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Meta Llama 3 8B Instruct Lite vs Nvidia Nemotron Nano 9B V2

On provider list prices, Meta Llama 3 8B Instruct Lite costs $0.14 per million input tokens against $0.06 for Nvidia Nemotron Nano 9B V2: effectively level. Output is $0.14 against $0.25 (1.8x). On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3 8B Instruct Lite Nvidia Nemotron Nano 9B V2
LabMetaNvidia
AccessOpen weightsOpen weights
Context window8K tokens128K tokens
List price, input$0.14 / M tokens$0.06 / M tokens
List price, output$0.14 / M tokens$0.25 / M tokens
Cached inputn/an/a
LicenseLlama communityCustom license
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $159.50 a month on Nvidia Nemotron Nano 9B V2 and $217 on Meta Llama 3 8B Instruct Lite at list: a gap of $57.50, or 1.4x.

Nvidia Nemotron Nano 9B V2 reads 128K tokens per request against 8K for Meta Llama 3 8B Instruct Lite, 16.0x the window. That decides which one can take whole documents without splitting them.

Nvidia Nemotron Nano 9B V2$0.06$0.25
Meta Llama 3 8B Instruct Lite$0.14$0.14
InputOutput

Choose Meta Llama 3 8B Instruct Lite for

  • Training toward a model you own
Meta Llama 3 8B Instruct Lite details

Choose Nvidia Nemotron Nano 9B V2 for

  • The lower list price ($0.06 in / $0.25 out per M tokens)
  • The longer context window (128K vs 8K tokens)
Nvidia Nemotron Nano 9B V2 details

Common questions

Which is cheaper, Meta Llama 3 8B Instruct Lite or Nvidia Nemotron Nano 9B V2?

Nvidia Nemotron Nano 9B V2, on this workload shape. At list prices it is $0.06/$0.25 per million tokens in and out against $0.14/$0.14 for Meta Llama 3 8B Instruct Lite. Billed on Allocate: $0.064/$0.27 against $0.15/$0.15, list plus 7%.

Which has the bigger context window?

Nvidia Nemotron Nano 9B V2: 131,072 tokens (128K) against 8,192 (8K) for Meta Llama 3 8B Instruct Lite.

Can I fine-tune Meta Llama 3 8B Instruct Lite or Nvidia Nemotron Nano 9B V2?

Both publish open weights (Meta Llama 3 8B Instruct Lite: Llama community; Nvidia Nemotron Nano 9B V2: Custom license), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Meta Llama 3 8B Instruct Lite vs OpenAI GPT-OSS 20BNvidia Nemotron Nano 9B V2 vs DeepSeek R1 Distill Qwen 1.5B

Run the numbers on your workload

LLM price comparisonAgent cost calculatorMeta Llama 3 8B Instruct LiteNvidia Nemotron Nano 9B V2

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.

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