Compare · ModelsLive · 2 picked · head to head
R1 0528 vs GPT-5 Mini
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5 Mini wins on 10/12 benchmarks
GPT-5 Mini wins 10 of 12 shared benchmarks. Leads in reasoning · language · math.
Category leads
reasoning·GPT-5 Miniknowledge·R1 0528language·GPT-5 Minimath·GPT-5 Minicoding·GPT-5 Mini
Hype vs Reality
Attention vs performance
R1 0528
#57 by perf·#14 by attention
GPT-5 Mini
#108 by perf·#4 by attention
Best value
GPT-5 Mini
1.0x better value than R1 0528
R1 0528
43.7 pts/$
$1.32/M
GPT-5 Mini
45.8 pts/$
$1.13/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
12 benchmarks · 2 models
R1 0528GPT-5 Mini
ARC-AGI
GPT-5 Mini leads by +33.1
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
R1 0528
21.2
GPT-5 Mini
54.3
ARC-AGI-2
GPT-5 Mini leads by +3.3
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
R1 0528
1.1
GPT-5 Mini
4.4
GPQA diamond
R1 0528 leads by +1.8
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
R1 0528
68.4
GPT-5 Mini
66.7
HELM · GPQA
GPT-5 Mini leads by +9.0
R1 0528
66.6
GPT-5 Mini
75.6
HELM · IFEval
GPT-5 Mini leads by +14.3
R1 0528
78.4
GPT-5 Mini
92.7
HELM · MMLU-Pro
GPT-5 Mini leads by +4.2
R1 0528
79.3
GPT-5 Mini
83.5
HELM · Omni-MATH
GPT-5 Mini leads by +29.8
R1 0528
42.4
GPT-5 Mini
72.2
HELM · WildBench
GPT-5 Mini leads by +2.7
R1 0528
82.8
GPT-5 Mini
85.5
MATH level 5
GPT-5 Mini leads by +1.2
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
R1 0528
96.6
GPT-5 Mini
97.8
OTIS Mock AIME 2024-2025
GPT-5 Mini leads by +20.3
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
R1 0528
66.4
GPT-5 Mini
86.7
SimpleQA Verified
R1 0528 leads by +5.8
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
R1 0528
27.4
GPT-5 Mini
21.6
WeirdML
GPT-5 Mini leads by +11.0
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
R1 0528
41.6
GPT-5 Mini
52.7
Full benchmark table
| Benchmark | R1 0528 | GPT-5 Mini |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 21.2 | 54.3 |
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. | 1.1 | 4.4 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 68.4 | 66.7 |
HELM · GPQA | 66.6 | 75.6 |
HELM · IFEval | 78.4 | 92.7 |
HELM · MMLU-Pro | 79.3 | 83.5 |
HELM · Omni-MATH | 42.4 | 72.2 |
HELM · WildBench | 82.8 | 85.5 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 96.6 | 97.8 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 66.4 | 86.7 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 27.4 | 21.6 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 41.6 | 52.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.50 | $2.15 | 164K tokens (~82 books) | $9.13 | |
| $0.25 | $2.00 | 400K tokens (~200 books) | $6.88 |