Compare · ModelsLive · 2 picked · head to head
Gemini 4 Carbon vs GPT-5.5 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 4 Carbon wins on 9/9 benchmarks
Gemini 4 Carbon wins 9 of 9 shared benchmarks. Leads in reasoning · knowledge · math.
Category leads
reasoning·Gemini 4 Carbonknowledge·Gemini 4 Carbonmath·Gemini 4 Carbon
Hype vs Reality
Attention vs performance
Gemini 4 Carbon
#1 by perf·#8 by attention
GPT-5.5 Pro
#8 by perf·#9 by attention
Best value
Gemini 4 Carbon
19.6x better value than GPT-5.5 Pro
Gemini 4 Carbon
14.3 pts/$
$6.00/M
GPT-5.5 Pro
0.7 pts/$
$105.00/M
Vendor risk
Who is behind the model
Google DeepMind
$3.61T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
9 benchmarks · 2 models
Gemini 4 CarbonGPT-5.5 Pro
ARC-AGI
Gemini 4 Carbon leads by +2.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 4 Carbon
98.5
GPT-5.5 Pro
96.5
ARC-AGI-2
Gemini 4 Carbon leads by +9.6
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 4 Carbon
94.2
GPT-5.5 Pro
84.6
Chess Puzzles
Gemini 4 Carbon leads by +16.8
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 4 Carbon
76.8
GPT-5.5 Pro
60.0
FrontierMath-Tier-4-v2-Private
Gemini 4 Carbon leads by +17.1
Gemini 4 Carbon
95.1
GPT-5.5 Pro
78.0
FrontierMath-Tiers-1-3-v2-Private
Gemini 4 Carbon leads by +3.0
Gemini 4 Carbon
95.3
GPT-5.5 Pro
92.3
GPQA diamond
Gemini 4 Carbon leads by +3.6
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 4 Carbon
99.3
GPT-5.5 Pro
95.7
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 4 Carbon
100.0
GPT-5.5 Pro
100.0
SimpleBench
Gemini 4 Carbon leads by +18.8
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Gemini 4 Carbon
91.1
GPT-5.5 Pro
72.3
SimpleQA Verified
Gemini 4 Carbon leads by +13.2
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Gemini 4 Carbon
77.7
GPT-5.5 Pro
64.5
Full benchmark table
| Benchmark | Gemini 4 Carbon | GPT-5.5 Pro |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 98.5 | 96.5 |
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. | 94.2 | 84.6 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 76.8 | 60.0 |
FrontierMath-Tier-4-v2-Private | 95.1 | 78.0 |
FrontierMath-Tiers-1-3-v2-Private | 95.3 | 92.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 99.3 | 95.7 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 100.0 | 100.0 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 91.1 | 72.3 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 77.7 | 64.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.00 | $10.00 | 1.0M tokens (~524 books) | $40.00 | |
| $30.00 | $180.00 | 1.1M tokens (~525 books) | $675.00 |