Can I run Gemini 2.0 Flash or Llama Guard 4 12B 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 Guard 4 12B?

Gemini 2.0 Flash has a larger context window at 1048K tokens vs 163K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Gemini 2.0 Flash vs Llama Guard 4 12B

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

Llama Guard 4 12B

Image input

Best $0.180 in · $0.180 out

Context window 164K

Pricing

Gemini 2.0 Flash is 44% cheaper on input. Llama Guard 4 12B is 55% 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	Gemini 2.0 Flash in	Gemini 2.0 Flash out	Llama Guard 4 12B in	Llama Guard 4 12B out
DeepInfra	N/A	N/A	$0.180	$0.180
Google	$0.100	$0.400	N/A	N/A
Google Vertex	$0.100	$0.400	N/A	N/A
Groq	$0.100	$0.400	$0.200	$0.200
Openrouter	N/A	N/A	$0.180	$0.180
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 Guard 4 12B

Context window: 1,048,576 tokens; 163,840 tokens
Max output tokens: 8,192 tokens; 163,840 tokens
Vision: Yes; Yes
Function calling: Yes; No
Streaming: Yes; No
Release date: Feb 2025; Apr 2025

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 Guard 4 12B

Requests / day

Input tokens

Output tokens

Gemini 2.0 Flash

Monthly

$90

Annual

$1.1K

Llama Guard 4 12B

Monthly

$81

Annual

$986

Save $9.00/month with Llama Guard 4 12B

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 163K.
High-volume text generation
Use Llama Guard 4 12B. Output tokens are 55% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Llama Guard 4 12B. Its 163K max output limit reduces the need to split requests.

Frequently asked questions

Gemini 2.0 Flash is cheaper on input tokens, while Llama Guard 4 12B is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

Other popular head-to-head matchups.