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Model comparison

DeepSeek V4 Pro Base vs Gemini 3.1 Pro

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
No comparison
55.3/100
0 category wins1 category wins

Public leaderboard positions: DeepSeek V4 Pro Base unranked (Not scored); Gemini 3.1 Pro #83 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro Base and Gemini 3.1 Pro share 0 comparable benchmark results. 1 of 8 categories are comparable. 24 results are unique to DeepSeek V4 Pro Base; 47 to Gemini 3.1 Pro.

Updated July 23, 2026
Shared results
0
DeepSeek V4 Pro Base only
24
Gemini 3.1 Pro only
47
Comparable categories
1 / 8

Treat this as a split decision. DeepSeek V4 Pro Base makes more sense if its workflow fits your team better; Gemini 3.1 Pro is the better fit if reasoning is the priority.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V4 Pro Base and Gemini 3.1 Pro finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricDeepSeek V4 Pro BaseGemini 3.1 ProComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro BaseNot availableGemini 3.1 Pro$2 input / $12 outputA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 Pro BaseNot availableGemini 3.1 Pro109 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Pro BaseNot availableGemini 3.1 Pro29.71 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro Base1MGemini 3.1 Pro1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 Pro BaseGemini 3.1 ProResult
Claw-EvalSource 57.8%Not comparable
DeepSearchQASource 69.7%Not comparable
τ²-bench resultsSource 95.6%Not comparable
AA Agentic IndexSource 21.4%Not comparable
APEX-Agents-AASource 32.0%Not comparable
GDPval-AASource 23.3%Not comparable
GDPval-AASource 965Not comparable
Gert LabsSource 56.87%Not comparable
ResearchClawBenchSource 13.3%Not comparable
AA AutomationBenchSource 37.5%Not comparable
AA EnterpriseOps-GymSource 42.2%Not comparable
AA Harvey LABSource 58.9%Not comparable
AA ITBenchSource 30.3%Not comparable
AA Tau3 BankingSource 16.5%Not comparable
terminalBenchHardSource 53.8%Not comparable
aaTerminalBench21Source 73.8%Not comparable
Coding
BenchmarkDeepSeek V4 Pro BaseGemini 3.1 ProResult
BigCodeBenchSource 59.2%Not comparable
HumanEvalSource 76.8%Not comparable
LiveCodeBench ProSource 82.9%Not comparable
React Native EvalsSource 78.9%Not comparable
Vibe Code BenchSource 32.03%Not comparable
AA Coding IndexSource 68.8%Not comparable
AA-SciCodeSource 58.9%Not comparable
ReasoningGemini 3.1 Pro wins
BenchmarkDeepSeek V4 Pro BaseGemini 3.1 ProResult
BBHSource 87.5%Not comparable
DROPSource 88.7%Not comparable
HellaSwagSource 88.0%Not comparable
WinoGrandeSource 81.5%Not comparable
CLUEWSCSource 85.2%Not comparable
LongBench v2Source 51.5%Not comparable
ARC-AGI-2Source 77.1%Not comparable
AA-LCRSource 72.7%Not comparable
CritPtSource 17.7%Not comparable
Knowledge
BenchmarkDeepSeek V4 Pro BaseGemini 3.1 ProResult
AGIEvalSource 83.1%Not comparable
MMLUSource 90.1%Not comparable
MMLU-ReduxSource 90.8%Not comparable
MMLU-ProSource 73.5%Not comparable
MMMLUSource 90.3%Not comparable
C-EvalSource 93.1%Not comparable
CMMLUSource 90.8%Not comparable
MultiLoKoSource 51.1%Not comparable
SimpleQASource 55.2%Not comparable
SuperGPQASource 53.9%Not comparable
FACTS ParametricSource 62.6%Not comparable
TriviaQASource 85.6%Not comparable
GPQA-DSource 94.3%Not comparable
HLE w/o toolsSource 45.4%Not comparable
HealthBench HardSource 20.6%Not comparable
MedXpertQA (Text)Source 71.5%Not comparable
Artificial Analysis Intelligence IndexSource 46.5%Not comparable
AA-GPQA DiamondSource 94.1%Not comparable
AA-HLESource 44.7%Not comparable
AA-Omniscience IndexSource 32.9%Not comparable
AA-Omniscience AccuracySource 55.3%Not comparable
AA-Omniscience Hallucination RateSource 49.9%Not comparable
Math
BenchmarkDeepSeek V4 Pro BaseGemini 3.1 ProResult
GSM8KSource 92.6%Not comparable
MATHSource 64.5%Not comparable
CMathSource 90.9%Not comparable
FrontierMath v2 (Tiers 1-3)Source 36.900%Not comparable
FrontierMath v2 (Tier 4)Source 16.700%Not comparable
Multilingual
BenchmarkDeepSeek V4 Pro BaseGemini 3.1 ProResult
MGSMSource 84.4%Not comparable
AA Global-MMLU-LiteSource 93.2%Not comparable
Multimodal
BenchmarkDeepSeek V4 Pro BaseGemini 3.1 ProResult
MMMU-ProSource 83.9%Not comparable
CharXivSource 80.2%Not comparable
ERQASource 69.4%Not comparable
SimpleVQASource 72.4%Not comparable
ScreenSpot ProSource 84.4%Not comparable
ZeroBenchSource 29.0%Not comparable
MedXpertQA (MM)Source 81.3%Not comparable
AA-MMMU-ProSource 82.4%Not comparable
Design Arena WebsiteSource 1281Not comparable
Inst. Following
BenchmarkDeepSeek V4 Pro BaseGemini 3.1 ProResult
AA-IFBenchSource 77.1%Not comparable
Frequently Asked Questions (2)

Which is better, DeepSeek V4 Pro Base or Gemini 3.1 Pro?

DeepSeek V4 Pro Base and Gemini 3.1 Pro are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for reasoning, DeepSeek V4 Pro Base or Gemini 3.1 Pro?

Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 77.1 versus 51.5. DeepSeek V4 Pro Base stays close enough that the answer can still flip depending on your workload.

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Last updated: July 23, 2026

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