Google: Gemini 3 Flash Preview (batch) vs Meta: Muse Spark 1.3 Contributor

Neither wins outright: Google: Gemini 3 Flash Preview (batch) is the pick when you need audio input, Meta: Muse Spark 1.3 Contributor when cost matters at scale.

Key numbers

SpecGoogle: Gemini 3 Flash Preview (batch)Meta: Muse Spark 1.3 Contributor
ProviderGoogleMeta
Input price (per 1M tokens)$0.25$0.10
Output price (per 1M tokens)$1.50$0.20
Blended price (3:1 input/output)$0.56$0.13
Cheaper than … of all models we track50%77%
Context window1.0M tokens (~1,573 pages)1.0M tokens (~1,573 pages)
Larger context than … of all models80%80%
Max output per response66K tokens (~49,200 words)944K tokens (~707,800 words)
Input typestext, image, file, audio, videotext, image, video, file
Output typestexttext
Free variantNoNo
Listed since2025-12-172026-09-02
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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 3 Flash Preview (batch)Meta: Muse Spark 1.3 ContributorDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$48.75$11.50Meta: Muse Spark 1.3 Contributor saves $37.25
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$45.00$14.00Meta: Muse Spark 1.3 Contributor saves $31.00
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)
$48.00$14.40Meta: Muse Spark 1.3 Contributor saves $33.60
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$29.00$9.20Meta: Muse Spark 1.3 Contributor saves $19.80
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$14.00$5.20Meta: Muse Spark 1.3 Contributor saves $8.80

Capabilities side by side

CapabilityGoogle: Gemini 3 Flash Preview (batch)Meta: Muse Spark 1.3 ContributorWhat it lets you do
Tool / function calling✓ Yes✓ Yescall your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode✓ Yes✓ Yesspend 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✓ Yesanswer 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 3 Flash Preview (batch) if…

  • you need audio input — to take speech or audio directly; Meta: Muse Spark 1.3 Contributor does not advertise it
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; Meta: Muse Spark 1.3 Contributor does not advertise it

Choose Meta: Muse Spark 1.3 Contributor if…

  • cost matters at scale — it is 78% cheaper on a typical 3:1 input/output mix ($11.50 vs $48.75 a month for 50,000 support chats)
  • you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
  • you want the newer model — released 2026-09-02, 9 months after the other

Frequently asked questions

Is Google: Gemini 3 Flash Preview (batch) better than Meta: Muse Spark 1.3 Contributor?

Neither wins outright: Google: Gemini 3 Flash Preview (batch) is the pick when you need audio input, Meta: Muse Spark 1.3 Contributor when cost matters at scale. In short: Google: Gemini 3 Flash Preview (batch) when you need audio input, you need seed (reproducible sampling); Meta: Muse Spark 1.3 Contributor when cost matters at scale, you generate long outputs in one go, you want the newer model.

Which is cheaper, Google: Gemini 3 Flash Preview (batch) or Meta: Muse Spark 1.3 Contributor?

Meta: Muse Spark 1.3 Contributor is cheaper: $0.13 vs $0.56 per 1M tokens at a typical 3:1 input/output mix, 78% less. For 50,000 support conversations a month that is $11.50 against $48.75.

How much do Google: Gemini 3 Flash Preview (batch) and Meta: Muse Spark 1.3 Contributor cost per million tokens?

Google: Gemini 3 Flash Preview (batch) costs $0.25 per 1M input tokens and $1.50 per 1M output tokens; Meta: Muse Spark 1.3 Contributor costs $0.10 input and $0.20 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Gemini 3 Flash Preview (batch) or Meta: Muse Spark 1.3 Contributor?

Both take 1.0M tokens per request — roughly 1,573 pages of text.

Do Google: Gemini 3 Flash Preview (batch) and Meta: Muse Spark 1.3 Contributor support function calling and JSON output?

Tool calling — Google: Gemini 3 Flash Preview (batch): yes, Meta: Muse Spark 1.3 Contributor: yes. JSON-schema structured output — Google: Gemini 3 Flash Preview (batch): yes, Meta: Muse Spark 1.3 Contributor: yes.

Can Google: Gemini 3 Flash Preview (batch) or Meta: Muse Spark 1.3 Contributor read images?

Yes, both accept image input.

Is Google: Gemini 3 Flash Preview (batch) or Meta: Muse Spark 1.3 Contributor free to use?

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

What is the maximum output length of Google: Gemini 3 Flash Preview (batch) and Meta: Muse Spark 1.3 Contributor?

Google: Gemini 3 Flash Preview (batch) can write up to 66K tokens (about 49,200 words) per response; Meta: Muse Spark 1.3 Contributor up to 944K (about 707,800 words).

When were Google: Gemini 3 Flash Preview (batch) and Meta: Muse Spark 1.3 Contributor released?

Google: Gemini 3 Flash Preview (batch) was listed on 2025-12-17; Meta: Muse Spark 1.3 Contributor on 2026-09-02.

About the two models

Compare Google: Gemini 3 Flash Preview (batch) with other models

Compare Meta: Muse Spark 1.3 Contributor with other models

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