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DeepSeek V3.2 Exp vs Qwen3 30B A3B

DeepSeek V3.2 Exp leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 16.6 to 7.6, and DeepSeek V3.2 Exp costs 1.2x less per output token ($0.41 vs $0.50 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace Qwen3 30B A3B
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
49
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
0
vs boards won of 49 shared

DeepSeek V3.2 Exp or Qwen3 30B A3B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick DeepSeek V3.2 Exp for output tokens 1.2x cheaper ($0.41 vs $0.50 per million) and a larger context window (164K against 41K tokens).

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
49
DeepSeek V3.2 Exp only
10
Qwen3 30B A3B only
3
Like-for-like categories
8 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 30B A3B not benchmarked.
Widest category
Web design, 27.6 points apart on average over 5 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): DeepSeek V3.2 Exp 72.3% against Qwen3 30B A3B 0.0%, 72.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against Qwen3 30B A3B $0.50 per million output tokens, 1.2x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, Qwen3 30B A3B 41K.

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 30B A3BTies
Coding50
Intelligence20
Agentic work10
Reasoning50
Math40
Knowledge50
Web design50
General220
All shared boards490
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for DeepSeek V3.2 Exp and Qwen3 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
Aider polyglot74.2%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena WebDev1272Not measuredOnly DeepSeek V3.2 Exp measured
LiveCodeBench (Artificial Analysis run)78.9%50.6%DeepSeek V3.2 Exp
Terminal-Bench Hard (Artificial Analysis run)31.1%6.8%DeepSeek V3.2 Exp
WeirdML39.5%29.8%DeepSeek V3.2 Exp
LMArena Text: coding14381337DeepSeek V3.2 Exp
LMArena Text: software and IT14381340DeepSeek V3.2 Exp
LMArena WebDev: HTML1281Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V3.2 Exp and Qwen3 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
AA Intelligence Index16.67.6DeepSeek V3.2 Exp
Epoch Capabilities Index144.9137.3DeepSeek V3.2 Exp
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.2 Exp and Qwen3 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
τ²-Bench Telecom33.9%26.0%DeepSeek V3.2 Exp
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 index50
Reasoning benchmarks for DeepSeek V3.2 Exp and Qwen3 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
GPQA Diamond (Artificial Analysis run)79.7%61.6%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)14.9%6.2%DeepSeek V3.2 Exp
GPQA Diamond (Epoch AI run)Not measured61.7%Only Qwen3 30B A3B measured
LMArena Text: hard prompts14291314DeepSeek V3.2 Exp
LMArena Text: expert14221314DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441329DeepSeek V3.2 Exp
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for DeepSeek V3.2 Exp and Qwen3 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
AA Math Index87.772.3DeepSeek V3.2 Exp
AIME 2025 (Artificial Analysis run)87.7%72.3%DeepSeek V3.2 Exp
OTIS Mock AIMENot measured62.8%Only Qwen3 30B A3B measured
LMArena Text: math14221355DeepSeek V3.2 Exp
LMArena Text: mathematical work14331363DeepSeek V3.2 Exp
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.2 Exp and Qwen3 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
MMLU Pro (Artificial Analysis run)85.0%77.7%DeepSeek V3.2 Exp
LMArena Text: science14431321DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681318DeepSeek V3.2 Exp
LMArena Text: legal and government14191314DeepSeek V3.2 Exp
LMArena Text: business and finance14121309DeepSeek V3.2 Exp
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for DeepSeek V3.2 Exp and Qwen3 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
Design Arena: websites1178954DeepSeek V3.2 Exp
Design Arena: UI components1164943DeepSeek V3.2 Exp
Design Arena: game dev1144898DeepSeek V3.2 Exp
Design Arena: data viz1152967DeepSeek V3.2 Exp
Design Arena: 3D1148Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: all code categories1170941DeepSeek V3.2 Exp
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 index220
General benchmarks for DeepSeek V3.2 Exp and Qwen3 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
IFBench54.1%41.5%DeepSeek V3.2 Exp
Long context reasoning (AA-LCR)72.3%0.0%DeepSeek V3.2 Exp
DTBench87.7%60.3%DeepSeek V3.2 Exp
LMCA29.1%15.8%DeepSeek V3.2 Exp
Fiction.LiveBench83.3%40.6%DeepSeek V3.2 Exp
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
CL-bench13.2%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench Life9.5%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text14251317DeepSeek V3.2 Exp
LMArena Text: instruction following14011283DeepSeek V3.2 Exp
LMArena Text: creative writing14041271DeepSeek V3.2 Exp
LMArena Text: English14411335DeepSeek V3.2 Exp
LMArena Text: non-English14041295DeepSeek V3.2 Exp
LMArena Text: Chinese14611347DeepSeek V3.2 Exp
LMArena Text: German14401307DeepSeek V3.2 Exp
LMArena Text: Japanese13311254DeepSeek V3.2 Exp
LMArena Text: Korean13721261DeepSeek V3.2 Exp
LMArena Text: French14341352DeepSeek V3.2 Exp
LMArena Text: Spanish14411317DeepSeek V3.2 Exp
LMArena Text: Russian14121291DeepSeek V3.2 Exp
LMArena Text: Polish14351299DeepSeek V3.2 Exp
LMArena Text: multi-turn14221307DeepSeek V3.2 Exp
LMArena Text: longer queries14181312DeepSeek V3.2 Exp
LMArena Text: writing and language14071290DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071258DeepSeek V3.2 Exp
Neither model has a result on the other 21 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 30B A3B
BenchmarkDeepSeek V3.2 ExpQwen3 30B A3BLeader
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 30B A3B$0.0004Fits in one request

Qwen3 30B A3B costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2 Exp$0.015Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

Qwen3 30B A3B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2 Exp$0.058Exceeds the context window
Qwen3 30B A3B$0.029Exceeds the context window

Qwen3 30B A3B 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 30B A3B
SpecificationDeepSeek V3.2 ExpQwen3 30B A3B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedSeptember 29, 2025April 28, 2025
Context window164K41K
Input $/Mtok$0.27$0.12
Output $/Mtok$0.41$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than Qwen3 30B A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for output tokens 1.2x cheaper ($0.41 vs $0.50 per million) and a larger context window (164K against 41K tokens).

Which is cheaper, DeepSeek V3.2 Exp or Qwen3 30B A3B?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.2 Exp or Qwen3 30B A3B?

DeepSeek V3.2 Exp, with 164K tokens against 41K.

How many benchmarks is the DeepSeek V3.2 Exp vs Qwen3 30B A3B comparison based on?

49 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 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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