Gemini 3.1 Pro vs
Muse Spark 1.2

Read the published evidence, route context, and missing facts before making a local decision. This page does not name a universal winner.

Models in this comparison

Provider identity and evidence state stay balanced across the pair.

Model type
Proprietary
Evidence state
Estimated evidence
Published context
1,000,000
VS
Model type
Proprietary
Evidence state
Estimated evidence
Published context
1,000,000

Key implications

Insufficient shared-metric coverage. Each finding is tied to a published metric, price, context, or modality fact.

  1. Input API price: Muse Spark 1.2 has the lower verified rate ($1.25 / 1M tokens vs $2 / 1M tokens).
  2. Output API price: Muse Spark 1.2 has the lower verified rate ($4.25 / 1M tokens vs $12 / 1M tokens).

Shared metric view

A radar is shown only when at least four compatible supported score metrics are published.

Comparable metric detail

  • AgenticGemini 3.1 Pro: 33.84 · Muse Spark 1.2: 56.48
  • CodingGemini 3.1 Pro: 49.3 · Muse Spark 1.2: 63.2
  • KnowledgeGemini 3.1 Pro: 66.7 · Muse Spark 1.2: 60.7
  • MathGemini 3.1 Pro: 55.1 · Muse Spark 1.2: Unavailable
  • MultimodalGroundedGemini 3.1 Pro: 76.8 · Muse Spark 1.2: Unavailable
  • ReasoningGemini 3.1 Pro: 72.4 · Muse Spark 1.2: Unavailable
  • OverallGemini 3.1 Pro: 56.25 · Muse Spark 1.2: 61.71

Source metrics

Friendly metric names and published units stay visible. Missing measurements remain unavailable rather than becoming a score.

Source metric comparison
MetricUnitGemini 3.1 ProMuse Spark 1.2
Agenticscore33.8456.48
Codingscore49.363.2
Knowledgescore66.760.7
Mathscore55.1Unavailable
MultimodalGroundedscore76.8Unavailable
Reasoningscore72.4Unavailable
Overallscore56.2561.71

Agentic

Unit
score
Gemini 3.1 Pro
33.84
Muse Spark 1.2
56.48

Coding

Unit
score
Gemini 3.1 Pro
49.3
Muse Spark 1.2
63.2

Knowledge

Unit
score
Gemini 3.1 Pro
66.7
Muse Spark 1.2
60.7

Math

Unit
score
Gemini 3.1 Pro
55.1
Muse Spark 1.2
Unavailable

MultimodalGrounded

Unit
score
Gemini 3.1 Pro
76.8
Muse Spark 1.2
Unavailable

Reasoning

Unit
score
Gemini 3.1 Pro
72.4
Muse Spark 1.2
Unavailable

Overall

Unit
score
Gemini 3.1 Pro
56.25
Muse Spark 1.2
61.71

Pricing and context

Verification is shown beside each selected route. Missing facts remain Not verified.

Route pricing and context comparison
FieldUnitGemini 3.1 ProMuse Spark 1.2
Input API priceUSD / 1M tokens$2$1.25
Cached input API priceUSD / 1M tokens$0.2$0.15
Output API priceUSD / 1M tokens$12$4.25
Route contexttokens1,000,0001,000,000
Input modalitiespublished listNot verifiedNot verified
Output modalitiespublished listNot verifiedNot verified

Input API price

Unit
USD / 1M tokens
Gemini 3.1 Pro
$2
Muse Spark 1.2
$1.25

Cached input API price

Unit
USD / 1M tokens
Gemini 3.1 Pro
$0.2
Muse Spark 1.2
$0.15

Output API price

Unit
USD / 1M tokens
Gemini 3.1 Pro
$12
Muse Spark 1.2
$4.25

Route context

Unit
tokens
Gemini 3.1 Pro
1,000,000
Muse Spark 1.2
1,000,000

Input modalities

Unit
published list
Gemini 3.1 Pro
Not verified
Muse Spark 1.2
Not verified

Output modalities

Unit
published list
Gemini 3.1 Pro
Not verified
Muse Spark 1.2
Not verified

Evidence provenance

Source records, route identity, timestamps, and methodology are consolidated here without declaring either model a winner.

Publication time
Aug 30, 2026, 2:15 AM UTC
Freshness
Stale — Published weekly benchmark evidence has not refreshed within 8 days.
Methodology
benchlm: benchlm_raw_composite
Model records
  • Gemini 3.1 Pro — source benchlm · artifact models · model gemini-3-1-pro
  • Muse Spark 1.2 — source benchlm · artifact models · model muse-spark-1-2
Selected price routes
  • Gemini 3.1 Pro — route benchlm:gemini-3-1-pro · source benchlm · provider google
  • Muse Spark 1.2 — route benchlm:muse-spark-1-2 · source benchlm · provider meta

Switch model pair

Choose from this result’s current and reviewed related models. Switching opens a reviewed comparison; it does not change this result’s evidence.

Step 1

Start with popular models, or search the full selectable directory.

Step 2

Start with popular models, or search the full selectable directory.