Compare · ModelsLive · 3 picked · head to head
Gemini 4 Argon vs GPT-6.1 Sol vs GPT-6 Astra
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-6 Astra wins on 9/23 benchmarks
GPT-6 Astra wins 9 of 23 shared benchmarks. Leads in knowledge · coding · general.
Category leads
speed·Gemini 4 Argonagentic·Gemini 4 Argonknowledge·GPT-6 Astracoding·GPT-6 Astramath·GPT-6.1 Solgeneral·GPT-6 Astrareasoning·GPT-6.1 Sol
Hype vs Reality
Attention vs performance
Gemini 4 Argon
#11 by perf·#1 by attention
GPT-6.1 Sol
#6 by perf·#5 by attention
GPT-6 Astra
#10 by perf·#5 by attention
Best value
GPT-6.1 Sol
1.0x better value than Gemini 4 Argon
Gemini 4 Argon
12.5 pts/$
$6.00/M
GPT-6.1 Sol
12.9 pts/$
$6.00/M
GPT-6 Astra
2.5 pts/$
$30.00/M
Vendor risk
Who is behind the model
Google DeepMind
$4.27T·Tier 1
OpenAI
$840.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
23 benchmarks · 3 models
Gemini 4 ArgonGPT-6.1 SolGPT-6 Astra
Artificial Analysis · CritPt
Gemini 4 Argon
27.1
GPT-6.1 Sol
31.7
GPT-6 Astra
31.7
Artificial Analysis · GDPval
Gemini 4 Argon leads by +1.5
Gemini 4 Argon
56.2
GPT-6.1 Sol
54.7
GPT-6 Astra
53.6
Artificial Analysis · Humanity's Last Exam
Gemini 4 Argon leads by +2.4
Gemini 4 Argon
57.1
GPT-6.1 Sol
52.9
GPT-6 Astra
54.7
Artificial Analysis · Long Context Reasoning
GPT-6.1 Sol leads by +2.3
Gemini 4 Argon
79.7
GPT-6.1 Sol
83.0
GPT-6 Astra
80.7
Artificial Analysis · Quality Index
GPT-6 Astra leads by +0.1
Gemini 4 Argon
52.6
GPT-6.1 Sol
51.8
GPT-6 Astra
52.7
Artificial Analysis · SciCode
Gemini 4 Argon leads by +5.3
Gemini 4 Argon
61.8
GPT-6.1 Sol
54.2
GPT-6 Astra
56.5
APEX-Agents
Gemini 4 Argon leads by +17.7
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
Gemini 4 Argon
82.4
GPT-6.1 Sol
60.0
GPT-6 Astra
64.7
Chess Puzzles
GPT-6 Astra leads by +6.3
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 4 Argon
56.9
GPT-6.1 Sol
66.3
GPT-6 Astra
72.6
Frontiercode
GPT-6 Astra leads by +3.0
Gemini 4 Argon
47.5
GPT-6.1 Sol
50.2
GPT-6 Astra
53.3
FrontierMath-Tier-4-v2-Private
GPT-6.1 Sol leads by +2.4
Gemini 4 Argon
78.0
GPT-6.1 Sol
100.0
GPT-6 Astra
97.6
FrontierMath-Tiers-1-3-v2-Private
Gemini 4 Argon
86.0
GPT-6.1 Sol
93.7
GPT-6 Astra
93.7
Furniture Assembly
Gemini 4 Argon
60.7
GPT-6.1 Sol
71.4
GPT-6 Astra
71.4
GPQA diamond
Gemini 4 Argon leads by +0.8
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 4 Argon
95.2
GPT-6.1 Sol
93.9
GPT-6 Astra
94.4
Mystery Game Puzzles
GPT-6 Astra leads by +4.4
Gemini 4 Argon
60.3
GPT-6.1 Sol
78.0
GPT-6 Astra
82.4
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 4 Argon
100.0
GPT-6.1 Sol
100.0
GPT-6 Astra
100.0
Proofbench
Gemini 4 Argon
99.0
GPT-6.1 Sol
99.0
GPT-6 Astra
99.0
SimpleQA Verified
Gemini 4 Argon leads by +0.4
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Gemini 4 Argon
76.0
GPT-6.1 Sol
73.9
GPT-6 Astra
75.6
Artificial Analysis · MMMU Pro
GPT-6 Astra leads by +0.9
GPT-6.1 Sol
86.0
GPT-6 Astra
86.9
ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GPT-6.1 Sol
98.5
GPT-6 Astra
98.5
ARC-AGI-2
GPT-6 Astra leads by +0.8
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GPT-6.1 Sol
94.2
GPT-6 Astra
95.0
Ebr Bench
GPT-6 Astra leads by +21.9
GPT-6.1 Sol
54.3
GPT-6 Astra
76.2
Frontierswe
GPT-6 Astra leads by +10.6
Gemini 4 Argon
55.0
GPT-6 Astra
65.5
SpireClimb
GPT-6 Astra leads by +1.0
GPT-6.1 Sol
24.7
GPT-6 Astra
25.7
Full benchmark table
| Benchmark | Gemini 4 Argon | GPT-6.1 Sol | GPT-6 Astra |
|---|---|---|---|
Artificial Analysis · CritPt | 27.1 | 31.7 | 31.7 |
Artificial Analysis · GDPval | 56.2 | 54.7 | 53.6 |
Artificial Analysis · Humanity's Last Exam | 57.1 | 52.9 | 54.7 |
Artificial Analysis · Long Context Reasoning | 79.7 | 83.0 | 80.7 |
Artificial Analysis · Quality Index | 52.6 | 51.8 | 52.7 |
Artificial Analysis · SciCode | 61.8 | 54.2 | 56.5 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 82.4 | 60.0 | 64.7 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 56.9 | 66.3 | 72.6 |
Frontiercode | 47.5 | 50.2 | 53.3 |
FrontierMath-Tier-4-v2-Private | 78.0 | 100.0 | 97.6 |
FrontierMath-Tiers-1-3-v2-Private | 86.0 | 93.7 | 93.7 |
Furniture Assembly | 60.7 | 71.4 | 71.4 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 95.2 | 93.9 | 94.4 |
Mystery Game Puzzles | 60.3 | 78.0 | 82.4 |
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 | 100.0 |
Proofbench | 99.0 | 99.0 | 99.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 76.0 | 73.9 | 75.6 |
Artificial Analysis · MMMU Pro | — | 86.0 | 86.9 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | — | 98.5 | 98.5 |
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 | 95.0 |
Ebr Bench | — | 54.3 | 76.2 |
Frontierswe | 55.0 | — | 65.5 |
SpireClimb | — | 24.7 | 25.7 |
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 | |
| $2.00 | $10.00 | 1.1M tokens (~525 books) | $40.00 | |
| $10.00 | $50.00 | 1.1M tokens (~525 books) | $200.00 |