Compare · ModelsLive · 3 picked · head to head

Gemini 3 Pro vs GPT-5.5 Pro vs Muse Spark

Side by side · benchmarks, pricing, and signals you can act on.

Winner summary

GPT-5.5 Pro wins 7 of 15 shared benchmarks. Leads in math · knowledge · reasoning.

Category leads
math·GPT-5.5 Proknowledge·GPT-5.5 Prospeed·Muse Sparkreasoning·GPT-5.5 Proarena·Muse Sparkgeneral·Gemini 3 Pro
Hype vs Reality
Gemini 3 Pro
#78 by perf·#10 by attention
DESERVED
GPT-5.5 Pro
#8 by perf·#9 by attention
DESERVED
Muse Spark
#81 by perf·no signal
QUIET
Best value
Gemini 3 Pro
n/a
no price
GPT-5.5 Pro
0.7 pts/$
$105.00/M
Muse Spark
n/a
no price
Vendor risk
Google DeepMind logo
Google DeepMind
$3.61T·Tier 1
Low risk
OpenAI logo
OpenAI
$840.0B·Tier 1
Medium risk
Meta logo
Meta AI
$1.62T·Tier 1
Low risk
Head to head
Gemini 3 ProGPT-5.5 ProMuse Spark
FrontierMath-2025-02-28-Private
Muse Spark leads by +2.5
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Gemini 3 Pro
66.0
GPT-5.5 Pro
52.4
Muse Spark
68.4
FrontierMath-Tier-4-2025-07-01-Private
GPT-5.5 Pro leads by +8.4
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
Gemini 3 Pro
31.3
GPT-5.5 Pro
39.6
Muse Spark
24.3
GPQA diamond
GPT-5.5 Pro leads by +1.8
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 3 Pro
93.9
GPT-5.5 Pro
95.7
Muse Spark
90.0
OTIS Mock AIME 2024-2025
GPT-5.5 Pro leads by +8.6
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 3 Pro
91.4
GPT-5.5 Pro
100.0
Muse Spark
88.9
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.
Gemini 3 Pro
72.9
GPT-5.5 Pro
64.5
Muse Spark
66.3
Artificial Analysis · Agentic Index
Gemini 3 Pro leads by +16.4
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?"
Gemini 3 Pro
45.0
Muse Spark
28.7
Artificial Analysis · Coding Index
Muse Spark leads by +19.3
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.
Gemini 3 Pro
39.4
Muse Spark
58.6
Artificial Analysis · Quality Index
Muse Spark leads by +1.8
Gemini 3 Pro
41.3
Muse Spark
43.1
ARC-AGI
GPT-5.5 Pro leads by +21.5
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 3 Pro
75.0
GPT-5.5 Pro
96.5
ARC-AGI-2
GPT-5.5 Pro leads by +53.5
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 3 Pro
31.1
GPT-5.5 Pro
84.6
Chatbot Arena Elo · Overall
Muse Spark leads by +3.9
Gemini 3 Pro
1485.5
Muse Spark
1489.3
Chess Puzzles
GPT-5.5 Pro leads by +32.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 3 Pro
27.4
GPT-5.5 Pro
60.0
HLE
Muse Spark leads by +3.2
HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation.
Gemini 3 Pro
34.4
Muse Spark
37.6
Proofbench
Gemini 3 Pro leads by +3.0
Gemini 3 Pro
20.0
Muse Spark
17.0
SimpleBench
GPT-5.5 Pro leads by +0.6
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Gemini 3 Pro
71.7
GPT-5.5 Pro
72.3
Full benchmark table
BenchmarkGemini 3 ProGPT-5.5 ProMuse Spark
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.
66.052.468.4
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.
31.339.624.3
GPQA diamond
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
93.995.790.0
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
91.4100.088.9
SimpleQA Verified
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
72.964.566.3
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?"
45.0n/a28.7
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.
39.4n/a58.6
Artificial Analysis · Quality Index
41.3n/a43.1
ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
75.096.5n/a
ARC-AGI-2
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
31.184.6n/a
Chatbot Arena Elo · Overall
1485.5n/a1489.3
Chess Puzzles
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
27.460.0n/a
HLE
HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation.
34.4n/a37.6
Proofbench
20.0n/a17.0
SimpleBench
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
71.772.3n/a
Pricing · per 1M tokens · projected $/mo at 10M tokens
ModelInputOutputContextProjected $/mo
Google DeepMind logoGemini 3 Pron/an/an/an/a
OpenAI logoGPT-5.5 Pro$30.00$180.001.1M tokens (~525 books)$675.00
Meta logoMuse Sparkn/an/an/an/a