Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 vs o4 Mini
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 wins on 7/11 benchmarks
DeepSeek V3.2 wins 7 of 11 shared benchmarks. Leads in coding · knowledge · general.
Category leads
coding·DeepSeek V3.2reasoning·o4 Miniknowledge·DeepSeek V3.2general·DeepSeek V3.2math·DeepSeek V3.2
Hype vs Reality
Attention vs performance
DeepSeek V3.2
#142 by perf·no signal
o4 Mini
#132 by perf·no signal
Best value
DeepSeek V3.2
7.7x better value than o4 Mini
DeepSeek V3.2
136.3 pts/$
$0.35/M
o4 Mini
17.6 pts/$
$2.75/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
11 benchmarks · 2 models
DeepSeek V3.2o4 Mini
Aider polyglot
DeepSeek V3.2 leads by +2.2
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
DeepSeek V3.2
74.2
o4 Mini
72.0
ARC-AGI
o4 Mini leads by +1.7
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
DeepSeek V3.2
57.0
o4 Mini
58.7
ARC-AGI-2
o4 Mini leads by +2.1
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
DeepSeek V3.2
4.0
o4 Mini
6.1
Chess Puzzles
o4 Mini leads by +12.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
DeepSeek V3.2
9.5
o4 Mini
22.1
Dtbench
DeepSeek V3.2 leads by +13.3
DeepSeek V3.2
76.0
o4 Mini
62.7
FrontierMath-2025-02-28-Private
DeepSeek V3.2 leads by +13.9
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
DeepSeek V3.2
38.8
o4 Mini
24.8
FrontierMath-Tier-4-2025-07-01-Private
o4 Mini leads by +2.8
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
DeepSeek V3.2
3.5
o4 Mini
6.3
GPQA diamond
DeepSeek V3.2 leads by +5.1
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
DeepSeek V3.2
77.9
o4 Mini
72.8
Lmca
DeepSeek V3.2 leads by +2.7
DeepSeek V3.2
33.9
o4 Mini
31.2
OTIS Mock AIME 2024-2025
DeepSeek V3.2 leads by +6.2
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
DeepSeek V3.2
87.8
o4 Mini
81.7
SimpleQA Verified
DeepSeek V3.2 leads by +7.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
DeepSeek V3.2
27.5
o4 Mini
19.6
Full benchmark table
| Benchmark | DeepSeek V3.2 | o4 Mini |
|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 74.2 | 72.0 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 57.0 | 58.7 |
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. | 4.0 | 6.1 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 9.5 | 22.1 |
Dtbench | 76.0 | 62.7 |
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. | 38.8 | 24.8 |
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. | 3.5 | 6.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 77.9 | 72.8 |
Lmca | 33.9 | 31.2 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 87.8 | 81.7 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 27.5 | 19.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.28 | $0.42 | 164K tokens (~82 books) | $3.15 | |
| $1.10 | $4.40 | 200K tokens (~100 books) | $19.25 |
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