Gemini 3.1 Pro vs Muse Wonder 1.0

Google · US  |  Meta · US · Updated June 2026

Quick verdict

Pick Gemini 3.1 Pro for full multimodal input — text, image, audio and video in one 1m-token window or long video and document analysis. Pick Muse Wonder 1.0 for meta superintelligence labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused muse spark family or artificial analysis intelligence index score of 52 (a gated 'wonder full' subscription variant scores 56, tied with claude sonnet 5.5, behind only opus 5.5 at 58). On a tight budget at scale, Gemini 3.1 Pro is the value pick.

Gemini 3.1 Pro (Google) and Muse Wonder 1.0 (Meta) are two of the models people most often weigh against each other in 2026. Gemini 3.1 Pro is a 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window. Muse Wonder 1.0 is meta Superintelligence Labs' October 12, 2026 debut frontier model — distinct from Muse Spark, scoring 52 on the independent Artificial Analysis Index with a 1M-token, four-modality context window. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.

Key differences at a glance

Side-by-side specs

SpecGemini 3.1 ProMuse Wonder 1.0
ProviderGoogle (US) Meta (US)
ReleasedFebruary 19, 2026 October 12, 2026
Context window1M (~1,573 pages) 1M tokens (~1,573 pages)
Price (in/out)$2/$12 per 1M tokens $4/$20 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image, audio, video, code text, image, video, audio
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1M26.3% Not published

Who wins what

Full multimodal input — text, image, audio and video in one 1M-token window

Gemini 3.1 Pro

A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window — and it runs cheaper at $2/$12 per 1M tokens.

Long video and document analysis

Gemini 3.1 Pro

Gemini 3.1 Pro lists long video and document analysis among its strengths; Muse Wonder 1.0 does not.

Agentic reasoning (high ARC-AGI-2)

Gemini 3.1 Pro

Gemini 3.1 Pro lists agentic reasoning (high ARC-AGI-2) among its strengths; Muse Wonder 1.0 does not.

Meta Superintelligence Labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused Muse Spark family

Muse Wonder 1.0

Meta Superintelligence Labs' October 12, 2026 debut frontier model — distinct from Muse Spark, scoring 52 on the independent Artificial Analysis Index with a 1M-token, four-modality context window — and it is the newer of the two.

Artificial Analysis Intelligence Index score of 52 (a gated 'Wonder Full' subscription variant scores 56, tied with Claude Sonnet 5.5, behind only Opus 5.5 at 58)

Muse Wonder 1.0

Muse Wonder 1.0 lists artificial Analysis Intelligence Index score of 52 (a gated 'Wonder Full' subscription variant scores 56, tied with Claude Sonnet 5.5, behind only Opus 5.5 at 58) among its strengths; Gemini 3.1 Pro does not.

78.8% on DeepSWE v1.1 long-horizon coding, ahead of both Claude Opus 5.5 (74.2%) and GPT-6 Astra (74.1%)

Muse Wonder 1.0

Muse Wonder 1.0 lists 78.8% on DeepSWE v1.1 long-horizon coding, ahead of both Claude Opus 5.5 (74.2%) and GPT-6 Astra (74.1%) among its strengths; Gemini 3.1 Pro does not.

Lowest cost at scale

Gemini 3.1 Pro

At $2/$12 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Which should you pick?

A cost-sensitive startup shipping high volume

→ Gemini 3.1 Pro

At $2/$12 per 1M tokens it undercuts Muse Wonder 1.0, and on millions of tokens that margin decides the monthly bill.

Anyone whose priority is full multimodal input — text, image, audio and video in one 1m-token window

→ Gemini 3.1 Pro

It is specifically built for that.

Anyone whose priority is meta superintelligence labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused muse spark family

→ Muse Wonder 1.0

That is its strongest area.

Gemini 3.1 Pro: where it fits

A 1M-token multimodal workhorse — huge breadth across text, image, audio and video, but recall fades deep in the window. Released February 19, 2026 by Google, it is built for full multimodal input — text, image, audio and video in one 1M-token window, long video and document analysis, agentic reasoning (high ARC-AGI-2), and broad multimodal understanding across formats.

Its trade-offs are real: long-context recall drops sharply past 256K (26.3% on MRCR v2 at 1M), premium price per token at $2/$12, and superseded within Google's own line by the newer 3.5/3.6 Flash releases for cost-sensitive work. At $2 in / $12 out per million tokens, it sits in the mid price band.

Muse Wonder 1.0: where it fits

Meta Superintelligence Labs' October 12, 2026 debut frontier model — distinct from Muse Spark, scoring 52 on the independent Artificial Analysis Index with a 1M-token, four-modality context window. Released October 12, 2026 by Meta, it is built for meta Superintelligence Labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused Muse Spark family, artificial Analysis Intelligence Index score of 52 (a gated 'Wonder Full' subscription variant scores 56, tied with Claude Sonnet 5.5, behind only Opus 5.5 at 58), 78.8% on DeepSWE v1.1 long-horizon coding, ahead of both Claude Opus 5.5 (74.2%) and GPT-6 Astra (74.1%), and accepts text, image, video, audio, and PDF input against a 1,048,576-token context window.

Its trade-offs: the stronger 'Wonder Full' variant is gated behind $50/$200-per-month Muse Code subscriptions, with no public API or independently verifiable pricing, meta's full safety report had not been published as of launch, first release in a brand-new model family — no track record yet next to Meta's more established Muse Spark line, and benchmark comparisons against Opus 5.5 and GPT-6 Astra are Meta's own self-reported figures. At $4 in / $20 out per million tokens, it sits in the mid price band.

The bottom line for this matchup

Gemini 3.1 Pro and Muse Wonder 1.0 overlap enough that the right pick depends on your specific job. Gemini 3.1 Pro costs less per token; and each leads in its own area — Gemini 3.1 Pro for full multimodal input — text, image, audio and video in one 1m-token window, Muse Wonder 1.0 for meta superintelligence labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused muse spark family. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both Gemini 3.1 Pro and Muse Wonder 1.0 without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Gemini 3.1 Pro or Muse Wonder 1.0 better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Gemini 3.1 Pro leans toward full multimodal input — text, image, audio and video in one 1m-token window while Muse Wonder 1.0 leans toward meta superintelligence labs' first frontier-class reasoning model — a new line distinct from the agentic-coding-focused muse spark family, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Gemini 3.1 Pro or Muse Wonder 1.0?

Gemini 3.1 Pro is cheaper — $2/$12 per 1M tokens vs $4/$20 per 1M tokens, roughly 2× apart on input.

Which has the bigger context window?

Both advertise 1M (~1,573 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both Gemini 3.1 Pro and Muse Wonder 1.0 together?

Yes — a multi-model platform like LumiChats gives you Gemini 3.1 Pro, Muse Wonder 1.0 and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Gemini 3.1 Pro or Muse Wonder 1.0?

Muse Wonder 1.0 — released October 12, 2026, about 8 months after Gemini 3.1 Pro.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.