Compare · ModelsLive · 2 picked · head to head
DeepSeek V4.1 Flash vs o3
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4.1 Flash wins on 15/16 benchmarks
DeepSeek V4.1 Flash wins 15 of 16 shared benchmarks. Leads in speed · agentic · reasoning.
Category leads
speed·DeepSeek V4.1 Flashagentic·DeepSeek V4.1 Flashreasoning·DeepSeek V4.1 Flashknowledge·DeepSeek V4.1 Flashgeneral·DeepSeek V4.1 Flashmath·DeepSeek V4.1 Flash
Hype vs Reality
Attention vs performance
DeepSeek V4.1 Flash
#97 by perf·#4 by attention
o3
#121 by perf·no signal
Best value
DeepSeek V4.1 Flash
17.1x better value than o3
DeepSeek V4.1 Flash
175.1 pts/$
$0.31/M
o3
10.3 pts/$
$5.00/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
16 benchmarks · 2 models
DeepSeek V4.1 Flasho3
Artificial Analysis · CritPt
DeepSeek V4.1 Flash leads by +13.2
DeepSeek V4.1 Flash
14.3
o3
1.1
Artificial Analysis · Humanity's Last Exam
DeepSeek V4.1 Flash leads by +19.1
DeepSeek V4.1 Flash
39.2
o3
20.1
Artificial Analysis · Long Context Reasoning
DeepSeek V4.1 Flash leads by +9.3
DeepSeek V4.1 Flash
84.0
o3
74.7
Artificial Analysis · MMMU Pro
DeepSeek V4.1 Flash leads by +6.9
DeepSeek V4.1 Flash
77.0
o3
70.1
Artificial Analysis · Quality Index
DeepSeek V4.1 Flash leads by +19.3
DeepSeek V4.1 Flash
39.5
o3
20.2
APEX-Agents
DeepSeek V4.1 Flash leads by +22.3
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
DeepSeek V4.1 Flash
39.5
o3
17.2
ARC-AGI
DeepSeek V4.1 Flash leads by +33.7
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
DeepSeek V4.1 Flash
94.5
o3
60.8
ARC-AGI-2
DeepSeek V4.1 Flash leads by +66.4
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
72.9
o3
6.5
Chess Puzzles
DeepSeek V4.1 Flash leads by +11.6
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
DeepSeek V4.1 Flash
45.3
o3
33.7
Dtbench
DeepSeek V4.1 Flash leads by +8.5
DeepSeek V4.1 Flash
83.1
o3
74.7
FrontierMath-Tiers-1-3-v2-Private
DeepSeek V4.1 Flash leads by +35.8
DeepSeek V4.1 Flash
70.9
o3
35.1
GPQA diamond
DeepSeek V4.1 Flash leads by +14.3
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
90.0
o3
75.8
Lmca
DeepSeek V4.1 Flash leads by +8.5
DeepSeek V4.1 Flash
55.3
o3
46.7
Mystery Game Puzzles
DeepSeek V4.1 Flash leads by +15.4
DeepSeek V4.1 Flash
37.2
o3
21.8
OTIS Mock AIME 2024-2025
DeepSeek V4.1 Flash leads by +13.9
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
DeepSeek V4.1 Flash
98.3
o3
84.4
SimpleQA Verified
o3 leads by +10.1
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
DeepSeek V4.1 Flash
42.9
o3
53.0
Full benchmark table
| Benchmark | DeepSeek V4.1 Flash | o3 |
|---|---|---|
Artificial Analysis · CritPt | 14.3 | 1.1 |
Artificial Analysis · Humanity's Last Exam | 39.2 | 20.1 |
Artificial Analysis · Long Context Reasoning | 84.0 | 74.7 |
Artificial Analysis · MMMU Pro | 77.0 | 70.1 |
Artificial Analysis · Quality Index | 39.5 | 20.2 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 39.5 | 17.2 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 94.5 | 60.8 |
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. | 72.9 | 6.5 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 45.3 | 33.7 |
Dtbench | 83.1 | 74.7 |
FrontierMath-Tiers-1-3-v2-Private | 70.9 | 35.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 90.0 | 75.8 |
Lmca | 55.3 | 46.7 |
Mystery Game Puzzles | 37.2 | 21.8 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 98.3 | 84.4 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 42.9 | 53.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.05 | $0.57 | 1.0M tokens (~524 books) | $1.80 | |
| $2.00 | $8.00 | 200K tokens (~100 books) | $35.00 |