Can I run Apac Amazon Nova Micro V1 0 or Llama 3 2 11b Vision 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 Apac Amazon Nova Micro V1 0 and Llama 3 2 11b Vision?

Llama 3 2 11b Vision has a larger context window at 131K tokens vs 128K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Apac Amazon Nova Micro V1 0 vs Llama 3 2 11b Vision

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.

Amazon

Model

Apac Amazon Nova Micro V1 0

Tool calling

Best $0.037 in · $0.148 out

Context window 128K

Pricing

MetaLlama 3.2

Model

Llama 3 2 11b Vision

Best $0.049 in · $0.049 out

Context window 131K

Pricing

Apac Amazon Nova Micro V1 0 is 24% cheaper on input. Llama 3 2 11b Vision is 66% 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	Apac Amazon Nova Micro V1 0 in	Apac Amazon Nova Micro V1 0 out	Llama 3 2 11b Vision in	Llama 3 2 11b Vision out
Aws Bedrock	$0.037	$0.148	N/A	N/A
Azure	N/A	N/A	$0.370	$0.370
DeepInfra	N/A	N/A	$0.049	$0.049
Ibm Watsonx	N/A	N/A	$0.350	$0.350
Openrouter	N/A	N/A	$0.345	$0.345

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 · Amazon · Meta

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.

Amazon · 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).

Meta · 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

Apac Amazon Nova Micro V1 0

Llama 3 2 11b Vision

Context window: 128,000 tokens; 131,072 tokens
Max output tokens: 10,000 tokens; 131,072 tokens
Vision: No; No
Function calling: Yes; No
Streaming: No; No
Release date: N/A; N/A

Cost calculator

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

Apac Amazon Nova Micro V1 0

Llama 3 2 11b Vision

Requests / day

Input tokens

Output tokens

Apac Amazon Nova Micro V1 0

Monthly

$33

Annual

$405

Llama 3 2 11b Vision

Monthly

$155

Annual

$1.9K

Save $122/month with Apac Amazon Nova Micro V1 0

When to pick which

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

Long-context tasks
Use Llama 3 2 11b Vision. Its 131K context window handles large codebases and documents better than 128K.
High-volume text generation
Use Llama 3 2 11b Vision. Output tokens are 66% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Llama 3 2 11b Vision. Its 131K max output limit reduces the need to split requests.

Frequently asked questions

Apac Amazon Nova Micro V1 0 is cheaper on input tokens, while Llama 3 2 11b Vision is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

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