Model comparison

DeepSeek-V3.1-Terminus vs Gemini 3.5 Flash Lite

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 41.5 on the Noometry Index.

Last verified October 10, 2026. 15 shared benchmarks.

DeepSeek-V3.1-Terminus

DeepSeek

43.1

Rank #97 Confirmed

Gemini 3.5 Flash Lite

Google

41.5

Rank #133 Confirmed

Summary

They share 15 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 1 category and Gemini 3.5 Flash Lite in 6 categories; 4 gaps are clear of the uncertainty.
The widest gap is in math, where DeepSeek-V3.1-Terminus leads 38.5 to 25.9.
The biggest single-benchmark swing is LMCA: 28.6% for DeepSeek-V3.1-Terminus and 37.6% for Gemini 3.5 Flash Lite.
DeepSeek-V3.1-Terminus is cheaper at $0.27 / $1 per million input/output tokens, against $0.30 / $2.50 for Gemini 3.5 Flash Lite.
Gemini 3.5 Flash Lite 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 3.5 Flash Lite specifications
	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
Provider	DeepSeek	Google
Noometry Index	43.1	41.5
Released	2025-09-22	2026-07-21
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	147K	66K
Input $ / M tokens	$0.27	$0.30
Output $ / M tokens	$1	$2.50
Results tracked	16	39

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Category by category

Coding Too close to call

DeepSeek-V3.1-Terminus: 42.0 (#113), Gemini 3.5 Flash Lite: 42.4 (#104)

Coding benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
SciCode	40.6%	41.3%
LMArena Coding	1426	1453
ALE-Bench	745.17	765.27
LMArena WebDev	—	1440
WeirdML	—	39%

Agentic & Tool Use Not comparable

DeepSeek-V3.1-Terminus: —, Gemini 3.5 Flash Lite: 25.7 (#107)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
APEX-Agents	—	29.3%
GDP.pdf	—	10%

Reasoning Gemini 3.5 Flash Lite leads

DeepSeek-V3.1-Terminus: 26.4 (#133), Gemini 3.5 Flash Lite: 27.8 (#114)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
CritPt	1.7%	0%
LMArena Hard Prompts	1426	1441
DTBench	81.3%	83.5%
LMCA	28.6%	37.6%
ARC-AGI-2	—	10.3%
Kagi LLM Benchmark	57.4%	—
NYT Connections (extended)	—	60.4%
ARC-AGI-1	—	53.5%
Chess Puzzles	—	22%
Mystery Game Puzzles	—	19%
Epoch Capabilities Index	—	145.13

Math DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 38.5 (#137), Gemini 3.5 Flash Lite: 25.9 (#264)

Math benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
LMArena Math	1402	1433
FrontierMath (Tiers 1-3)	—	26%
FrontierMath Tier 4	—	0%
OTIS Mock AIME 2024-2025	—	71.1%
ProofBench	—	13%

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Gemini 3.5 Flash Lite: 50.1 (#72)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
GPQA Diamond	—	83.3%
LMArena Expert	—	1435

Multimodal Not comparable

DeepSeek-V3.1-Terminus: —, Gemini 3.5 Flash Lite: 41.1 (#40)

Multimodal benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
LMArena Vision	—	1268

Multilingual Gemini 3.5 Flash Lite leads

DeepSeek-V3.1-Terminus: 52.1 (#92), Gemini 3.5 Flash Lite: 53.5 (#63)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
LMArena Non-English	1407	1427
LMArena Russian	1436	1443
LMArena Chinese	—	1469
LMArena French	—	1451
LMArena German	—	1454
LMArena Japanese	—	1427
LMArena Korean	—	1407
LMArena Spanish	—	1442

Instruction Following Too close to call

DeepSeek-V3.1-Terminus: 74.0 (#106), Gemini 3.5 Flash Lite: 74.8 (#85)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
LMArena Instruction Following	1404	1420

Long Context Too close to call

DeepSeek-V3.1-Terminus: 43.4 (#97), Gemini 3.5 Flash Lite: 43.9 (#84)

Long Context benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
LMArena Longer Query	1421	1435

Writing & Preference Gemini 3.5 Flash Lite leads

DeepSeek-V3.1-Terminus: 61.0 (#92), Gemini 3.5 Flash Lite: 64.2 (#57)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Gemini 3.5 Flash Lite
LMArena Text	1419	1435
LMArena Creative Writing	1403	1420
LMArena Multi-Turn	1411	1445
EQ-Bench Creative Writing	—	1559

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Gemini 3.5 Flash Lite?

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 43.1 to 41.5 on the Noometry Index.

Which is cheaper, DeepSeek-V3.1-Terminus or Gemini 3.5 Flash Lite?

DeepSeek-V3.1-Terminus is cheaper. It lists at $0.27 per million input tokens and $1 per million output tokens; Gemini 3.5 Flash Lite lists at $0.30 and $2.50.

Is DeepSeek-V3.1-Terminus or Gemini 3.5 Flash Lite better for coding?

They score almost the same on coding (42.0 vs 42.4); test both on your own repository before choosing.

Which has the bigger context window?

Gemini 3.5 Flash Lite does, with 1.05M tokens against 164K.

How many benchmarks do DeepSeek-V3.1-Terminus and Gemini 3.5 Flash Lite share?

15 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Gemini 3.5 Flash Lite has 39.