Model comparison

DeepSeek-V3.1-Terminus vs Gemini 3.1 Pro Preview

Gemini 3.1 Pro Preview is the stronger model overall, scoring 56.7 to 42.6 on the Noometry Index. DeepSeek-V3.1-Terminus costs 9.5× 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 10, 2026. 15 shared benchmarks.

DeepSeek-V3.1-Terminus

DeepSeek

42.6

Rank #96 Confirmed

Gemini 3.1 Pro Preview

Google

56.7

Rank #20 Confirmed

Summary

They share 15 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 0 categories and Gemini 3.1 Pro Preview in 7 categories; 7 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Gemini 3.1 Pro Preview leads 71.7 to 25.7.
The biggest single-benchmark swing is LMCA: 28.6% for DeepSeek-V3.1-Terminus and 53.8% for Gemini 3.1 Pro Preview.
DeepSeek-V3.1-Terminus is cheaper at $0.30 / $1 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-Terminus has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1-Terminus and Gemini 3.1 Pro Preview specifications
	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
Provider	DeepSeek	Google
Noometry Index	42.6	56.7
Released	2025-09-22	2026-02-19
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	66K	66K
Input $ / M tokens	$0.30	$2
Output $ / M tokens	$1	$12
Results tracked	16	71

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Category by category

Coding Gemini 3.1 Pro Preview leads

DeepSeek-V3.1-Terminus: 41.5 (#114), Gemini 3.1 Pro Preview: 42.7 (#88)

Coding benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
SciCode	40.6%	58.9%
LMArena Coding	1426	1483
ALE-Bench	745.17	1,161
SWE-bench Verified	—	75.6%
DeepSWE	—	11.7%
LMArena WebDev	—	1446
GSO	—	22.6%
WeirdML	—	72.1%
MirrorCode	—	8.9%
AlgoTune	—	2.02

Agentic & Tool Use Not comparable

DeepSeek-V3.1-Terminus: —, Gemini 3.1 Pro Preview: 37.7 (#33)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1-Terminus	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-Terminus: 25.7 (#126), Gemini 3.1 Pro Preview: 71.7 (#9)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
CritPt	1.7%	17.7%
LMArena Hard Prompts	1427	1484
DTBench	81.3%	97.1%
LMCA	28.6%	53.8%
ARC-AGI-2	—	77.1%
SimpleBench	—	79.6%
Kagi LLM Benchmark	57.4%	—
NYT Connections (extended)	—	97.4%
ARC-AGI-1	—	98%
Chess Puzzles	—	55%
EnigmaEval	—	36.8%
Thematic Generalization	—	79.4%
EBR-Bench	—	14.3%
Mystery Game Puzzles	—	34%
Epoch Capabilities Index	—	154.92
ForecastBench	—	59

Math Gemini 3.1 Pro Preview leads

DeepSeek-V3.1-Terminus: 35.7 (#138), Gemini 3.1 Pro Preview: 61.8 (#28)

Math benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
LMArena Math	1402	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 Not comparable

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

Knowledge benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
GPQA Diamond	—	94.4%
Humanity's Last Exam	—	46.4%
SimpleQA Verified	—	73.5%
Vectara Hallucination Rate	—	10.4%
LMArena Expert	—	1484

Multimodal Not comparable

DeepSeek-V3.1-Terminus: —, Gemini 3.1 Pro Preview: 38.1 (#60)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1-Terminus	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-Terminus: 52.3 (#87), Gemini 3.1 Pro Preview: 57.1 (#11)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
LMArena Non-English	1407	1475
LMArena Russian	1434	1496
LMArena Chinese	—	1528
LMArena French	—	1488
LMArena German	—	1491
LMArena Japanese	—	1494
LMArena Korean	—	1458
LMArena Spanish	—	1480

Instruction Following Gemini 3.1 Pro Preview leads

DeepSeek-V3.1-Terminus: 74.4 (#96), Gemini 3.1 Pro Preview: 77.1 (#31)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
LMArena Instruction Following	1406	1465

Long Context Gemini 3.1 Pro Preview leads

DeepSeek-V3.1-Terminus: 43.5 (#88), Gemini 3.1 Pro Preview: 47.3 (#17)

Long Context benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
LMArena Longer Query	1426	1482
CL-bench	—	20.8%
CL-bench Life	—	16.9%

Writing & Preference Gemini 3.1 Pro Preview leads

DeepSeek-V3.1-Terminus: 61.3 (#87), Gemini 3.1 Pro Preview: 66.3 (#36)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.1 Pro Preview
LMArena Text	1420	1480
LMArena Creative Writing	1404	1482
LMArena Multi-Turn	1411	1486
EQ-Bench Creative Writing	—	1491
EQ-Bench 4	—	1142

Frequently asked questions

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

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

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.30 per million input tokens and $1 per million output tokens; Gemini 3.1 Pro Preview lists at $2 and $12.

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

Gemini 3.1 Pro Preview scores higher on coding benchmarks: 42.7 versus 41.5 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-Terminus and Gemini 3.1 Pro Preview share?

15 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Gemini 3.1 Pro Preview has 71.