Compare · ModelsLive · 2 picked · head to head
DeepSeek V4.1 Flash vs Gemini 3 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4.1 Flash wins on 6/9 benchmarks
DeepSeek V4.1 Flash wins 6 of 9 shared benchmarks. Leads in agentic · reasoning · math.
Category leads
speed·Gemini 3 Proagentic·DeepSeek V4.1 Flashreasoning·DeepSeek V4.1 Flashknowledge·Gemini 3 Promath·DeepSeek V4.1 Flashgeneral·DeepSeek V4.1 Flash
Hype vs Reality
Attention vs performance
DeepSeek V4.1 Flash
#97 by perf·#4 by attention
Gemini 3 Pro
#77 by perf·#10 by attention
Best value
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash
175.1 pts/$
$0.31/M
Gemini 3 Pro
n/a
no price
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
Google DeepMind
$3.53T·Tier 1
Head to head
9 benchmarks · 2 models
DeepSeek V4.1 FlashGemini 3 Pro
Artificial Analysis · Quality Index
Gemini 3 Pro leads by +1.8
DeepSeek V4.1 Flash
39.5
Gemini 3 Pro
41.3
APEX-Agents
DeepSeek V4.1 Flash leads by +21.1
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
Gemini 3 Pro
18.4
ARC-AGI
DeepSeek V4.1 Flash leads by +19.5
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
Gemini 3 Pro
75.0
ARC-AGI-2
DeepSeek V4.1 Flash leads by +41.8
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
Gemini 3 Pro
31.1
Chess Puzzles
DeepSeek V4.1 Flash leads by +17.9
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
Gemini 3 Pro
27.4
GPQA diamond
Gemini 3 Pro leads by +3.9
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
Gemini 3 Pro
93.9
OTIS Mock AIME 2024-2025
DeepSeek V4.1 Flash leads by +7.0
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
DeepSeek V4.1 Flash
98.3
Gemini 3 Pro
91.4
Proofbench
DeepSeek V4.1 Flash leads by +34.0
DeepSeek V4.1 Flash
54.0
Gemini 3 Pro
20.0
SimpleQA Verified
Gemini 3 Pro leads by +30.0
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
Gemini 3 Pro
72.9
Full benchmark table
| Benchmark | DeepSeek V4.1 Flash | Gemini 3 Pro |
|---|---|---|
Artificial Analysis · Quality Index | 39.5 | 41.3 |
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 | 18.4 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 94.5 | 75.0 |
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. | 72.9 | 31.1 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 45.3 | 27.4 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 90.0 | 93.9 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 98.3 | 91.4 |
Proofbench | 54.0 | 20.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 42.9 | 72.9 |
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 | |
| n/a | n/a | n/a | n/a |