Compare · ModelsLive · 2 picked · head to head
DeepSeek V4.1 Flash 1017 vs Gemini 3 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4.1 Flash 1017 wins on 6/7 benchmarks
DeepSeek V4.1 Flash 1017 wins 6 of 7 shared benchmarks. Leads in agentic · reasoning · knowledge.
Category leads
agentic·DeepSeek V4.1 Flash 1017reasoning·DeepSeek V4.1 Flash 1017knowledge·DeepSeek V4.1 Flash 1017math·DeepSeek V4.1 Flash 1017
Hype vs Reality
Attention vs performance
DeepSeek V4.1 Flash 1017
#41 by perf·#4 by attention
Gemini 3 Pro
#77 by perf·#10 by attention
Best value
DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017
254.9 pts/$
$0.25/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
7 benchmarks · 2 models
DeepSeek V4.1 Flash 1017Gemini 3 Pro
APEX-Agents
DeepSeek V4.1 Flash 1017 leads by +51.4
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 1017
69.8
Gemini 3 Pro
18.4
ARC-AGI
DeepSeek V4.1 Flash 1017 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 1017
94.5
Gemini 3 Pro
75.0
ARC-AGI-2
DeepSeek V4.1 Flash 1017 leads by +47.0
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
Gemini 3 Pro
31.1
Chess Puzzles
DeepSeek V4.1 Flash 1017 leads by +15.8
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
Gemini 3 Pro
27.4
GPQA diamond
DeepSeek V4.1 Flash 1017 leads by +0.8
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
Gemini 3 Pro
93.9
OTIS Mock AIME 2024-2025
DeepSeek V4.1 Flash 1017 leads by +8.1
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
DeepSeek V4.1 Flash 1017
99.4
Gemini 3 Pro
91.4
SimpleQA Verified
Gemini 3 Pro leads by +30.4
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
Gemini 3 Pro
72.9
Full benchmark table
| Benchmark | DeepSeek V4.1 Flash 1017 | Gemini 3 Pro |
|---|---|---|
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 69.8 | 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. | 78.1 | 31.1 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 43.2 | 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. | 94.7 | 93.9 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 99.4 | 91.4 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 42.5 | 72.9 |
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 | |
| n/a | n/a | n/a | n/a |
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