Compare · ModelsLive · 2 picked · head to head
Gemini 3.8 Flash vs GPT-5.6 Sol
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5.6 Sol wins on 12/16 benchmarks
GPT-5.6 Sol wins 12 of 16 shared benchmarks. Leads in coding · general · math.
Category leads
agentic·Gemini 3.8 Flashknowledge·Gemini 3.8 Flashcoding·GPT-5.6 Solgeneral·GPT-5.6 Solmath·GPT-5.6 Sol
Hype vs Reality
Attention vs performance
Gemini 3.8 Flash
#63 by perf·#5 by attention
GPT-5.6 Sol
#30 by perf·#4 by attention
Best value
Gemini 3.8 Flash
2.3x better value than GPT-5.6 Sol
Gemini 3.8 Flash
25.5 pts/$
$2.25/M
GPT-5.6 Sol
11.1 pts/$
$6.00/M
Vendor risk
Who is behind the model
Google DeepMind
$4.20T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
16 benchmarks · 2 models
Gemini 3.8 FlashGPT-5.6 Sol
APEX-Agents
Gemini 3.8 Flash leads by +12.9
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 3.8 Flash
64.3
GPT-5.6 Sol
51.4
Chess Puzzles
GPT-5.6 Sol leads by +3.2
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 3.8 Flash
59.0
GPT-5.6 Sol
62.1
Deepswe
Gemini 3.8 Flash leads by +1.2
Gemini 3.8 Flash
73.8
GPT-5.6 Sol
72.7
Dtbench
GPT-5.6 Sol leads by +0.5
Gemini 3.8 Flash
92.9
GPT-5.6 Sol
93.3
Frontiercode
GPT-5.6 Sol leads by +6.3
Gemini 3.8 Flash
41.2
GPT-5.6 Sol
47.5
FrontierMath-Tier-4-v2-Private
GPT-5.6 Sol leads by +61.0
Gemini 3.8 Flash
21.9
GPT-5.6 Sol
82.9
FrontierMath-Tiers-1-3-v2-Private
GPT-5.6 Sol leads by +20.7
Gemini 3.8 Flash
68.4
GPT-5.6 Sol
89.1
Frontierswe
GPT-5.6 Sol leads by +12.6
Gemini 3.8 Flash
19.6
GPT-5.6 Sol
32.2
Furniture Assembly
GPT-5.6 Sol leads by +35.7
Gemini 3.8 Flash
2.4
GPT-5.6 Sol
38.1
GPQA diamond
Gemini 3.8 Flash leads by +2.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 3.8 Flash
93.9
GPT-5.6 Sol
91.3
Lmca
GPT-5.6 Sol leads by +7.4
Gemini 3.8 Flash
62.2
GPT-5.6 Sol
69.7
Mystery Game Puzzles
GPT-5.6 Sol leads by +12.1
Gemini 3.8 Flash
41.6
GPT-5.6 Sol
53.7
OTIS Mock AIME 2024-2025
GPT-5.6 Sol leads by +1.1
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 3.8 Flash
98.9
GPT-5.6 Sol
100.0
Proofbench
GPT-5.6 Sol leads by +35.0
Gemini 3.8 Flash
48.0
GPT-5.6 Sol
83.0
SimpleQA Verified
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Gemini 3.8 Flash
69.7
GPT-5.6 Sol
69.7
Surface Evolver Bench
GPT-5.6 Sol leads by +16.3
Gemini 3.8 Flash
76.9
GPT-5.6 Sol
93.1
Full benchmark table
| Benchmark | Gemini 3.8 Flash | 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. | 64.3 | 51.4 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 59.0 | 62.1 |
Deepswe | 73.8 | 72.7 |
Dtbench | 92.9 | 93.3 |
Frontiercode | 41.2 | 47.5 |
FrontierMath-Tier-4-v2-Private | 21.9 | 82.9 |
FrontierMath-Tiers-1-3-v2-Private | 68.4 | 89.1 |
Frontierswe | 19.6 | 32.2 |
Furniture Assembly | 2.4 | 38.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 93.9 | 91.3 |
Lmca | 62.2 | 69.7 |
Mystery Game Puzzles | 41.6 | 53.7 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 98.9 | 100.0 |
Proofbench | 48.0 | 83.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 69.7 | 69.7 |
Surface Evolver Bench | 76.9 | 93.1 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.75 | $3.75 | 1.0M tokens (~524 books) | $15.00 | |
| $2.00 | $10.00 | 1.1M tokens (~525 books) | $40.00 |