Compare · ModelsLive · 2 picked · head to head
GPT-5 Mini vs DeepSeek V3.2
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5 Mini wins on 10/16 benchmarks
GPT-5 Mini wins 10 of 16 shared benchmarks. Leads in reasoning · math · language.
Category leads
reasoning·GPT-5 Minimath·GPT-5 Miniknowledge·DeepSeek V3.2coding·DeepSeek V3.2language·GPT-5 Mini
Hype vs Reality
Attention vs performance
GPT-5 Mini
#63 by perf·no signal
DeepSeek V3.2
#82 by perf·no signal
Best value
DeepSeek V3.2
3.3x better value than GPT-5 Mini
GPT-5 Mini
49.8 pts/$
$1.13/M
DeepSeek V3.2
165.6 pts/$
$0.32/M
Vendor risk
Mixed exposure
One or more vendors flagged
OpenAI
$840.0B·Tier 1
DeepSeek
$3.4B·Tier 1
Head to head
16 benchmarks · 2 models
GPT-5 MiniDeepSeek V3.2
ARC-AGI
DeepSeek V3.2 leads by +2.7
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GPT-5 Mini
54.3
DeepSeek V3.2
57.0
ARC-AGI-2
GPT-5 Mini leads by +0.4
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GPT-5 Mini
4.4
DeepSeek V3.2
4.0
FrontierMath-2025-02-28-Private
GPT-5 Mini leads by +5.1
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
GPT-5 Mini
27.2
DeepSeek V3.2
22.1
FrontierMath-Tier-4-2025-07-01-Private
GPT-5 Mini leads by +4.2
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
GPT-5 Mini
6.3
DeepSeek V3.2
2.1
GPQA diamond
DeepSeek V3.2 leads by +11.2
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-5 Mini
66.7
DeepSeek V3.2
77.9
LiveBench · Agentic Coding
DeepSeek V3.2 leads by +11.7
GPT-5 Mini
35.0
DeepSeek V3.2
46.7
LiveBench · Coding
GPT-5 Mini leads by +0.4
GPT-5 Mini
76.1
DeepSeek V3.2
75.7
LiveBench · Data Analysis
GPT-5 Mini leads by +4.6
GPT-5 Mini
49.6
DeepSeek V3.2
45.0
LiveBench · If
GPT-5 Mini leads by +41.2
GPT-5 Mini
64.2
DeepSeek V3.2
23.1
LiveBench · Language
GPT-5 Mini leads by +4.9
GPT-5 Mini
69.2
DeepSeek V3.2
64.2
LiveBench · Mathematics
GPT-5 Mini leads by +10.4
GPT-5 Mini
74.4
DeepSeek V3.2
64.0
LiveBench · Overall
GPT-5 Mini leads by +9.2
GPT-5 Mini
61.0
DeepSeek V3.2
51.8
LiveBench · Reasoning
GPT-5 Mini leads by +14.4
GPT-5 Mini
58.6
DeepSeek V3.2
44.3
OTIS Mock AIME 2024-2025
DeepSeek V3.2 leads by +1.2
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GPT-5 Mini
86.7
DeepSeek V3.2
87.8
SimpleQA Verified
DeepSeek V3.2 leads by +6.5
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
GPT-5 Mini
21.0
DeepSeek V3.2
27.5
Terminal Bench
DeepSeek V3.2 leads by +4.8
Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency.
GPT-5 Mini
34.8
DeepSeek V3.2
39.6
Full benchmark table
| Benchmark | GPT-5 Mini | DeepSeek V3.2 |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 54.3 | 57.0 |
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. | 4.4 | 4.0 |
FrontierMath-2025-02-28-Private FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning. | 27.2 | 22.1 |
FrontierMath-Tier-4-2025-07-01-Private FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning. | 6.3 | 2.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 66.7 | 77.9 |
LiveBench · Agentic Coding | 35.0 | 46.7 |
LiveBench · Coding | 76.1 | 75.7 |
LiveBench · Data Analysis | 49.6 | 45.0 |
LiveBench · If | 64.2 | 23.1 |
LiveBench · Language | 69.2 | 64.2 |
LiveBench · Mathematics | 74.4 | 64.0 |
LiveBench · Overall | 61.0 | 51.8 |
LiveBench · Reasoning | 58.6 | 44.3 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 86.7 | 87.8 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 21.0 | 27.5 |
Terminal Bench Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency. | 34.8 | 39.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.25 | $2.00 | 400K tokens (~200 books) | $6.88 | |
| $0.26 | $0.38 | 164K tokens (~82 books) | $2.90 |