Compare · ModelsLive · 2 picked · head to head
Gemini 3 Pro vs GPT-5.6 Sol
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.6 Sol wins on 10/12 benchmarks
GPT-5.6 Sol wins 10 of 12 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
agentic·GPT-5.6 Solreasoning·GPT-5.6 Solknowledge·GPT-5.6 Solmath·GPT-5.6 Solgeneral·GPT-5.6 Solcoding·GPT-5.6 Sol
Hype vs Reality
Attention vs performance
Gemini 3 Pro
#71 by perf·#5 by attention
GPT-5.6 Sol
#30 by perf·#4 by attention
Vendor risk
Who is behind the model
Google DeepMind
$4.20T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
12 benchmarks · 2 models
Gemini 3 ProGPT-5.6 Sol
APEX-Agents
GPT-5.6 Sol leads by +33.0
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 3 Pro
18.4
GPT-5.6 Sol
51.4
ARC-AGI
GPT-5.6 Sol leads by +22.5
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-5.6 Sol
97.5
ARC-AGI-2
GPT-5.6 Sol leads by +61.4
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-5.6 Sol
92.5
Balrog
GPT-5.6 Sol leads by +1.9
Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning.
Gemini 3 Pro
58.1
GPT-5.6 Sol
60.0
Chess Puzzles
GPT-5.6 Sol leads by +34.7
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-5.6 Sol
62.1
GPQA diamond
GPT-5.6 Sol leads by +1.2
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
90.2
GPT-5.6 Sol
91.3
OTIS Mock AIME 2024-2025
GPT-5.6 Sol 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-5.6 Sol
100.0
PostTrainBench
GPT-5.6 Sol leads by +18.1
Gemini 3 Pro
18.1
GPT-5.6 Sol
36.2
Proofbench
GPT-5.6 Sol leads by +63.0
Gemini 3 Pro
20.0
GPT-5.6 Sol
83.0
SimpleBench
Gemini 3 Pro leads by +5.6
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Gemini 3 Pro
71.7
GPT-5.6 Sol
66.0
SimpleQA Verified
Gemini 3 Pro leads by +3.2
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-5.6 Sol
69.7
WeirdML
GPT-5.6 Sol leads by +19.5
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 3 Pro
69.9
GPT-5.6 Sol
89.4
Full benchmark table
| Benchmark | Gemini 3 Pro | GPT-5.6 Sol |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 18.4 | 51.4 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 75.0 | 97.5 |
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. | 31.1 | 92.5 |
Balrog Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning. | 58.1 | 60.0 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 27.4 | 62.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 90.2 | 91.3 |
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 |
PostTrainBench | 18.1 | 36.2 |
Proofbench | 20.0 | 83.0 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 71.7 | 66.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 72.9 | 69.7 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 69.9 | 89.4 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| — | — | — | — | |
| $2.00 | $10.00 | 1.1M tokens (~525 books) | $40.00 |