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DeepSeek V3.2 Exp vs Qwen3.5-Flash

Qwen3.5-Flash costs 1.6x less per output token than DeepSeek V3.2 Exp ($0.26 vs $0.41 per million). Updated October 22, 2026; 33 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace Qwen3.5-Flash
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
30
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
3
vs boards won of 33 shared

DeepSeek V3.2 Exp or Qwen3.5-Flash: which to pick

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.2 Exp for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved task
Shared results
33
DeepSeek V3.2 Exp only
26
Qwen3.5-Flash only
22
Like-for-like categories
6 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 Exp not benchmarked, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
General, 5.6 points apart on average over 19 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: DeepSeek V3.2 Exp 1468 against Qwen3.5-Flash 1407, 10.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against Qwen3.5-Flash $0.26 per million output tokens, 1.6x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, Qwen3.5-Flash 1M.

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 V3.2 ExpBarsQwen3.5-FlashTies
Coding31
Intelligence10
Reasoning30
Math20
Knowledge40
General172
All shared boards303
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
Aider polyglot74.2%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena WebDev12721244DeepSeek V3.2 Exp
LiveCodeBench (Vals AI)Not measured83.3%Only Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)Not measured64.4%Only Qwen3.5-Flash measured
LiveCodeBench (Artificial Analysis run)78.9%Not measuredOnly DeepSeek V3.2 Exp measured
Terminal-Bench Hard (Artificial Analysis run)31.1%Not measuredOnly DeepSeek V3.2 Exp measured
WeirdML39.5%Not measuredOnly DeepSeek V3.2 Exp measured
ALE-BenchNot measured265.9Only Qwen3.5-Flash measured
LMArena Text: coding14381412DeepSeek V3.2 Exp
LMArena Text: software and IT14381416DeepSeek V3.2 Exp
LMArena WebDev: ReactNot measured1229Only Qwen3.5-Flash measured
LMArena WebDev: HTML12811291Qwen3.5-Flash
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
AA Intelligence Index16.6Not measuredOnly DeepSeek V3.2 Exp measured
Epoch Capabilities Index144.9143.5DeepSeek V3.2 Exp
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
τ²-Bench Telecom33.9%Not measuredOnly DeepSeek V3.2 Exp measured
TheAgentCompany42.9%Not measuredOnly DeepSeek V3.2 Exp measured
Berkeley Function Calling Leaderboard (BFCL)56.7%Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
GPQA DiamondNot measured82.8%Only Qwen3.5-Flash measured
MMMU Pro (Vals AI)Not measured81.9%Only Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)79.7%Not measuredOnly DeepSeek V3.2 Exp measured
Humanity's Last Exam (Artificial Analysis run)14.9%Not measuredOnly DeepSeek V3.2 Exp measured
GPQA Diamond (Epoch AI run)Not measured82.3%Only Qwen3.5-Flash measured
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzlesNot measured20.0%Only Qwen3.5-Flash measured
LMArena Text: hard prompts14291403DeepSeek V3.2 Exp
LMArena Text: expert14221407DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441409DeepSeek V3.2 Exp
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
AA Math Index87.7Not measuredOnly DeepSeek V3.2 Exp measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly DeepSeek V3.2 Exp measured
OTIS Mock AIMENot measured84.4%Only Qwen3.5-Flash measured
FrontierMath, tiers 1 to 3Not measured18.2%Only Qwen3.5-Flash measured
LMArena Text: math14221407DeepSeek V3.2 Exp
LMArena Text: mathematical work14331413DeepSeek V3.2 Exp
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
MMLU ProNot measured84.1%Only Qwen3.5-Flash measured
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
CaseLaw (Vals AI)Not measured56.0%Only Qwen3.5-Flash measured
CorpFin (Vals AI)Not measured63.6%Only Qwen3.5-Flash measured
TaxEval (Vals AI)Not measured72.2%Only Qwen3.5-Flash measured
MortgageTax (Vals AI)Not measured67.4%Only Qwen3.5-Flash measured
MedCode (Vals AI)Not measured33.0%Only Qwen3.5-Flash measured
MMLU Pro (Artificial Analysis run)85.0%Not measuredOnly DeepSeek V3.2 Exp measured
SimpleQA VerifiedNot measured20.3%Only Qwen3.5-Flash measured
LMArena Text: science14431415DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681407DeepSeek V3.2 Exp
LMArena Text: legal and government14191398DeepSeek V3.2 Exp
LMArena Text: business and finance14121394DeepSeek V3.2 Exp
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
Design Arena: websites1178Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: UI components1164Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: game dev1144Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: data viz1152Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: 3D1148Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: all code categories1170Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: SVG1031Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index172
General benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
SAGE (Vals AI)Not measured42.5%Only Qwen3.5-Flash measured
MedScribe (Vals AI)Not measured70.6%Only Qwen3.5-Flash measured
IFBench54.1%Not measuredOnly DeepSeek V3.2 Exp measured
Long context reasoning (AA-LCR)72.3%Not measuredOnly DeepSeek V3.2 Exp measured
DTBench87.7%82.9%DeepSeek V3.2 Exp
LMCA29.1%29.1%Qwen3.5-Flash
Fiction.LiveBench83.3%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench13.2%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench Life9.5%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text14251397DeepSeek V3.2 Exp
LMArena Text: instruction following14011374DeepSeek V3.2 Exp
LMArena Text: creative writing14041343DeepSeek V3.2 Exp
LMArena Text: English14411404DeepSeek V3.2 Exp
LMArena Text: non-English14041385DeepSeek V3.2 Exp
LMArena Text: Chinese14611445DeepSeek V3.2 Exp
LMArena Text: German14401390DeepSeek V3.2 Exp
LMArena Text: Japanese13311369Qwen3.5-Flash
LMArena Text: Korean13721344DeepSeek V3.2 Exp
LMArena Text: French14341413DeepSeek V3.2 Exp
LMArena Text: Spanish14411400DeepSeek V3.2 Exp
LMArena Text: Russian14121380DeepSeek V3.2 Exp
LMArena Text: Polish14351376DeepSeek V3.2 Exp
LMArena Text: multi-turn14221393DeepSeek V3.2 Exp
LMArena Text: longer queries14181392DeepSeek V3.2 Exp
LMArena Text: writing and language14071369DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071347DeepSeek V3.2 Exp
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 Exp and Qwen3.5-Flash
BenchmarkDeepSeek V3.2 ExpQwen3.5-FlashLeader
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 Exp$0.0005Fits in one request
Qwen3.5-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2 Exp$0.015Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2 Exp$0.058Exceeds the context window
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-Flash 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 Exp and Qwen3.5-Flash
SpecificationDeepSeek V3.2 ExpQwen3.5-Flash
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedSeptember 29, 2025February 25, 2026
Context window164K1M
Input $/Mtok$0.27$0.065
Output $/Mtok$0.41$0.26
Coding indexNot benchmarked41.1
Independent measurements behind it12
Cost per solved taskNot computable$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than Qwen3.5-Flash for coding?

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for work measured by LMArena WebDev or LMArena Text: coding, where it leads.

Which is cheaper, DeepSeek V3.2 Exp or Qwen3.5-Flash?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, DeepSeek V3.2 Exp or Qwen3.5-Flash?

Qwen3.5-Flash, with 1M tokens against 164K.

How many benchmarks is the DeepSeek V3.2 Exp vs Qwen3.5-Flash comparison based on?

33 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2 Exp's coding index rests on 1 independent benchmark and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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