Compare · ModelsLive · 2 picked · head to head
Gemini 3 Flash Preview vs DeepSeek V3.2
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3 Flash Preview wins on 11/14 benchmarks
Gemini 3 Flash Preview wins 11 of 14 shared benchmarks. Leads in speed · arena · knowledge.
Category leads
speed·Gemini 3 Flash Previewreasoning·DeepSeek V3.2arena·Gemini 3 Flash Previewknowledge·Gemini 3 Flash Previewmath·Gemini 3 Flash Previewcoding·Gemini 3 Flash Preview
Hype vs Reality
Attention vs performance
Gemini 3 Flash Preview
#98 by perf·no signal
DeepSeek V3.2
#84 by perf·no signal
Best value
DeepSeek V3.2
6.0x better value than Gemini 3 Flash Preview
Gemini 3 Flash Preview
28.1 pts/$
$1.75/M
DeepSeek V3.2
168.3 pts/$
$0.32/M
Vendor risk
Mixed exposure
One or more vendors flagged
Google DeepMind
$4.00T·Tier 1
DeepSeek
$3.4B·Tier 1
Head to head
14 benchmarks · 2 models
Gemini 3 Flash PreviewDeepSeek V3.2
Artificial Analysis · Agentic Index
DeepSeek V3.2 leads by +3.3
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
Gemini 3 Flash Preview
49.7
DeepSeek V3.2
52.9
Artificial Analysis · Coding Index
Gemini 3 Flash Preview leads by +5.9
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
Gemini 3 Flash Preview
42.6
DeepSeek V3.2
36.7
Artificial Analysis · Quality Index
Gemini 3 Flash Preview leads by +4.7
Gemini 3 Flash Preview
46.4
DeepSeek V3.2
41.7
ARC-AGI
DeepSeek V3.2 leads by +35.5
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 3 Flash Preview
21.5
DeepSeek V3.2
57.0
ARC-AGI-2
Gemini 3 Flash Preview leads by +29.6
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 3 Flash Preview
33.6
DeepSeek V3.2
4.0
Chatbot Arena Elo · Coding
Gemini 3 Flash Preview leads by +109.6
Gemini 3 Flash Preview
1436.4
DeepSeek V3.2
1326.9
Chatbot Arena Elo · Overall
Gemini 3 Flash Preview leads by +49.5
Gemini 3 Flash Preview
1473.9
DeepSeek V3.2
1424.4
Chess Puzzles
Gemini 3 Flash Preview leads by +24.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 3 Flash Preview
38.0
DeepSeek V3.2
14.0
FrontierMath-2025-02-28-Private
Gemini 3 Flash Preview leads by +13.5
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
Gemini 3 Flash Preview
35.6
DeepSeek V3.2
22.1
FrontierMath-Tier-4-2025-07-01-Private
Gemini 3 Flash Preview leads by +2.1
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
Gemini 3 Flash Preview
4.2
DeepSeek V3.2
2.1
GPQA diamond
DeepSeek V3.2 leads by +0.3
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 3 Flash Preview
77.6
DeepSeek V3.2
77.9
OTIS Mock AIME 2024-2025
Gemini 3 Flash Preview leads by +5.0
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 3 Flash Preview
92.8
DeepSeek V3.2
87.8
SimpleQA Verified
Gemini 3 Flash Preview leads by +39.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
Gemini 3 Flash Preview
67.4
DeepSeek V3.2
27.5
Terminal Bench
Gemini 3 Flash Preview leads by +24.7
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
Gemini 3 Flash Preview
64.3
DeepSeek V3.2
39.6
Full benchmark table
| Benchmark | Gemini 3 Flash Preview | DeepSeek V3.2 |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 49.7 | 52.9 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 42.6 | 36.7 |
Artificial Analysis · Quality Index | 46.4 | 41.7 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 21.5 | 57.0 |
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. | 33.6 | 4.0 |
Chatbot Arena Elo · Coding | 1436.4 | 1326.9 |
Chatbot Arena Elo · Overall | 1473.9 | 1424.4 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 38.0 | 14.0 |
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. | 35.6 | 22.1 |
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. | 4.2 | 2.1 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 77.6 | 77.9 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 92.8 | 87.8 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 67.4 | 27.5 |
Terminal Bench Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence. | 64.3 | 39.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.50 | $3.00 | 1.0M tokens (~524 books) | $11.25 | |
| $0.25 | $0.38 | 131K tokens (~66 books) | $2.83 |