Can I run Gemini 2.0 Flash 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 Gemini 2.0 Flash and Llama 3 2 11b Vision?

Gemini 2.0 Flash has a larger context window at 1048K tokens vs 131K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Gemini 2.0 Flash 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.

GoogleGemini 2.0

Model

Gemini 2.0 Flash

Image inputTool calling

Best $0.100 in · $0.400 out

Context window 1.0M

Pricing

MetaLlama 3.2

Model

Llama 3 2 11b Vision

Best $0.049 in · $0.049 out

Context window 131K

Pricing

Llama 3 2 11b Vision is cheaper across the board — 51% cheaper on input and 87% cheaper on output.

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	Gemini 2.0 Flash in	Gemini 2.0 Flash out	Llama 3 2 11b Vision in	Llama 3 2 11b Vision out
Azure	N/A	N/A	$0.370	$0.370
DeepInfra	N/A	N/A	$0.049	$0.049
Google	$0.100	$0.400	N/A	N/A
Google Vertex	$0.100	$0.400	N/A	N/A
Groq	$0.100	$0.400	N/A	N/A
Ibm Watsonx	N/A	N/A	$0.350	$0.350
Openrouter	N/A	N/A	$0.245	$0.245
Vercel Ai Gateway	$0.150	$0.600	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 · Google · 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.

Google · 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

Gemini 2.0 Flash

Llama 3 2 11b Vision

Context window: 1,048,576 tokens; 131,072 tokens
Max output tokens: 8,192 tokens; 131,072 tokens
Vision: Yes; No
Function calling: Yes; No
Streaming: Yes; No
Release date: Feb 2025; N/A

Cost calculator

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

Gemini 2.0 Flash

Llama 3 2 11b Vision

Requests / day

Input tokens

Output tokens

Gemini 2.0 Flash

Monthly

$90

Annual

$1.1K

Llama 3 2 11b Vision

Monthly

$110

Annual

$1.3K

Save $20/month with Gemini 2.0 Flash

When to pick which

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

Long-context tasks
Use Gemini 2.0 Flash. Its 1048K context window handles large codebases and documents better than 131K.
High-volume text generation
Use Llama 3 2 11b Vision. Output tokens are 87% 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

Llama 3 2 11b Vision is cheaper on both input and output tokens.

More comparisons

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