output tokens per request in this index.

Is Nemotron Nano Chat open weights?

Yes. Nemotron Nano Chat is listed as an open-weight model under a open weights licence.

How does Nemotron Nano Chat score on benchmarks?

Nemotron Nano Chat averages 66.2 across the scored benchmarks in this index, ranking #394 of 600 models. Its strongest relative result is Arena Elo at 1331.6.

What is Nemotron Nano Chat best for?

Nemotron Nano Chat is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $2.21 per million input tokens (hosted list price) and a 32,768-token context window, it is a practical option for teams that want more control than a closed API allows.

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