Model comparison

DeepSeek-V3.1-Terminus vs Gemini 3 Flash Preview

Gemini 3 Flash Preview is the stronger model overall, scoring 52.3 to 43.1 on the Noometry Index. DeepSeek-V3.1-Terminus costs 2.5× 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 10, 2026. 13 shared benchmarks.

DeepSeek-V3.1-Terminus

DeepSeek

43.1

Rank #97 Confirmed

Gemini 3 Flash Preview

Google

52.3

Rank #40 Confirmed

Summary

They share 13 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 0 categories and Gemini 3 Flash Preview in 7 categories; 7 gaps are clear of the uncertainty.
The widest gap is in reasoning, where Gemini 3 Flash Preview leads 49.2 to 26.4.
The biggest single-benchmark swing is LMCA: 28.6% for DeepSeek-V3.1-Terminus and 43.1% for Gemini 3 Flash Preview.
DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 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-Terminus has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.1-Terminus and Gemini 3 Flash Preview specifications
	DeepSeek-V3.1-Terminus	Gemini 3 Flash Preview
Provider	DeepSeek	Google
Noometry Index	43.1	52.3
Released	2025-09-22	2025-12-17
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	147K	66K
Input $ / M tokens	$0.27	$0.50
Output $ / M tokens	$1	$3
Results tracked	16	59

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Category by category

Coding Gemini 3 Flash Preview leads

DeepSeek-V3.1-Terminus: 42.0 (#113), Gemini 3 Flash Preview: 50.9 (#42)

Coding benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3 Flash Preview
LMArena Coding	1426	1460
ALE-Bench	745.17	1,367
SWE-bench Verified	—	75.4%
SWE-bench Verified (bash only)	—	75.8%
LMArena WebDev	—	1439
SWE-bench Multilingual	—	72.7%
SciCode	40.6%	—
GSO	—	9.8%
WeirdML	—	61.6%

Agentic & Tool Use Not comparable

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

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1-Terminus	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-Terminus: 26.4 (#133), Gemini 3 Flash Preview: 49.2 (#37)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3 Flash Preview
LMArena Hard Prompts	1426	1465
DTBench	81.3%	89.1%
LMCA	28.6%	43.1%
ARC-AGI-2	—	33.6%
SimpleBench	—	61.1%
Kagi LLM Benchmark	57.4%	—
NYT Connections (extended)	—	83.1%
ARC-AGI-1	—	84.7%
CritPt	1.7%	—
Chess Puzzles	—	40%
Mystery Game Puzzles	—	26%
Epoch Capabilities Index	—	151.8
ForecastBench	—	58.5

Math Gemini 3 Flash Preview leads

DeepSeek-V3.1-Terminus: 38.5 (#137), Gemini 3 Flash Preview: 51.7 (#55)

Math benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3 Flash Preview
LMArena Math	1402	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 Not comparable

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

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

Multimodal Not comparable

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

Multimodal benchmarks
Benchmark	DeepSeek-V3.1-Terminus	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-Terminus: 52.1 (#92), Gemini 3 Flash Preview: 55.7 (#27)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3 Flash Preview
LMArena Non-English	1407	1458
LMArena Russian	1436	1480
LMArena Chinese	—	1511
LMArena French	—	1477
LMArena German	—	1497
LMArena Japanese	—	1489
LMArena Korean	—	1443
LMArena Spanish	—	1469

Instruction Following Gemini 3 Flash Preview leads

DeepSeek-V3.1-Terminus: 74.0 (#106), Gemini 3 Flash Preview: 75.7 (#56)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3 Flash Preview
LMArena Instruction Following	1404	1437

Long Context Gemini 3 Flash Preview leads

DeepSeek-V3.1-Terminus: 43.4 (#97), Gemini 3 Flash Preview: 44.4 (#67)

Long Context benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3 Flash Preview
LMArena Longer Query	1421	1452

Writing & Preference Gemini 3 Flash Preview leads

DeepSeek-V3.1-Terminus: 61.0 (#92), Gemini 3 Flash Preview: 65.5 (#45)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3 Flash Preview
LMArena Text	1419	1466
LMArena Creative Writing	1403	1457
LMArena Multi-Turn	1411	1471

Frequently asked questions

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

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

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Gemini 3 Flash Preview lists at $0.50 and $3.

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

Gemini 3 Flash Preview scores higher on coding benchmarks: 50.9 versus 42.0 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-Terminus and Gemini 3 Flash Preview share?

13 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Gemini 3 Flash Preview has 59.