Model comparison

DeepSeek-V3 vs Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is the stronger model overall, scoring 41.5 to 39.5 on the Noometry Index. DeepSeek-V3 costs 2.1× less per token, which makes it the better buy when Gemini 3.5 Flash Lite's lead doesn't matter for your workload.

Last verified October 11, 2026. 26 shared benchmarks.

DeepSeek-V3

DeepSeek

39.5

Rank #166 Confirmed

Gemini 3.5 Flash Lite

Google

41.5

Rank #133 Confirmed

Summary

They share 26 benchmarks with published results for both. DeepSeek-V3 scores higher in 1 category and Gemini 3.5 Flash Lite in 7 categories; 7 gaps are clear of the uncertainty.
The widest gap is in knowledge, where Gemini 3.5 Flash Lite leads 50.1 to 37.5.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for DeepSeek-V3 and 71.1% for Gemini 3.5 Flash Lite.
DeepSeek-V3 is cheaper at $0.24 / $0.90 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 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3 and Gemini 3.5 Flash Lite specifications
	DeepSeek-V3	Gemini 3.5 Flash Lite
Provider	DeepSeek	Google
Noometry Index	39.5	41.5
Released	2024-12-26	2026-07-21
Weights	Open	Proprietary
Context window	164K	1.05M
Max output	164K	66K
Input $ / M tokens	$0.24	$0.30
Output $ / M tokens	$0.90	$2.50
Results tracked	60	39

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Category by category

Coding Too close to call

DeepSeek-V3: 42.3 (#106), Gemini 3.5 Flash Lite: 42.4 (#104)

Coding benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
SciCode	35.8%	41.3%
WeirdML	36.1%	39%
LMArena Coding	1368	1453
Aider Polyglot	55.1%	—
LMArena WebDev	—	1440
BigCodeBench Instruct	50%	—
LiveBench Coding	70.9%	—
BigCodeBench Complete	62.2%	—
ALE-Bench	—	765.27
HumanEval+	86.6%	—
MBPP+	73%	—

Agentic & Tool Use Not comparable

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

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
APEX-Agents	—	29.3%
GDP.pdf	—	10%
METR Time Horizons	49.6%	—

Reasoning Gemini 3.5 Flash Lite leads

DeepSeek-V3: 20.5 (#236), Gemini 3.5 Flash Lite: 27.8 (#114)

Reasoning benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
CritPt	0%	0%
LMArena Hard Prompts	1365	1441
DTBench	64.8%	83.5%
LMCA	15.5%	37.6%
Epoch Capabilities Index	135.94	145.13
ARC-AGI-2	—	10.3%
SimpleBench	27.2%	—
Kagi LLM Benchmark	52.3%	—
NYT Connections (extended)	—	60.4%
ARC-AGI-1	—	53.5%
Chess Puzzles	—	22%
LiveBench Reasoning	65.8%	—
Mystery Game Puzzles	—	19%
LiveBench Data Analysis	60.9%	—
BIG-Bench Hard	87.5%	—
ForecastBench	59.1	—
HellaSwag	88.9%	—
LiveBench	66.9%	—
PIQA	84.7%	—
WinoGrande	85.2%	—

Math DeepSeek-V3 leads

DeepSeek-V3: 32.1 (#219), Gemini 3.5 Flash Lite: 25.9 (#264)

Math benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
OTIS Mock AIME 2024-2025	37.8%	71.1%
LMArena Math	1373	1433
FrontierMath (Tiers 1-3)	—	26%
FrontierMath Tier 4	—	0%
ProofBench	—	13%
Omni-MATH	40.3%	—
LiveBench Math	73.5%	—
MATH Level 5	75.5%	—
FrontierMath (Feb 2025 set)	1.7%	—

Knowledge Gemini 3.5 Flash Lite leads

DeepSeek-V3: 37.5 (#155), Gemini 3.5 Flash Lite: 50.1 (#72)

Knowledge benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
GPQA Diamond	67.6%	83.3%
LMArena Expert	1351	1435
MMLU-Pro	72.3%	—
Confabulations	26.1%	—
Vectara Hallucination Rate	6.1%	—
GPQA (HELM)	53.8%	—
ARC (AI2) Challenge	95.3%	—
MMLU	87.2%	—
TriviaQA	82.9%	—

Multimodal Not comparable

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

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

Multilingual Gemini 3.5 Flash Lite leads

DeepSeek-V3: 48.5 (#143), Gemini 3.5 Flash Lite: 53.5 (#63)

Multilingual benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
LMArena Non-English	1358	1427
LMArena Chinese	1391	1469
LMArena French	1385	1451
LMArena German	1374	1454
LMArena Japanese	1333	1427
LMArena Korean	1319	1407
LMArena Russian	1373	1443
LMArena Spanish	1358	1442

Instruction Following Gemini 3.5 Flash Lite leads

DeepSeek-V3: 72.8 (#130), Gemini 3.5 Flash Lite: 74.8 (#85)

Instruction Following benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
LMArena Instruction Following	1345	1420
LiveBench Instruction Following	81.5%	—
IFEval	83.2%	—

Long Context Gemini 3.5 Flash Lite leads

DeepSeek-V3: 34.0 (#253), Gemini 3.5 Flash Lite: 43.9 (#84)

Long Context benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
LMArena Longer Query	1352	1435
Fiction.LiveBench	50%	—

Writing & Preference Gemini 3.5 Flash Lite leads

DeepSeek-V3: 57.4 (#130), Gemini 3.5 Flash Lite: 64.2 (#57)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3	Gemini 3.5 Flash Lite
LMArena Text	1375	1435
LMArena Creative Writing	1364	1420
EQ-Bench Creative Writing	1472	1559
LMArena Multi-Turn	1389	1445
Short-Story Creative Writing	77%	—
WildBench	83%	—
LiveBench Language	49.1%	—

Frequently asked questions

Is DeepSeek-V3 better than Gemini 3.5 Flash Lite?

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

DeepSeek-V3 is cheaper. It lists at $0.24 per million input tokens and $0.90 per million output tokens; Gemini 3.5 Flash Lite lists at $0.30 and $2.50.

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

They score almost the same on coding (42.3 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 and Gemini 3.5 Flash Lite share?

26 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Gemini 3.5 Flash Lite has 39.