Model comparison

DeepSeek-V3.1 vs Gemini 3 Flash Preview

Gemini 3 Flash Preview is the stronger model overall, scoring 52.3 to 42.8 on the Noometry Index. DeepSeek-V3.1 costs 2.6× less per token, which makes it the better buy when Gemini 3 Flash Preview's lead doesn't matter for your workload.

Last verified October 11, 2026. 24 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.8

Rank #108 Confirmed

Gemini 3 Flash Preview

Google

52.3

Rank #40 Confirmed

Summary

They share 24 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and Gemini 3 Flash Preview in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Gemini 3 Flash Preview leads 49.2 to 27.9.
The biggest single-benchmark swing is WeirdML: 38.4% for DeepSeek-V3.1 and 61.6% for Gemini 3 Flash Preview.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $0.50 / $3 for Gemini 3 Flash Preview.
Gemini 3 Flash Preview accepts more context: 1.05M tokens versus 164K.
DeepSeek-V3.1 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1 and Gemini 3 Flash Preview specifications
	DeepSeek-V3.1	Gemini 3 Flash Preview
Provider	DeepSeek	Google
Noometry Index	42.8	52.3
Released	2025-08-21	2025-12-17
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	8K	66K
Input $ / M tokens	$0.25	$0.50
Output $ / M tokens	$0.95	$3
Results tracked	27	59

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Category by category

Coding Gemini 3 Flash Preview leads

DeepSeek-V3.1: 40.3 (#144), Gemini 3 Flash Preview: 50.9 (#42)

Coding benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
WeirdML	38.4%	61.6%
LMArena Coding	1417	1460
SWE-bench Verified	—	75.4%
SWE-bench Verified (bash only)	—	75.8%
LMArena WebDev	—	1439
SWE-bench Multilingual	—	72.7%
GSO	—	9.8%
ALE-Bench	—	1,367

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, Gemini 3 Flash Preview: 38.7 (#29)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
Terminal-Bench	—	64.3%
τ²-bench Airline	—	82.5%
τ²-bench Banking	—	27.3%
τ²-bench Retail	—	76.8%
τ²-bench Telecom	—	91.2%
DeepResearch Bench	—	49.8%
BALROG	—	48.1%
GDP.pdf	—	10%
LMArena Search	—	1198
Vending-Bench 2	—	3,635

Reasoning Gemini 3 Flash Preview leads

DeepSeek-V3.1: 27.9 (#110), Gemini 3 Flash Preview: 49.2 (#37)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
SimpleBench	40%	61.1%
LMArena Hard Prompts	1417	1465
DTBench	82.7%	89.1%
LMCA	24.3%	43.1%
Epoch Capabilities Index	139.92	151.8
ForecastBench	58	58.5
ARC-AGI-2	—	33.6%
Kagi LLM Benchmark	53.2%	—
NYT Connections (extended)	—	83.1%
ARC-AGI-1	—	84.7%
Chess Puzzles	—	40%
Mystery Game Puzzles	—	26%

Math Gemini 3 Flash Preview leads

DeepSeek-V3.1: 38.9 (#122), Gemini 3 Flash Preview: 51.7 (#55)

Math benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
LMArena Math	1420	1473
FrontierMath (Tiers 1-3)	—	51.2%
FrontierMath Tier 4	—	17.1%
MathArena Final-Answer Competitions	—	67.6%
OTIS Mock AIME 2024-2025	—	95.6%
ProofBench	—	15%
FrontierMath (Feb 2025 set)	—	35.6%
FrontierMath Tier 4 (v1)	—	4.2%

Knowledge Gemini 3 Flash Preview leads

DeepSeek-V3.1: 43.7 (#90), Gemini 3 Flash Preview: 58.8 (#33)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
Vectara Hallucination Rate	5.5%	13.5%
LMArena Expert	1405	1462
GPQA Diamond	—	89.4%
SimpleQA Verified	—	66.8%

Multimodal Not comparable

DeepSeek-V3.1: —, Gemini 3 Flash Preview: 45.5 (#16)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
LMArena Vision	—	1285
GeoBench	—	88%
VPCT	—	72.6%
Blueprint-Bench 2	—	0%
LMArena Document	—	1413

Multilingual Gemini 3 Flash Preview leads

DeepSeek-V3.1: 51.6 (#106), Gemini 3 Flash Preview: 55.7 (#27)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
LMArena Non-English	1400	1458
LMArena Chinese	1469	1511
LMArena French	1447	1477
LMArena German	1411	1497
LMArena Japanese	1378	1489
LMArena Korean	1337	1443
LMArena Russian	1405	1480
LMArena Spanish	1431	1469

Instruction Following Gemini 3 Flash Preview leads

DeepSeek-V3.1: 73.9 (#110), Gemini 3 Flash Preview: 75.7 (#56)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
LMArena Instruction Following	1400	1437

Long Context Gemini 3 Flash Preview leads

DeepSeek-V3.1: 36.3 (#232), Gemini 3 Flash Preview: 44.4 (#67)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
LMArena Longer Query	1422	1452
Fiction.LiveBench	52.8%	—

Writing & Preference Gemini 3 Flash Preview leads

DeepSeek-V3.1: 60.3 (#98), Gemini 3 Flash Preview: 65.5 (#45)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3 Flash Preview
LMArena Text	1420	1466
LMArena Creative Writing	1401	1457
LMArena Multi-Turn	1408	1471
EQ-Bench Creative Writing	1436	—

Frequently asked questions

Is DeepSeek-V3.1 better than Gemini 3 Flash Preview?

Which is cheaper, DeepSeek-V3.1 or Gemini 3 Flash Preview?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Gemini 3 Flash Preview lists at $0.50 and $3.

Is DeepSeek-V3.1 or Gemini 3 Flash Preview better for coding?

Gemini 3 Flash Preview scores higher on coding benchmarks: 50.9 versus 40.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 3 Flash Preview does, with 1.05M tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and Gemini 3 Flash Preview share?

24 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini 3 Flash Preview has 59.