Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
Workload (per month)
Google: Gemini 2.0 Flash Lite
nvidia/bigvgan_v2_22khz_80band_256x
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$11.63
n/a
—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$12.00
n/a
—
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$12.60
n/a
—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$7.80
n/a
—
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$4.05
n/a
—
Capabilities side by side
Capability
Google: Gemini 2.0 Flash Lite
nvidia/bigvgan_v2_22khz_80band_256x
What it lets you do
Tool / function calling
✓ Yes
—
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
—
return JSON that validates against your schema
Reasoning / thinking mode
—
—
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
—
read screenshots, charts and scanned pages
Audio input
✓ Yes
✓ Yes
take speech or audio directly
File / PDF input
✓ Yes
—
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
—
—
answer from live web results
Seed (reproducible sampling)
✓ Yes
—
repeat a generation for tests and evals
Log-probabilities
—
—
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
Google: Gemini 2.0 Flash Lite: price unchanged since we started tracking it on 2026-03-10.
Which should you choose?
Choose Google: Gemini 2.0 Flash Lite if…
you need tool / function calling — to call your APIs and run agent loops; nvidia/bigvgan_v2_22khz_80band_256x does not advertise it
you need structured output (JSON schema) — to return JSON that validates against your schema; nvidia/bigvgan_v2_22khz_80band_256x does not advertise it
you need image input — to read screenshots, charts and scanned pages; nvidia/bigvgan_v2_22khz_80band_256x does not advertise it
you need file / PDF input — to accept documents without your own parsing step; nvidia/bigvgan_v2_22khz_80band_256x does not advertise it
you need seed (reproducible sampling) — to repeat a generation for tests and evals; nvidia/bigvgan_v2_22khz_80band_256x does not advertise it
Choose nvidia/bigvgan_v2_22khz_80band_256x if…
No advantage on the data we track — pick it for provider preference or output quality on your own prompts.
Frequently asked questions
Is Google: Gemini 2.0 Flash Lite better than nvidia/bigvgan_v2_22khz_80band_256x?
Google: Gemini 2.0 Flash Lite comes out ahead on the data we track: 5 advantages and none for nvidia/bigvgan_v2_22khz_80band_256x.
Do Google: Gemini 2.0 Flash Lite and nvidia/bigvgan_v2_22khz_80band_256x support function calling and JSON output?
Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5), all at extremely economical token prices.