ModelsAtlas
Explore

Google: Gemini 2.5 Flash vs ScaleDown: Summarize

Neither wins outright: Google: Gemini 2.5 Flash is the pick when you need tool / function calling, ScaleDown: Summarize when cost matters at scale.

Key numbers

SpecGoogle: Gemini 2.5 FlashScaleDown: Summarize
ProviderGoogleScaledown
Input price (per 1M tokens)$0.30$0.04
Output price (per 1M tokens)$2.50$0
Blended price (3:1 input/output)$0.85$0.03
Cheaper than … of all models we track43%89%
Context window1.0M tokens (~1,573 pages)1M tokens (~1,500 pages)
Larger context than … of all models81%69%
Max output per response66K tokens (~49,200 words)4K tokens (~3,000 words)
Input typesfile, image, text, audio, videotext, image, file
Output typestexttext
Free variantNoNo
Listed since2025-06-172026-10-13

What it costs for real workloads

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 2.5 FlashScaleDown: SummarizeDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$72.50$3.00ScaleDown: Summarize saves $69.50
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$61.00$4.80ScaleDown: Summarize saves $56.20
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)
$66.00$4.80ScaleDown: Summarize saves $61.20
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$39.00$3.20ScaleDown: Summarize saves $35.80
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$17.50$2.00ScaleDown: Summarize saves $15.50

Capabilities side by side

CapabilityGoogle: Gemini 2.5 FlashScaleDown: SummarizeWhat 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✓ Yes—spend extra tokens thinking before answering hard problems
Image input✓ Yes✓ Yesread screenshots, charts and scanned pages
Audio input✓ Yes—take speech or audio directly
File / PDF input✓ Yes✓ Yesaccept documents without your own parsing step
Image output——generate images, not just text
Built-in web search✓ Yes—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

Which should you choose?

Choose Google: Gemini 2.5 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 reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; ScaleDown: Summarize does not advertise it
  • you need audio input — to take speech or audio directly; ScaleDown: Summarize does not advertise it
  • you need built-in web search — to answer from live web results; 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 66K tokens (about 49,200 words) per response

Choose ScaleDown: Summarize if…

  • cost matters at scale — it is 96% cheaper on a typical 3:1 input/output mix ($3.00 vs $72.50 a month for 50,000 support chats)
  • you want the newer model — released 2026-10-13, 16 months after the other

Frequently asked questions

Is Google: Gemini 2.5 Flash better than ScaleDown: Summarize?

Neither wins outright: Google: Gemini 2.5 Flash is the pick when you need tool / function calling, ScaleDown: Summarize when cost matters at scale. In short: Google: Gemini 2.5 Flash when you need tool / function calling, you need structured output (JSON schema), you need reasoning / thinking mode, you need audio input, you need built-in web search, 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 2.5 Flash or ScaleDown: Summarize?

ScaleDown: Summarize is cheaper: $0.03 vs $0.85 per 1M tokens at a typical 3:1 input/output mix, 96% less. For 50,000 support conversations a month that is $3.00 against $72.50.

How much do Google: Gemini 2.5 Flash and ScaleDown: Summarize cost per million tokens?

Google: Gemini 2.5 Flash costs $0.30 per 1M input tokens and $2.50 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 2.5 Flash or ScaleDown: Summarize?

Google: Gemini 2.5 Flash: 1.0M tokens, about 1,573 pages, against 1M (about 1,500 pages) for ScaleDown: Summarize.

Do Google: Gemini 2.5 Flash and ScaleDown: Summarize support function calling and JSON output?

Tool calling — Google: Gemini 2.5 Flash: yes, ScaleDown: Summarize: not advertised. JSON-schema structured output — Google: Gemini 2.5 Flash: yes, ScaleDown: Summarize: not advertised.

Can Google: Gemini 2.5 Flash or ScaleDown: Summarize read images?

Yes, both accept image input.

Is Google: Gemini 2.5 Flash or ScaleDown: Summarize free to use?

No free variant is listed for either; both are pay-per-token.

What is the maximum output length of Google: Gemini 2.5 Flash and ScaleDown: Summarize?

Google: Gemini 2.5 Flash can write up to 66K tokens (about 49,200 words) per response; ScaleDown: Summarize up to 4K (about 3,000 words).

When were Google: Gemini 2.5 Flash and ScaleDown: Summarize released?

Google: Gemini 2.5 Flash was listed on 2025-06-17; ScaleDown: Summarize on 2026-10-13.

About the two models

Google

Google: Gemini 2.5 Flash

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

Full Google: Gemini 2.5 Flash specs →

Compare Google: Gemini 2.5 Flash with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0

Compare ScaleDown: Summarize with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0
Advertisement