Compare · ModelsLive · 2 picked · head to head
Muse Spark vs Gemini 3 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3 Pro wins on 4/8 benchmarks
Gemini 3 Pro wins 4 of 8 shared benchmarks. Leads in math · knowledge.
Category leads
speed·Muse Sparkmath·Gemini 3 Proknowledge·Gemini 3 Pro
Hype vs Reality
Attention vs performance
Muse Spark
#47 by perf·no signal
Gemini 3 Pro
#40 by perf·no signal
Vendor risk
Who is behind the model
U
Unknown
private · undisclosed
Google DeepMind
$4.00T·Tier 1
Head to head
8 benchmarks · 2 models
Muse SparkGemini 3 Pro
Artificial Analysis · Agentic Index
Muse Spark leads by +16.9
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
Muse Spark
62.0
Gemini 3 Pro
45.0
Artificial Analysis · Coding Index
Muse Spark leads by +8.1
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
Muse Spark
47.5
Gemini 3 Pro
39.4
Artificial Analysis · Quality Index
Muse Spark leads by +10.9
Muse Spark
52.1
Gemini 3 Pro
41.3
FrontierMath-2025-02-28-Private
Muse Spark leads by +1.4
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Muse Spark
39.0
Gemini 3 Pro
37.6
FrontierMath-Tier-4-2025-07-01-Private
Gemini 3 Pro leads by +4.2
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
Muse Spark
14.6
Gemini 3 Pro
18.8
GPQA diamond
Gemini 3 Pro leads by +3.8
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Muse Spark
86.4
Gemini 3 Pro
90.2
OTIS Mock AIME 2024-2025
Gemini 3 Pro leads by +2.5
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Muse Spark
88.9
Gemini 3 Pro
91.4
SimpleQA Verified
Gemini 3 Pro leads by +6.6
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Muse Spark
66.3
Gemini 3 Pro
72.9
Full benchmark table
| Benchmark | Muse Spark | Gemini 3 Pro |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 62.0 | 45.0 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 47.5 | 39.4 |
Artificial Analysis · Quality Index | 52.1 | 41.3 |
FrontierMath-2025-02-28-Private FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning. | 39.0 | 37.6 |
FrontierMath-Tier-4-2025-07-01-Private FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning. | 14.6 | 18.8 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 86.4 | 90.2 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 88.9 | 91.4 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 66.3 | 72.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
U Muse Spark | — | — | — | — |
| — | — | — | — |