Compare · ModelsLive · 2 picked · head to head
GPT-6 Astra vs Gemini 3.8 Flash
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-6 Astra wins on 22/24 benchmarks
GPT-6 Astra wins 22 of 24 shared benchmarks. Leads in speed · agentic · knowledge.
Category leads
speed·GPT-6 Astraagentic·GPT-6 Astraknowledge·GPT-6 Astracoding·GPT-6 Astrageneral·GPT-6 Astramath·GPT-6 Astra
Hype vs Reality
Attention vs performance
GPT-6 Astra
#9 by perf·#1 by attention
Gemini 3.8 Flash
#63 by perf·#8 by attention
Best value
Gemini 3.8 Flash
10.0x better value than GPT-6 Astra
GPT-6 Astra
2.6 pts/$
$30.00/M
Gemini 3.8 Flash
25.5 pts/$
$2.25/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Google DeepMind
$4.20T·Tier 1
Head to head
24 benchmarks · 2 models
GPT-6 AstraGemini 3.8 Flash
Artificial Analysis · CritPt
GPT-6 Astra leads by +13.4
GPT-6 Astra
31.7
Gemini 3.8 Flash
18.3
Artificial Analysis · GDPval
GPT-6 Astra leads by +6.5
GPT-6 Astra
52.1
Gemini 3.8 Flash
45.6
Artificial Analysis · GPQA Diamond
GPT-6 Astra leads by +0.8
GPT-6 Astra
96.1
Gemini 3.8 Flash
95.3
Artificial Analysis · Humanity's Last Exam
GPT-6 Astra leads by +6.9
GPT-6 Astra
54.7
Gemini 3.8 Flash
47.8
Artificial Analysis · Long Context Reasoning
Gemini 3.8 Flash leads by +0.6
GPT-6 Astra
80.7
Gemini 3.8 Flash
81.3
Artificial Analysis · MMMU Pro
GPT-6 Astra leads by +1.3
GPT-6 Astra
86.9
Gemini 3.8 Flash
85.6
Artificial Analysis · Quality Index
GPT-6 Astra leads by +11.7
GPT-6 Astra
52.7
Gemini 3.8 Flash
40.9
Artificial Analysis · SciCode
Gemini 3.8 Flash leads by +0.1
GPT-6 Astra
56.5
Gemini 3.8 Flash
56.6
APEX-Agents
GPT-6 Astra leads by +0.4
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
GPT-6 Astra
64.7
Gemini 3.8 Flash
64.3
Chess Puzzles
GPT-6 Astra leads by +11.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
GPT-6 Astra
70.5
Gemini 3.8 Flash
59.0
Deepswe
GPT-6 Astra leads by +0.3
GPT-6 Astra
74.1
Gemini 3.8 Flash
73.8
Dtbench
GPT-6 Astra leads by +2.7
GPT-6 Astra
95.5
Gemini 3.8 Flash
92.9
Frontiercode
GPT-6 Astra leads by +12.1
GPT-6 Astra
53.3
Gemini 3.8 Flash
41.2
FrontierMath-Tier-4-v2-Private
GPT-6 Astra leads by +75.6
GPT-6 Astra
97.6
Gemini 3.8 Flash
21.9
FrontierMath-Tiers-1-3-v2-Private
GPT-6 Astra leads by +25.3
GPT-6 Astra
93.7
Gemini 3.8 Flash
68.4
Frontierswe
GPT-6 Astra leads by +45.9
GPT-6 Astra
65.5
Gemini 3.8 Flash
19.6
Furniture Assembly
GPT-6 Astra leads by +69.1
GPT-6 Astra
71.4
Gemini 3.8 Flash
2.4
GPQA diamond
GPT-6 Astra leads by +0.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-6 Astra
94.4
Gemini 3.8 Flash
93.9
HLE
GPT-6 Astra leads by +10.8
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. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%.
GPT-6 Astra
52.5
Gemini 3.8 Flash
41.7
Lmca
GPT-6 Astra leads by +13.5
GPT-6 Astra
75.7
Gemini 3.8 Flash
62.2
Mystery Game Puzzles
GPT-6 Astra leads by +40.8
GPT-6 Astra
82.4
Gemini 3.8 Flash
41.6
OTIS Mock AIME 2024-2025
GPT-6 Astra leads by +1.1
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GPT-6 Astra
100.0
Gemini 3.8 Flash
98.9
Proofbench
GPT-6 Astra leads by +51.0
GPT-6 Astra
99.0
Gemini 3.8 Flash
48.0
SimpleQA Verified
GPT-6 Astra leads by +5.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
GPT-6 Astra
75.6
Gemini 3.8 Flash
69.7
Full benchmark table
| Benchmark | GPT-6 Astra | Gemini 3.8 Flash |
|---|---|---|
Artificial Analysis · CritPt | 31.7 | 18.3 |
Artificial Analysis · GDPval | 52.1 | 45.6 |
Artificial Analysis · GPQA Diamond | 96.1 | 95.3 |
Artificial Analysis · Humanity's Last Exam | 54.7 | 47.8 |
Artificial Analysis · Long Context Reasoning | 80.7 | 81.3 |
Artificial Analysis · MMMU Pro | 86.9 | 85.6 |
Artificial Analysis · Quality Index | 52.7 | 40.9 |
Artificial Analysis · SciCode | 56.5 | 56.6 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 64.7 | 64.3 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 70.5 | 59.0 |
Deepswe | 74.1 | 73.8 |
Dtbench | 95.5 | 92.9 |
Frontiercode | 53.3 | 41.2 |
FrontierMath-Tier-4-v2-Private | 97.6 | 21.9 |
FrontierMath-Tiers-1-3-v2-Private | 93.7 | 68.4 |
Frontierswe | 65.5 | 19.6 |
Furniture Assembly | 71.4 | 2.4 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 94.4 | 93.9 |
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. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%. | 52.5 | 41.7 |
Lmca | 75.7 | 62.2 |
Mystery Game Puzzles | 82.4 | 41.6 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 100.0 | 98.9 |
Proofbench | 99.0 | 48.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 75.6 | 69.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $10.00 | $50.00 | 1.1M tokens (~525 books) | $200.00 | |
| $0.75 | $3.75 | 1.0M tokens (~524 books) | $15.00 |