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
ScaleDown: Summarize
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$15.50
$3.00
ScaleDown: Summarize saves $12.50
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$16.00
$4.80
ScaleDown: Summarize saves $11.20
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)
$16.80
$4.80
ScaleDown: Summarize saves $12.00
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$10.40
$3.20
ScaleDown: Summarize saves $7.20
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$5.40
$2.00
ScaleDown: Summarize saves $3.40
Capabilities side by side
Capability
Google: Gemini 2.0 Flash
ScaleDown: Summarize
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
✓ Yes
read screenshots, charts and scanned pages
Audio input
✓ Yes
—
take speech or audio directly
File / PDF input
✓ Yes
✓ 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: price unchanged since we started tracking it on 2026-03-10.
ScaleDown: Summarize: price unchanged since we started tracking it on 2026-10-14.
Which should you choose?
Choose Google: Gemini 2.0 Flash if…
you need tool / function calling — to call your APIs and run agent loops; ScaleDown: Summarize does not advertise it
you need structured output (JSON schema) — to return JSON that validates against your schema; ScaleDown: Summarize does not advertise it
you need audio input — to take speech or audio directly; ScaleDown: Summarize does not advertise it
you need seed (reproducible sampling) — to repeat a generation for tests and evals; ScaleDown: Summarize does not advertise it
you generate long outputs in one go — up to 8K tokens (about 6,100 words) per response
Choose ScaleDown: Summarize if…
cost matters at scale — it is 83% cheaper on a typical 3:1 input/output mix ($3.00 vs $15.50 a month for 50,000 support chats)
you want the newer model — released 2026-10-13, 21 months after the other
Frequently asked questions
Is Google: Gemini 2.0 Flash better than ScaleDown: Summarize?
Neither wins outright: Google: Gemini 2.0 Flash is the pick when you need tool / function calling, ScaleDown: Summarize when cost matters at scale. In short: Google: Gemini 2.0 Flash when you need tool / function calling, you need structured output (JSON schema), you need audio input, you need seed (reproducible sampling), you generate long outputs in one go; ScaleDown: Summarize when cost matters at scale, you want the newer model.
Which is cheaper, Google: Gemini 2.0 Flash or ScaleDown: Summarize?
ScaleDown: Summarize is cheaper: $0.03 vs $0.18 per 1M tokens at a typical 3:1 input/output mix, 83% less. For 50,000 support conversations a month that is $3.00 against $15.50.
How much do Google: Gemini 2.0 Flash and ScaleDown: Summarize cost per million tokens?
Google: Gemini 2.0 Flash costs $0.10 per 1M input tokens and $0.40 per 1M output tokens; ScaleDown: Summarize costs $0.04 input and $0 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Google: Gemini 2.0 Flash or ScaleDown: Summarize?
Google: Gemini 2.0 Flash: 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for ScaleDown: Summarize.
Do Google: Gemini 2.0 Flash and ScaleDown: Summarize support function calling and JSON output?
Gemini Flash 2.0 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). It introduces notable enhancements in multimodal understanding, coding capabilities, complex instruction following, and function calling. These advancements come together to deliver more seamless and robust agentic experiences.
Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, and is suited for...