Can I run Gemini 2.0 Flash or Llama V3 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 Gemini 2.0 Flash and Llama V3 8b?

Gemini 2.0 Flash has a larger context window at 1048K tokens vs 8K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Gemini 2.0 Flash vs Llama V3 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.

GoogleGemini 2.0

Model

Gemini 2.0 Flash

Image inputTool calling

Best $0.100 in · $0.400 out

Context window 1.0M

Pricing

Llama V3 8b

Best $0.200 in · $0.200 out

Context window 8K

Pricing

Gemini 2.0 Flash is 50% cheaper on input. Llama V3 8b is 50% 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 V3 8b in	Llama V3 8b out
Fireworks AI	N/A	N/A	$0.200	$0.200
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
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 V3 8b

Context window: 1,048,576 tokens; 8,192 tokens
Max output tokens: 8,192 tokens; 8,192 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 V3 8b

Requests / day

Input tokens

Output tokens

Gemini 2.0 Flash

Monthly

$90

Annual

$1.1K

Llama V3 8b

Monthly

$90

Annual

$1.1K

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 8K.
High-volume text generation
Use Llama V3 8b. Output tokens are 50% cheaper, which compounds significantly at scale.

Frequently asked questions

Gemini 2.0 Flash is cheaper on input tokens, while Llama V3 8b is cheaper on output. The best choice depends on your input/output ratio.

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