Can I run Llama 3.1 70B or Nemotron Nano 12B 2 VL cheaper on another provider?

Some models are available on inference providers like Together AI, Groq, and Fireworks AI at lower prices. Check each model's pricing page for the full provider comparison.

What is the context window difference between Llama 3.1 70B and Nemotron Nano 12B 2 VL?

Nemotron Nano 12B 2 VL has a larger context window at 131K tokens vs 128K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Llama 3.1 70B vs Nemotron Nano 12B 2 VL

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

MetaLlama 3.1

Model

Llama 3.1 70B

Tool calling

Best $0.400 in · $0.400 out

Context window 128K

Pricing

Nvidia

Model

Nemotron Nano 12B 2 VL

Image input

Best $0.200 in · $0.600 out

Context window 131K

Pricing

Nemotron Nano 12B 2 VL is 50% cheaper on input. Llama 3.1 70B is 33% cheaper on output. The best choice depends on your input/output ratio.

Estimate cost

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

Provider	Llama 3.1 70B in	Llama 3.1 70B out	Nemotron Nano 12B 2 VL in	Nemotron Nano 12B 2 VL out
DeepInfra	$0.520	$0.750	N/A	N/A
Fireworks AI	$0.900	$0.900	N/A	N/A
Groq	$0.590	$0.790	N/A	N/A
Openrouter	$0.400	$0.400	$0.200	$0.600
Perplexity	$1.00	$1.00	N/A	N/A
Together AI	$0.880	$0.880	N/A	N/A
Vercel Ai Gateway	$0.720	$0.720	N/A	N/A

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · Meta · Nvidia

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

Meta · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Nvidia · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec

Llama 3.1 70B

Nemotron Nano 12B 2 VL

Context window: 128,000 tokens; 131,072 tokens
Max output tokens: 4,096 tokens; N/A
Vision: No; Yes
Function calling: Yes; No
Streaming: Yes; Yes
Release date: Jul 2024; Oct 2025

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

Llama 3.1 70B

Nemotron Nano 12B 2 VL

Requests / day

Input tokens

Output tokens

Llama 3.1 70B

Monthly

$324

Annual

$3.9K

Nemotron Nano 12B 2 VL

Monthly

$150

Annual

$1.8K

Save $174/month with Nemotron Nano 12B 2 VL

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

Long-context tasks
Use Nemotron Nano 12B 2 VL. Its 131K context window handles large codebases and documents better than 128K.
High-volume text generation
Use Llama 3.1 70B. Output tokens are 33% cheaper, which compounds significantly at scale.

Frequently asked questions

Nemotron Nano 12B 2 VL is cheaper on input tokens, while Llama 3.1 70B is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

Other popular head-to-head matchups.