Neither wins outright: Google: Gemini 3.1 Pro Preview is the pick when cost matters at scale, Meta: Muse Wonder when you generate long outputs in one go.
| Spec | Google: Gemini 3.1 Pro Preview | Meta: Muse Wonder |
|---|---|---|
| Provider | Meta | |
| Input price (per 1M tokens) | $2.00 | $4.00 |
| Output price (per 1M tokens) | $12.00 | $20.00 |
| Blended price (3:1 input/output) | $4.50 | $8.00 |
| Cheaper than … of all models we track | 12% | 7% |
| Context window | 1.0M tokens (~1,573 pages) | 1.0M tokens (~1,573 pages) |
| Larger context than … of all models | 81% | 81% |
| Max output per response | 66K tokens (~49,200 words) | 944K tokens (~707,800 words) |
| Input types | audio, file, image, text, video | text, image, video, file, audio |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-02-19 | 2026-10-12 |
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 | Meta: Muse Wonder | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $390 | $700 | Google: Gemini 3.1 Pro Preview saves $310 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $360 | $680 | Google: Gemini 3.1 Pro Preview saves $320 |
| 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 | $720 | Google: Gemini 3.1 Pro Preview saves $336 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $232 | $440 | Google: Gemini 3.1 Pro Preview saves $208 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $112 | $220 | Google: Gemini 3.1 Pro Preview saves $108 |
| Capability | Google: Gemini 3.1 Pro 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.
Neither wins outright: Google: Gemini 3.1 Pro Preview is the pick when cost matters at scale, Meta: Muse Wonder when you generate long outputs in one go. In short: Google: Gemini 3.1 Pro 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.
Google: Gemini 3.1 Pro Preview is cheaper: $4.50 vs $8.00 per 1M tokens at a typical 3:1 input/output mix, 44% less. For 50,000 support conversations a month that is $390 against $700.
Google: Gemini 3.1 Pro Preview costs $2.00 per 1M input tokens and $12.00 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.
Both take 1.0M tokens per request — roughly 1,573 pages of text.
Tool calling — Google: Gemini 3.1 Pro Preview: yes, Meta: Muse Wonder: yes. JSON-schema structured output — Google: Gemini 3.1 Pro Preview: yes, Meta: Muse Wonder: yes.
Yes, both accept image input.
No free variant is listed for either; both are pay-per-token.
Google: Gemini 3.1 Pro Preview can write up to 66K tokens (about 49,200 words) per response; Meta: Muse Wonder up to 944K (about 707,800 words).
Google: Gemini 3.1 Pro Preview was listed on 2026-02-19; Meta: Muse Wonder on 2026-10-12.
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...
Full Google: Gemini 3.1 Pro Preview specs →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...
Full Meta: Muse Wonder specs →