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DeepSeek V3.2 vs Gemini 3.5 Flash Lite

Updated October 21, 2026. 49 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V3.2 Replace Gemini 3.5 Flash Lite
DeepSeek V3.2DeepSeek
Coding
54.4
Overall
21.5
Output $/M
$0.42
13
Gemini 3.5 Flash LiteGoogle
Coding
33.6
Overall
22.2
Output $/M
$2.50
36
vs boards won of 49 shared

Decision reading

Pick DeepSeek V3.2 for coding: it scores 54.4 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite.

Pick Gemini 3.5 Flash Lite when a solved task costs $0.41 against $0.99, or when the context window is larger, 1.05M against 164K tokens.

Model ADeepSeek V3.2DeepSeek54.4/1002 independent benchmarks$0.99 per solved taskModel BGemini 3.5 Flash LiteGoogle33.6/1001 independent benchmark$0.41 per solved task
Shared results
49
DeepSeek V3.2 only
26
Gemini 3.5 Flash Lite only
34
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
DeepSeek V3.2 54.4 from 2 benchmarks, Gemini 3.5 Flash Lite 33.6 from 1 benchmark.
Widest category
Coding, 8.3 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V3.2 5.1% against Gemini 3.5 Flash Lite 37.2%, 32.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.42 against Gemini 3.5 Flash Lite $2.50 per million output tokens, 6.0x apart.
Context window
DeepSeek V3.2 takes 164K tokens, Gemini 3.5 Flash Lite 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryDeepSeek V3.2BarsGemini 3.5 Flash LiteTies
Coding26
Intelligence11
Agentic work01
Reasoning53
Math20
Knowledge17
General218
All shared boards1336
CodingLike-for-likeFour of these boards feed the Vibe Coding Index26
Coding benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev13621435Gemini 3.5 Flash Lite
AA Coding Index44.249.3Gemini 3.5 Flash Lite
LiveCodeBench (Vals AI)80.7%79.0%DeepSeek V3.2
SWE-bench Verified (Vals AI)67.6%75.0%Gemini 3.5 Flash Lite
Vibe Code Bench (Vals AI)5.1%37.2%Gemini 3.5 Flash Lite
Code migration (Vals AI)Not measured6.2%Only Gemini 3.5 Flash Lite measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.5 Flash Lite measured
Terminal-Bench 2.1 (Vals AI)Not measured50.2%Only Gemini 3.5 Flash Lite measured
CyberBench (Vals AI)Not measured59.1%Only Gemini 3.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SciCodeNot measured41.3%Only Gemini 3.5 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)35.6%Not measuredOnly DeepSeek V3.2 measured
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
WeirdMLNot measured39.0%Only Gemini 3.5 Flash Lite measured
ALE-BenchNot measured765.3Only Gemini 3.5 Flash Lite measured
LMArena Text: coding14531453DeepSeek V3.2
LMArena Text: software and IT14491451Gemini 3.5 Flash Lite
LMArena WebDev: React13501408Gemini 3.5 Flash Lite
LMArena WebDev: HTML1371Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev: from an imageNot measured1448Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
AA Intelligence Index21.522.2Gemini 3.5 Flash Lite
Epoch Capabilities Index146.1144.9DeepSeek V3.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
AA Agentic IndexNot measured14.3Only Gemini 3.5 Flash Lite measured
Finance Agent (Vals AI)Not measured47.4%Only Gemini 3.5 Flash Lite measured
Tax Agent Bench (Vals AI)Not measured7.2%Only Gemini 3.5 Flash Lite measured
Legal Research Bench (Vals AI)Not measured13.9%Only Gemini 3.5 Flash Lite measured
Excel Modeling Benchmark (Vals AI)Not measured43.2%Only Gemini 3.5 Flash Lite measured
τ²-Bench Telecom90.6%Not measuredOnly DeepSeek V3.2 measured
APEX-Agents21.3%29.3%Gemini 3.5 Flash Lite
Vending-Bench 2$1,034Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index53
Reasoning benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
GPQA Diamond80.3%83.8%Gemini 3.5 Flash Lite
MMMU Pro (Vals AI)Not measured83.6%Only Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)84.0%83.8%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)24.6%18.8%DeepSeek V3.2
GPQA Diamond (Epoch AI run)Not measured83.3%Only Gemini 3.5 Flash Lite measured
ARC-AGI57.0%53.5%DeepSeek V3.2
ARC-AGI-24.0%10.3%Gemini 3.5 Flash Lite
Chess puzzlesNot measured21.0%Only Gemini 3.5 Flash Lite measured
Mystery game puzzlesNot measured19.0%Only Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts14341441Gemini 3.5 Flash Lite
LMArena Text: expert14361434DeepSeek V3.2
LMArena Text: hard prompts in English14461440DeepSeek V3.2
LMArena Vision: diagramsNot measured1284Only Gemini 3.5 Flash Lite measured
LMArena Vision: homeworkNot measured1291Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.0Not measuredOnly DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)92.0%Not measuredOnly DeepSeek V3.2 measured
OTIS Mock AIMENot measured71.1%Only Gemini 3.5 Flash Lite measured
FrontierMath, tiers 1 to 3Not measured26.0%Only Gemini 3.5 Flash Lite measured
FrontierMath, tier 4Not measured0.0%Only Gemini 3.5 Flash Lite measured
ProofBenchNot measured13.0%Only Gemini 3.5 Flash Lite measured
LMArena Text: math14351434DeepSeek V3.2
LMArena Text: mathematical work14401433DeepSeek V3.2
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index17
Knowledge benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
MMLU Pro84.9%85.8%Gemini 3.5 Flash Lite
LegalBench (Vals AI)76.1%84.1%Gemini 3.5 Flash Lite
CaseLaw (Vals AI)55.4%Not measuredOnly DeepSeek V3.2 measured
CorpFin (Vals AI)51.0%60.7%Gemini 3.5 Flash Lite
TaxEval (Vals AI)68.2%72.6%Gemini 3.5 Flash Lite
MortgageTax (Vals AI)Not measured68.7%Only Gemini 3.5 Flash Lite measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MedCode (Vals AI)Not measured43.5%Only Gemini 3.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: science14461451Gemini 3.5 Flash Lite
LMArena Text: medicine and healthcare14401438DeepSeek V3.2
LMArena Text: legal and government14251431Gemini 3.5 Flash Lite
LMArena Text: business and finance14101423Gemini 3.5 Flash Lite
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
Design Arena: websites1175Not measuredOnly DeepSeek V3.2 measured
Design Arena: UI components1149Not measuredOnly DeepSeek V3.2 measured
Design Arena: game dev1132Not measuredOnly DeepSeek V3.2 measured
Design Arena: data viz1158Not measuredOnly DeepSeek V3.2 measured
Design Arena: 3D1133Not measuredOnly DeepSeek V3.2 measured
Design Arena: all code categories1164Not measuredOnly DeepSeek V3.2 measured
Design Arena: SVG1032Not measuredOnly DeepSeek V3.2 measured
Design Arena: ASCII art1082Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index218
General benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
Public Benefits Bench (Vals AI)Not measured51.8%Only Gemini 3.5 Flash Lite measured
SAGE (Vals AI)Not measured47.3%Only Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)Not measured70.9%Only Gemini 3.5 Flash Lite measured
IFBench60.7%Not measuredOnly DeepSeek V3.2 measured
Long context reasoning (AA-LCR)73.3%76.0%Gemini 3.5 Flash Lite
DTBench85.6%83.5%DeepSeek V3.2
LMCA28.8%37.6%Gemini 3.5 Flash Lite
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251435Gemini 3.5 Flash Lite
LMArena Text: instruction following14131419Gemini 3.5 Flash Lite
LMArena Text: creative writing14001421Gemini 3.5 Flash Lite
LMArena VisionNot measured1269Only Gemini 3.5 Flash Lite measured
LMArena Text: English14391438DeepSeek V3.2
LMArena Text: non-English14091427Gemini 3.5 Flash Lite
LMArena Text: Chinese14551468Gemini 3.5 Flash Lite
LMArena Text: German14131454Gemini 3.5 Flash Lite
LMArena Text: Japanese13741426Gemini 3.5 Flash Lite
LMArena Text: Korean13701407Gemini 3.5 Flash Lite
LMArena Text: French14291451Gemini 3.5 Flash Lite
LMArena Text: Spanish14241441Gemini 3.5 Flash Lite
LMArena Text: Russian14241443Gemini 3.5 Flash Lite
LMArena Text: Polish14191437Gemini 3.5 Flash Lite
LMArena Text: multi-turn14271445Gemini 3.5 Flash Lite
LMArena Text: longer queries14281435Gemini 3.5 Flash Lite
LMArena Text: writing and language14071428Gemini 3.5 Flash Lite
LMArena Text: entertainment and media13951414Gemini 3.5 Flash Lite
LMArena Vision: EnglishNot measured1269Only Gemini 3.5 Flash Lite measured
LMArena Vision: ChineseNot measured1311Only Gemini 3.5 Flash Lite measured
LMArena Vision: reading textNot measured1280Only Gemini 3.5 Flash Lite measured
LMArena Vision: humorNot measured1287Only Gemini 3.5 Flash Lite measured
LMArena Vision: creative writingNot measured1260Only Gemini 3.5 Flash Lite measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 and Gemini 3.5 Flash Lite
BenchmarkDeepSeek V3.2Gemini 3.5 Flash LiteLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V3.2$0.0005Fits in one request
Gemini 3.5 Flash Lite$0.0015Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.015Fits in one request
Gemini 3.5 Flash Lite$0.022Fits in one request

