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DeepSeek V3.2 vs Qwen3 30B A3B

DeepSeek V3.2 leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 21.5 to 7.6, and Qwen3 30B A3B costs 1.8x less per output token ($0.50 vs $0.88 per million). Updated October 21, 2026; 47 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace Qwen3 30B A3B
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
47
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
0
vs boards won of 47 shared

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

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding.

Pick Qwen3 30B A3B for output tokens 1.8x cheaper ($0.50 vs $0.88 per million).

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
47
DeepSeek V3.2 only
28
Qwen3 30B A3B only
5
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 30.0 from 3 benchmarks, Qwen3 30B A3B not benchmarked.
Widest category
Agentic work, 64.6 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): DeepSeek V3.2 73.3% against Qwen3 30B A3B 0.0%, 73.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against Qwen3 30B A3B $0.50 per million output tokens, 1.8x apart.
Context window
DeepSeek V3.2 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 V3.2BarsQwen3 30B A3BTies
Coding40
Intelligence20
Agentic work10
Reasoning50
Math40
Knowledge50
Web design50
General210
All shared boards470
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V3.2 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 30B A3BLeader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev1362Not measuredOnly DeepSeek V3.2 measured
AA Coding Index44.2Not measuredOnly DeepSeek V3.2 measured
LiveCodeBench (Vals AI)80.7%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Verified (Vals AI)67.6%Not measuredOnly DeepSeek V3.2 measured
Vibe Code Bench (Vals AI)5.1%Not measuredOnly DeepSeek V3.2 measured
LiveCodeBench (Artificial Analysis run)86.2%50.6%DeepSeek V3.2
Terminal-Bench Hard (Artificial Analysis run)35.6%6.8%DeepSeek V3.2
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
WeirdMLNot measured29.8%Only Qwen3 30B A3B measured
LMArena Text: coding14531337DeepSeek V3.2
LMArena Text: software and IT14491340DeepSeek V3.2
LMArena WebDev: React1350Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev: HTML1371Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V3.2 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 30B A3BLeader
AA Intelligence Index21.57.6DeepSeek V3.2
Epoch Capabilities Index146.1137.3DeepSeek V3.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.2 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 30B A3BLeader
τ²-Bench Telecom90.6%26.0%DeepSeek V3.2
APEX-Agents21.3%Not measuredOnly DeepSeek V3.2 measured
Vending-Bench 2$1,034Not measuredOnly DeepSeek V3.2 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 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 30B A3BLeader
GPQA Diamond80.3%Not measuredOnly DeepSeek V3.2 measured
GPQA Diamond (Artificial Analysis run)84.0%61.6%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)24.6%6.2%DeepSeek V3.2
GPQA Diamond (Epoch AI run)Not measured61.7%Only Qwen3 30B A3B measured
ARC-AGI57.0%Not measuredOnly DeepSeek V3.2 measured
ARC-AGI-24.0%Not measuredOnly DeepSeek V3.2 measured
LMArena Text: hard prompts14341314DeepSeek V3.2
LMArena Text: expert14361314DeepSeek V3.2
LMArena Text: hard prompts in English14461329DeepSeek V3.2
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for DeepSeek V3.2 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 30B A3BLeader
AIME84.6%Not measuredOnly DeepSeek V3.2 measured
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.072.3DeepSeek V3.2
AIME 2025 (Artificial Analysis run)92.0%72.3%DeepSeek V3.2
OTIS Mock AIMENot measured62.8%Only Qwen3 30B A3B measured
LMArena Text: math14351355DeepSeek V3.2
LMArena Text: mathematical work14401363DeepSeek V3.2
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.2 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 30B A3BLeader
MMLU Pro84.9%Not measuredOnly DeepSeek V3.2 measured
LegalBench (Vals AI)76.1%Not measuredOnly DeepSeek V3.2 measured
CaseLaw (Vals AI)55.4%Not measuredOnly DeepSeek V3.2 measured
CorpFin (Vals AI)51.0%Not measuredOnly DeepSeek V3.2 measured
TaxEval (Vals AI)68.2%Not measuredOnly DeepSeek V3.2 measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MMLU Pro (Artificial Analysis run)86.2%77.7%DeepSeek V3.2
LMArena Text: science14461321DeepSeek V3.2
LMArena Text: medicine and healthcare14401318DeepSeek V3.2
LMArena Text: legal and government14251314DeepSeek V3.2
LMArena Text: business and finance14101309DeepSeek V3.2
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for DeepSeek V3.2 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 30B A3BLeader
Design Arena: websites1175955DeepSeek V3.2
Design Arena: UI components1149946DeepSeek V3.2
Design Arena: game dev1132899DeepSeek V3.2
Design Arena: data viz1158967DeepSeek V3.2
Design Arena: 3D1133Not measuredOnly DeepSeek V3.2 measured
Design Arena: all code categories1164942DeepSeek V3.2
Design Arena: SVG1032Not measuredOnly DeepSeek V3.2 measured
Design Arena: ASCII art1083Not 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 index210
General benchmarks for DeepSeek V3.2 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 30B A3BLeader
IFBench60.7%41.5%DeepSeek V3.2
Long context reasoning (AA-LCR)73.3%0.0%DeepSeek V3.2
DTBench85.6%60.3%DeepSeek V3.2
LMCA28.8%15.8%DeepSeek V3.2
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251317DeepSeek V3.2
LMArena Text: instruction following14131283DeepSeek V3.2
LMArena Text: creative writing14001271DeepSeek V3.2
LMArena Text: English14391335DeepSeek V3.2
LMArena Text: non-English14091295DeepSeek V3.2
LMArena Text: Chinese14551347DeepSeek V3.2
LMArena Text: German14131307DeepSeek V3.2
LMArena Text: Japanese13741254DeepSeek V3.2
LMArena Text: Korean13701261DeepSeek V3.2
LMArena Text: French14291352DeepSeek V3.2
LMArena Text: Spanish14241317DeepSeek V3.2
LMArena Text: Russian14241291DeepSeek V3.2
LMArena Text: Polish14191299DeepSeek V3.2
LMArena Text: multi-turn14271307DeepSeek V3.2
LMArena Text: longer queries14281312DeepSeek V3.2
LMArena Text: writing and language14071290DeepSeek V3.2
LMArena Text: entertainment and media13951258DeepSeek V3.2
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 and Qwen3 30B A3B
BenchmarkDeepSeek V3.2Qwen3 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$0.0007Fits 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$0.017Fits 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$0.067Exceeds 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 and Qwen3 30B A3B
SpecificationDeepSeek V3.2Qwen3 30B A3B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedDecember 1, 2025April 28, 2025
Context window164K41K
Input $/Mtok$0.29$0.12
Output $/Mtok$0.88$0.50
Coding index30.0Not benchmarked
Independent measurements behind it30
Cost per solved task$0.99Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Only DeepSeek V3.2 has a coding score, 30.0 on the Vibe Coding Index; Qwen3 30B A3B has none, so the two cannot be ranked on coding. Pick Qwen3 30B A3B for output tokens 1.8x cheaper ($0.50 vs $0.88 per million).

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

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for DeepSeek V3.2 only.

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

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

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

47 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks 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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