Google: Gemini 3.1 Pro Preview Custom Tools vs Meta: Muse Spark Open

Neither wins outright: Google: Gemini 3.1 Pro Preview Custom Tools is the pick when you need built-in web search, Meta: Muse Spark Open when cost matters at scale.

Key numbers

SpecGoogle: Gemini 3.1 Pro Preview Custom ToolsMeta: Muse Spark Open
ProviderGoogleMeta
Input price (per 1M tokens)$2.00$1.25
Output price (per 1M tokens)$12.00$4.25
Blended price (3:1 input/output)$4.50$2.00
Cheaper than … of all models we track12%25%
Context window1.0M tokens (~1,573 pages)1.0M tokens (~1,573 pages)
Larger context than … of all models81%81%
Max output per response66K tokens (~49,200 words)944K tokens (~707,800 words)
Input typestext, audio, image, video, filetext, image, video, file, audio
Output typestexttext
Free variantNoNo
Listed since2026-02-252026-10-15

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 3.1 Pro Preview Custom ToolsMeta: Muse Spark OpenDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$390$179Meta: Muse Spark Open saves $211
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$360$193Meta: Muse Spark Open saves $168
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)
$384$201Meta: Muse Spark Open saves $183
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$232$126Meta: Muse Spark Open saves $106
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$112$66.75Meta: Muse Spark Open saves $45.25

Capabilities side by side

CapabilityGoogle: Gemini 3.1 Pro Preview Custom ToolsMeta: Muse Spark OpenWhat 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✓ Yestake 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✓ Yesrepeat a generation for tests and evals
Log-probabilities—✓ Yesread 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 3.1 Pro Preview Custom Tools if…

  • you need built-in web search — to answer from live web results; Meta: Muse Spark Open does not advertise it

Choose Meta: Muse Spark Open if…

  • cost matters at scale — it is 56% cheaper on a typical 3:1 input/output mix ($179 vs $390 a month for 50,000 support chats)
  • you need log-probabilities — to read token confidence for classification and scoring; Google: Gemini 3.1 Pro Preview Custom Tools does not advertise it
  • you generate long outputs in one go — up to 944K tokens (about 707,800 words) per response
  • you want the newer model — released 2026-10-15, 8 months after the other

Frequently asked questions

Is Google: Gemini 3.1 Pro Preview Custom Tools better than Meta: Muse Spark Open?

Neither wins outright: Google: Gemini 3.1 Pro Preview Custom Tools is the pick when you need built-in web search, Meta: Muse Spark Open when cost matters at scale. In short: Google: Gemini 3.1 Pro Preview Custom Tools when you need built-in web search; Meta: Muse Spark Open when cost matters at scale, you need log-probabilities, you generate long outputs in one go, you want the newer model.

Which is cheaper, Google: Gemini 3.1 Pro Preview Custom Tools or Meta: Muse Spark Open?

Meta: Muse Spark Open is cheaper: $2.00 vs $4.50 per 1M tokens at a typical 3:1 input/output mix, 56% less. For 50,000 support conversations a month that is $179 against $390.

How much do Google: Gemini 3.1 Pro Preview Custom Tools and Meta: Muse Spark Open cost per million tokens?

Google: Gemini 3.1 Pro Preview Custom Tools costs $2.00 per 1M input tokens and $12.00 per 1M output tokens; Meta: Muse Spark Open costs $1.25 input and $4.25 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Gemini 3.1 Pro Preview Custom Tools or Meta: Muse Spark Open?

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

Do Google: Gemini 3.1 Pro Preview Custom Tools and Meta: Muse Spark Open support function calling and JSON output?

Tool calling — Google: Gemini 3.1 Pro Preview Custom Tools: yes, Meta: Muse Spark Open: yes. JSON-schema structured output — Google: Gemini 3.1 Pro Preview Custom Tools: yes, Meta: Muse Spark Open: yes.

Can Google: Gemini 3.1 Pro Preview Custom Tools or Meta: Muse Spark Open read images?

Yes, both accept image input.

Is Google: Gemini 3.1 Pro Preview Custom Tools or Meta: Muse Spark Open free to use?

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

What is the maximum output length of Google: Gemini 3.1 Pro Preview Custom Tools and Meta: Muse Spark Open?

Google: Gemini 3.1 Pro Preview Custom Tools can write up to 66K tokens (about 49,200 words) per response; Meta: Muse Spark Open up to 944K (about 707,800 words).

When were Google: Gemini 3.1 Pro Preview Custom Tools and Meta: Muse Spark Open released?

Google: Gemini 3.1 Pro Preview Custom Tools was listed on 2026-02-25; Meta: Muse Spark Open on 2026-10-15.

About the two models

Meta

Meta: Muse Spark Open

Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...

Full Meta: Muse Spark Open specs →

Compare Google: Gemini 3.1 Pro Preview Custom Tools with other models

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