Google: Gemini 3 Flash Preview vs Meta: Muse Wonder
Neither wins outright: Google: Gemini 3 Flash Preview is the pick when cost matters at scale, Meta: Muse Wonder when you generate long outputs in one go.
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
Meta: Muse Wonder
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$97.50
$700
Google: Gemini 3 Flash Preview saves $603
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$90.00
$680
Google: Gemini 3 Flash Preview saves $590
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)
$96.00
$720
Google: Gemini 3 Flash Preview saves $624
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$58.00
$440
Google: Gemini 3 Flash Preview saves $382
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$28.00
$220
Google: Gemini 3 Flash Preview saves $192
Capabilities side by side
Capability
Google: Gemini 3 Flash Preview
Meta: Muse Wonder
What it lets you do
Tool / function calling
✓ Yes
✓ Yes
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
✓ Yes
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
✓ Yes
spend extra tokens thinking before answering hard problems
Image input
✓ Yes
✓ Yes
read screenshots, charts and scanned pages
Audio input
✓ Yes
✓ 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
✓ Yes
✓ 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
Google: Gemini 3 Flash Preview: price unchanged since we started tracking it on 2026-03-10.
Meta: Muse Wonder: price unchanged since we started tracking it on 2026-10-13.
Which should you choose?
Choose Google: Gemini 3 Flash Preview if…
cost matters at scale — it is 86% cheaper on a typical 3:1 input/output mix ($97.50 vs $700 a month for 50,000 support chats)
you need seed (reproducible sampling) — to repeat a generation for tests and evals; Meta: Muse Wonder does not advertise it
Choose Meta: Muse Wonder if…
you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
you want the newer model — released 2026-10-12, 10 months after the other
Frequently asked questions
Is Google: Gemini 3 Flash Preview better than Meta: Muse Wonder?
Neither wins outright: Google: Gemini 3 Flash Preview is the pick when cost matters at scale, Meta: Muse Wonder when you generate long outputs in one go. In short: Google: Gemini 3 Flash Preview when cost matters at scale, you need seed (reproducible sampling); Meta: Muse Wonder when you generate long outputs in one go, you want the newer model.
Which is cheaper, Google: Gemini 3 Flash Preview or Meta: Muse Wonder?
Google: Gemini 3 Flash Preview is cheaper: $1.13 vs $8.00 per 1M tokens at a typical 3:1 input/output mix, 86% less. For 50,000 support conversations a month that is $97.50 against $700.
How much do Google: Gemini 3 Flash Preview and Meta: Muse Wonder cost per million tokens?
Google: Gemini 3 Flash Preview costs $0.50 per 1M input tokens and $3.00 per 1M output tokens; Meta: Muse Wonder costs $4.00 input and $20.00 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, Google: Gemini 3 Flash Preview or Meta: Muse Wonder?
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Do Google: Gemini 3 Flash Preview and Meta: Muse Wonder support function calling and JSON output?
Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool...
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...