Model comparison

DeepSeek-V3.1 vs Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 42.8 on the Noometry Index. DeepSeek-V3.1 costs 11× less per token, which makes it the better buy when Gemini 3.1 Pro Preview's lead doesn't matter for your workload.

Last verified October 12, 2026. 25 shared benchmarks.

DeepSeek-V3.1

DeepSeek

42.8

Rank #108 Confirmed

Gemini 3.1 Pro Preview

Google

56.7

Rank #23 Confirmed

Summary

They share 25 benchmarks with published results for both. DeepSeek-V3.1 scores higher in 0 categories and Gemini 3.1 Pro Preview in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 27.9.
The biggest single-benchmark swing is SimpleBench: 40% for DeepSeek-V3.1 and 79.6% for Gemini 3.1 Pro Preview.
DeepSeek-V3.1 is cheaper at $0.25 / $0.95 per million input/output tokens, against $2 / $12 for Gemini 3.1 Pro Preview.
Gemini 3.1 Pro 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 3.1 Pro Preview specifications
	DeepSeek-V3.1	Gemini 3.1 Pro Preview
Provider	DeepSeek	Google
Noometry Index	42.8	56.7
Released	2025-08-21	2026-02-19
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	8K	66K
Input $ / M tokens	$0.25	$2
Output $ / M tokens	$0.95	$12
Results tracked	27	71

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Gemini 3.1 Pro Preview leads

DeepSeek-V3.1: 40.3 (#144), Gemini 3.1 Pro Preview: 42.5 (#99)

Coding benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
WeirdML	38.4%	72.1%
LMArena Coding	1417	1484
SWE-bench Verified	—	75.6%
DeepSWE	—	11.7%
LMArena WebDev	—	1447
SciCode	—	58.9%
GSO	—	22.6%
MirrorCode	—	8.9%
ALE-Bench	—	1,161
AlgoTune	—	2.02

Agentic & Tool Use Not comparable

DeepSeek-V3.1: —, Gemini 3.1 Pro Preview: 37.7 (#34)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
Terminal-Bench	—	80.2%
APEX-Agents	—	35.3%
τ²-bench Banking	—	26%
DeepResearch Bench	—	47.8%
PostTrainBench	—	22%
BALROG	—	57%
ExploitBench	—	26.1%
GBAEval	—	0.8%
GDP.pdf	—	17%
LMArena Search	—	1211
METR Time Horizons	—	77%
Vending-Bench 2	—	3,774

Reasoning Gemini 3.1 Pro Preview leads

DeepSeek-V3.1: 27.9 (#110), Gemini 3.1 Pro Preview: 71.7 (#12)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
SimpleBench	40%	79.6%
LMArena Hard Prompts	1417	1485
DTBench	82.7%	97.1%
LMCA	24.3%	53.8%
Epoch Capabilities Index	139.92	154.77
ForecastBench	58	59
ARC-AGI-2	—	77.1%
Kagi LLM Benchmark	53.2%	—
NYT Connections (extended)	—	97.4%
ARC-AGI-1	—	98%
CritPt	—	17.7%
Chess Puzzles	—	55%
EnigmaEval	—	36.8%
Thematic Generalization	—	79.4%
EBR-Bench	—	14.3%
Mystery Game Puzzles	—	34%

Math Gemini 3.1 Pro Preview leads

DeepSeek-V3.1: 38.9 (#122), Gemini 3.1 Pro Preview: 62.1 (#34)

Math benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
LMArena Math	1420	1485
FrontierMath (Tiers 1-3)	—	59.6%
FrontierMath Tier 4	—	26.8%
MathArena Final-Answer Competitions	—	86.5%
OTIS Mock AIME 2024-2025	—	95.6%
ProofBench	—	26%
FrontierMath (Feb 2025 set)	—	36.9%
FrontierMath Tier 4 (v1)	—	16.7%

Knowledge Gemini 3.1 Pro Preview leads

DeepSeek-V3.1: 43.7 (#90), Gemini 3.1 Pro Preview: 71.8 (#3)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
Vectara Hallucination Rate	5.5%	10.4%
LMArena Expert	1405	1485
GPQA Diamond	—	94.4%
Humanity's Last Exam	—	46.4%
SimpleQA Verified	—	73.5%

Multimodal Not comparable

DeepSeek-V3.1: —, Gemini 3.1 Pro Preview: 37.9 (#69)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
LMArena Vision	—	1296
Blueprint-Bench 2	—	26.5%
Furniture Assembly	—	26.7%
LMArena Document	—	1444

Multilingual Gemini 3.1 Pro Preview leads

DeepSeek-V3.1: 51.6 (#106), Gemini 3.1 Pro Preview: 57.0 (#12)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
LMArena Non-English	1400	1477
LMArena Chinese	1469	1529
LMArena French	1447	1487
LMArena German	1411	1491
LMArena Japanese	1378	1493
LMArena Korean	1337	1455
LMArena Russian	1405	1498
LMArena Spanish	1431	1479

Instruction Following Gemini 3.1 Pro Preview leads

DeepSeek-V3.1: 73.9 (#110), Gemini 3.1 Pro Preview: 77.0 (#32)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
LMArena Instruction Following	1400	1466

Long Context Gemini 3.1 Pro Preview leads

DeepSeek-V3.1: 36.3 (#232), Gemini 3.1 Pro Preview: 47.4 (#18)

Long Context benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
LMArena Longer Query	1422	1483
Fiction.LiveBench	52.8%	—
CL-bench	—	20.8%
CL-bench Life	—	16.9%

Writing & Preference Gemini 3.1 Pro Preview leads

DeepSeek-V3.1: 60.3 (#98), Gemini 3.1 Pro Preview: 66.1 (#37)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1	Gemini 3.1 Pro Preview
LMArena Text	1420	1481
LMArena Creative Writing	1401	1482
EQ-Bench Creative Writing	1436	1491
LMArena Multi-Turn	1408	1488
EQ-Bench 4	—	1142

Frequently asked questions

Is DeepSeek-V3.1 better than Gemini 3.1 Pro Preview?

Which is cheaper, DeepSeek-V3.1 or Gemini 3.1 Pro Preview?

DeepSeek-V3.1 is cheaper. It lists at $0.25 per million input tokens and $0.95 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

Is DeepSeek-V3.1 or Gemini 3.1 Pro Preview better for coding?

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.5 versus 40.3 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.1 Pro Preview does, with 1.05M tokens against 164K.

How many benchmarks do DeepSeek-V3.1 and Gemini 3.1 Pro Preview share?

25 benchmarks have published results for both models. DeepSeek-V3.1 has 27 scored results on Noometry and Gemini 3.1 Pro Preview has 71.