Can I run Amazon Nova Lite V1 0 or Dobby Mini Unhinged Plus Llama 3 1 8b 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 Amazon Nova Lite V1 0 and Dobby Mini Unhinged Plus Llama 3 1 8b?

Amazon Nova Lite V1 0 has a larger context window at 300K tokens vs 131K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Amazon Nova Lite V1 0 vs Dobby Mini Unhinged Plus Llama 3 1 8b

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

Amazon Nova Lite V1 0

Image inputTool calling

Best $0.060 in · $0.240 out

Context window 300K

Pricing

MetaLlama 3.1

Model

Dobby Mini Unhinged Plus Llama 3 1 8b

Best $0.200 in · $0.200 out

Context window 131K

Pricing

Amazon Nova Lite V1 0 is 70% cheaper on input. Dobby Mini Unhinged Plus Llama 3 1 8b is 16% 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	Amazon Nova Lite V1 0 in	Amazon Nova Lite V1 0 out	Dobby Mini Unhinged Plus Llama 3 1 8b in	Dobby Mini Unhinged Plus Llama 3 1 8b out
Aws Bedrock	$0.060	$0.240	N/A	N/A
Fireworks AI	N/A	N/A	$0.200	$0.200

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

Amazon Nova Lite V1 0

Dobby Mini Unhinged Plus Llama 3 1 8b

Context window: 300,000 tokens; 131,072 tokens
Max output tokens: 10,000 tokens; 131,072 tokens
Vision: Yes; 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.

Amazon Nova Lite V1 0

Dobby Mini Unhinged Plus Llama 3 1 8b

Requests / day

Input tokens

Output tokens

Amazon Nova Lite V1 0

Monthly

$54

Annual

$657

Dobby Mini Unhinged Plus Llama 3 1 8b

Monthly

$90

Annual

$1.1K

Save $36/month with Amazon Nova Lite V1 0

When to pick which

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

Long-context tasks
Use Amazon Nova Lite V1 0. Its 300K context window handles large codebases and documents better than 131K.
High-volume text generation
Use Dobby Mini Unhinged Plus Llama 3 1 8b. Output tokens are 16% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Dobby Mini Unhinged Plus Llama 3 1 8b. Its 131K max output limit reduces the need to split requests.

Frequently asked questions

Amazon Nova Lite V1 0 is cheaper on input tokens, while Dobby Mini Unhinged Plus Llama 3 1 8b is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

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