Model comparison

DeepSeek-V3.2-Exp vs Gemini 3.5 Flash Lite

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 41.5 on the Noometry Index.

Last verified October 12, 2026. 33 shared benchmarks.

DeepSeek-V3.2-Exp

DeepSeek

44.3

Rank #78 Confirmed

Gemini 3.5 Flash Lite

Google

41.5

Rank #133 Confirmed

Summary

They share 33 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 5 categories and Gemini 3.5 Flash Lite in 4 categories; 8 gaps are clear of the uncertainty.
The widest gap is in math, where DeepSeek-V3.2-Exp leads 41.7 to 25.9.
The biggest single-benchmark swing is NYT Connections (extended): 36.7% for DeepSeek-V3.2-Exp and 60.4% for Gemini 3.5 Flash Lite.
DeepSeek-V3.2-Exp is cheaper at $0.26 / $0.38 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-V3.2-Exp has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-Exp and Gemini 3.5 Flash Lite specifications
	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
Provider	DeepSeek	Google
Noometry Index	44.3	41.5
Released	2025-09-29	2026-07-21
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	66K	66K
Input $ / M tokens	$0.26	$0.30
Output $ / M tokens	$0.38	$2.50
Results tracked	49	39

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Category by category

Coding DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 46.5 (#65), Gemini 3.5 Flash Lite: 42.4 (#104)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
LMArena WebDev	1362	1440
SciCode	38.9%	41.3%
WeirdML	39.5%	39%
LMArena Coding	1454	1453
SWE-bench Verified (bash only)	70%	—
Aider Polyglot	74.2%	—
SWE-bench Multilingual	59%	—
ALE-Bench	—	765.27

Agentic & Tool Use DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 32.7 (#59), Gemini 3.5 Flash Lite: 25.7 (#107)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
APEX-Agents	21.3%	29.3%
Terminal-Bench	39.6%	—
Berkeley Function Calling Leaderboard	56.7%	—
TheAgentCompany	42.9%	—
GDP.pdf	—	10%
Vending-Bench 2	1,034	—

Reasoning Gemini 3.5 Flash Lite leads

DeepSeek-V3.2-Exp: 22.1 (#208), Gemini 3.5 Flash Lite: 27.8 (#114)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
ARC-AGI-2	4%	10.3%
NYT Connections (extended)	36.7%	60.4%
ARC-AGI-1	57%	53.5%
CritPt	2.9%	0%
Chess Puzzles	14%	22%
LMArena Hard Prompts	1434	1441
DTBench	87.7%	83.5%
LMCA	29.1%	37.6%
Epoch Capabilities Index	146.27	145.13
Kagi LLM Benchmark	52.2%	—
Thematic Generalization	65%	—
Mystery Game Puzzles	—	19%

Math DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 41.7 (#87), Gemini 3.5 Flash Lite: 25.9 (#264)

Math benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
OTIS Mock AIME 2024-2025	87.8%	71.1%
ProofBench	8%	13%
LMArena Math	1435	1433
FrontierMath (Tiers 1-3)	—	26%
FrontierMath Tier 4	—	0%
MathArena Final-Answer Competitions	57.7%	—
FrontierMath (Feb 2025 set)	22.1%	—
FrontierMath Tier 4 (v1)	2.1%	—

Knowledge DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 51.7 (#66), Gemini 3.5 Flash Lite: 50.1 (#72)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
GPQA Diamond	83.4%	83.3%
LMArena Expert	1436	1435
Vectara Hallucination Rate	5.3%	—

Multimodal Not comparable

DeepSeek-V3.2-Exp: —, Gemini 3.5 Flash Lite: 41.1 (#40)

Multimodal benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
LMArena Vision	—	1268

Multilingual Gemini 3.5 Flash Lite leads

DeepSeek-V3.2-Exp: 52.2 (#90), Gemini 3.5 Flash Lite: 53.5 (#63)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
LMArena Non-English	1409	1427
LMArena Chinese	1461	1469
LMArena French	1433	1451
LMArena German	1440	1454
LMArena Japanese	1374	1427
LMArena Korean	1371	1407
LMArena Russian	1424	1443
LMArena Spanish	1440	1442

Instruction Following Too close to call

DeepSeek-V3.2-Exp: 74.5 (#93), Gemini 3.5 Flash Lite: 74.8 (#85)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
LMArena Instruction Following	1413	1420

Long Context DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 47.6 (#16), Gemini 3.5 Flash Lite: 43.9 (#84)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
LMArena Longer Query	1428	1435
Fiction.LiveBench	83.3%	—
CL-bench	13.2%	—
CL-bench Life	9.5%	—

Writing & Preference Gemini 3.5 Flash Lite leads

DeepSeek-V3.2-Exp: 62.4 (#77), Gemini 3.5 Flash Lite: 64.2 (#57)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Exp	Gemini 3.5 Flash Lite
LMArena Text	1425	1435
LMArena Creative Writing	1403	1420
EQ-Bench Creative Writing	1515	1559
LMArena Multi-Turn	1427	1445

Frequently asked questions

Is DeepSeek-V3.2-Exp better than Gemini 3.5 Flash Lite?

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 41.5 on the Noometry Index.

Which is cheaper, DeepSeek-V3.2-Exp or Gemini 3.5 Flash Lite?

DeepSeek-V3.2-Exp is cheaper. It lists at $0.26 per million input tokens and $0.38 per million output tokens; Gemini 3.5 Flash Lite lists at $0.30 and $2.50.

Is DeepSeek-V3.2-Exp or Gemini 3.5 Flash Lite better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.5 versus 42.4 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do DeepSeek-V3.2-Exp and Gemini 3.5 Flash Lite share?

33 benchmarks have published results for both models. DeepSeek-V3.2-Exp has 49 scored results on Noometry and Gemini 3.5 Flash Lite has 39.