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 on 7/15 benchmarks
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
Attention vs performance
Gemini 3 Pro
#78 by perf·#10 by attention
GPT-5.5 Pro
#8 by perf·#9 by attention
Muse Spark
#81 by perf·no signal
Best value
GPT-5.5 Pro
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
Who is behind the model
Google DeepMind
$3.61T·Tier 1
OpenAI
$840.0B·Tier 1
Meta AI
$1.62T·Tier 1
Head to head
15 benchmarks · 3 models
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
| Benchmark | Gemini 3 Pro | GPT-5.5 Pro | Muse 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. | 66.0 | 52.4 | 68.4 |
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. | 31.3 | 39.6 | 24.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 93.9 | 95.7 | 90.0 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 91.4 | 100.0 | 88.9 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 72.9 | 64.5 | 66.3 |
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?" | 45.0 | n/a | 28.7 |
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. | 39.4 | n/a | 58.6 |
Artificial Analysis · Quality Index | 41.3 | n/a | 43.1 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 75.0 | 96.5 | n/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. | 31.1 | 84.6 | n/a |
Chatbot Arena Elo · Overall | 1485.5 | n/a | 1489.3 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 27.4 | 60.0 | n/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. | 34.4 | n/a | 37.6 |
Proofbench | 20.0 | n/a | 17.0 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 71.7 | 72.3 | n/a |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| n/a | n/a | n/a | n/a | |
| $30.00 | $180.00 | 1.1M tokens (~525 books) | $675.00 | |
| n/a | n/a | n/a | n/a |