DeepSeek V3.2 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2$0.060Exceeds the context window
Gemini 3.5 Flash Lite$0.085Fits in one request

DeepSeek V3.2 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V3.2 and Gemini 3.5 Flash Lite
SpecificationDeepSeek V3.2Google Gemini 3.5 Flash Lite
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedDecember 1, 2025July 21, 2026
Context window164K1.05M
Input $/Mtok$0.28$0.30
Output $/Mtok$0.42$2.50
Coding index54.433.6
Independent measurements behind it21
Cost per solved task$0.99$0.41
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 better than Gemini 3.5 Flash Lite for coding?

Pick DeepSeek V3.2 for coding: it scores 54.4 on the Vibe Coding Index against 33.6 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite when a solved task costs $0.41 against $0.99, or when the context window is larger, 1.05M against 164K tokens.

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

DeepSeek V3.2 costs $0.28 per million input tokens and $0.42 per million output tokens; Gemini 3.5 Flash Lite costs $0.30 and $2.50. Per solved SWE-bench Verified task, DeepSeek V3.2 costs $0.99 and Gemini 3.5 Flash Lite $0.41.

Which has the bigger context window, DeepSeek V3.2 or Gemini 3.5 Flash Lite?

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

How many benchmarks is the DeepSeek V3.2 vs Gemini 3.5 Flash Lite comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2's coding index rests on 2 independent benchmarks and Gemini 3.5 Flash Lite's on 1. Where only one model has a result, the page says so instead of naming a winner.

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