Compare · ModelsLive · 2 picked · head to head
DeepSeek V4.1 Flash 1017 vs o3 Mini
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4.1 Flash 1017 wins on 9/9 benchmarks
DeepSeek V4.1 Flash 1017 wins 9 of 9 shared benchmarks. Leads in reasoning · knowledge · math.
Category leads
reasoning·DeepSeek V4.1 Flash 1017knowledge·DeepSeek V4.1 Flash 1017math·DeepSeek V4.1 Flash 1017general·DeepSeek V4.1 Flash 1017
Hype vs Reality
Attention vs performance
DeepSeek V4.1 Flash 1017
#41 by perf·#4 by attention
o3 Mini
#256 by perf·no signal
Best value
DeepSeek V4.1 Flash 1017
21.6x better value than o3 Mini
DeepSeek V4.1 Flash 1017
254.9 pts/$
$0.25/M
o3 Mini
11.8 pts/$
$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
9 benchmarks · 2 models
DeepSeek V4.1 Flash 1017o3 Mini
ARC-AGI
DeepSeek V4.1 Flash 1017 leads by +60.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
DeepSeek V4.1 Flash 1017
94.5
o3 Mini
34.5
ARC-AGI-2
DeepSeek V4.1 Flash 1017 leads by +75.1
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
DeepSeek V4.1 Flash 1017
78.1
o3 Mini
3.0
Chess Puzzles
DeepSeek V4.1 Flash 1017 leads by +32.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
DeepSeek V4.1 Flash 1017
43.2
o3 Mini
10.6
FrontierMath-Tier-4-v2-Private
DeepSeek V4.1 Flash 1017 leads by +46.3
DeepSeek V4.1 Flash 1017
46.3
o3 Mini
0.0
FrontierMath-Tiers-1-3-v2-Private
DeepSeek V4.1 Flash 1017 leads by +55.4
DeepSeek V4.1 Flash 1017
75.0
o3 Mini
19.6
GPQA diamond
DeepSeek V4.1 Flash 1017 leads by +25.3
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
DeepSeek V4.1 Flash 1017
94.7
o3 Mini
69.4
Mystery Game Puzzles
DeepSeek V4.1 Flash 1017 leads by +43.8
DeepSeek V4.1 Flash 1017
43.8
o3 Mini
0.0
OTIS Mock AIME 2024-2025
DeepSeek V4.1 Flash 1017 leads by +22.5
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
DeepSeek V4.1 Flash 1017
99.4
o3 Mini
76.9
SimpleQA Verified
DeepSeek V4.1 Flash 1017 leads by +27.2
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
DeepSeek V4.1 Flash 1017
42.5
o3 Mini
15.3
Full benchmark table
| Benchmark | DeepSeek V4.1 Flash 1017 | o3 Mini |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 94.5 | 34.5 |
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. | 78.1 | 3.0 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 43.2 | 10.6 |
FrontierMath-Tier-4-v2-Private | 46.3 | 0.0 |
FrontierMath-Tiers-1-3-v2-Private | 75.0 | 19.6 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 94.7 | 69.4 |
Mystery Game Puzzles | 43.8 | 0.0 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 99.4 | 76.9 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 42.5 | 15.3 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.01 | $0.50 | 1.0M tokens (~524 books) | $1.29 | |
| $1.10 | $4.40 | 200K tokens (~100 books) | $19.25 |
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