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DeepSeek V3 0324 vs Qwen3.5-35B-A3B

Updated October 21, 2026. 11 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V3 0324 Replace Qwen3.5-35B-A3B
DeepSeek V3 0324DeepSeek
Coding
42.0
Overall
9.7
Output $/M
$1.14
0
Qwen3.5-35B-A3BQwen
Coding
7.7
Overall
19.3
Output $/M
$1.00
11
vs boards won of 11 shared

Decision reading

Pick DeepSeek V3 0324 for coding: it scores 42.0 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B.

Pick Qwen3.5-35B-A3B when output tokens cost 1.1x less, or when the context window is larger, 262K against 164K tokens.

Model ADeepSeek V3 0324DeepSeek42.0/1001 independent benchmarkNo cost per solved taskModel BQwen3.5-35B-A3BQwen7.7/1001 independent benchmarkNo cost per solved task
Shared results
11
DeepSeek V3 0324 only
24
Qwen3.5-35B-A3B only
34
Like-for-like categories
6 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 0324 42.0 from 1 benchmark, Qwen3.5-35B-A3B 7.7 from 1 benchmark.
Widest category
Agentic work, 42.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3 0324 47.1% against Qwen3.5-35B-A3B 89.2%, 42.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V3 0324 $1.14 against Qwen3.5-35B-A3B $1.00 per million output tokens, 1.1x apart.
Context window
DeepSeek V3 0324 takes 164K tokens, Qwen3.5-35B-A3B 262K.

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 0324BarsQwen3.5-35B-A3BTies
Coding01
Intelligence01
Agentic work01
Reasoning03
Math01
General04
All shared boards011
CodingLike-for-likeFour of these boards feed the Vibe Coding Index01
Coding benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-A3BLeader
SWE-bench Verified42.0%Not measuredOnly DeepSeek V3 0324 measured
LMArena WebDevNot measured1254Only Qwen3.5-35B-A3B measured
AA Coding Index21.2Not measuredOnly DeepSeek V3 0324 measured
LiveCodeBench (Vals AI)65.5%Not measuredOnly DeepSeek V3 0324 measured
LiveCodeBench (Artificial Analysis run)40.5%Not measuredOnly DeepSeek V3 0324 measured
SciCode39.0%Not measuredOnly DeepSeek V3 0324 measured
Terminal-Bench Hard (Artificial Analysis run)15.2%26.5%Qwen3.5-35B-A3B
WeirdML36.1%Not measuredOnly DeepSeek V3 0324 measured
ALE-BenchNot measured221.8Only Qwen3.5-35B-A3B measured
LMArena Text: codingNot measured1410Only Qwen3.5-35B-A3B measured
LMArena Text: software and ITNot measured1415Only Qwen3.5-35B-A3B measured
LMArena WebDev: ReactNot measured1238Only Qwen3.5-35B-A3B measured
LMArena WebDev: HTMLNot measured1301Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-A3BLeader
AA Intelligence Index9.719.3Qwen3.5-35B-A3B
Epoch Capabilities IndexNot measured142.5Only Qwen3.5-35B-A3B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-A3BLeader
AA Agentic Index0.8Not measuredOnly DeepSeek V3 0324 measured
τ²-Bench Telecom47.1%89.2%Qwen3.5-35B-A3B
METR time horizons49.6%Not measuredOnly DeepSeek V3 0324 measured
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-A3BLeader
GPQA Diamond61.6%Not measuredOnly DeepSeek V3 0324 measured
GPQA Diamond (Artificial Analysis run)65.5%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)4.7%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)67.6%83.5%Qwen3.5-35B-A3B
SimpleBench27.2%Not measuredOnly DeepSeek V3 0324 measured
LMArena Text: hard promptsNot measured1400Only Qwen3.5-35B-A3B measured
LMArena Text: expertNot measured1408Only Qwen3.5-35B-A3B measured
LMArena Text: hard prompts in EnglishNot measured1411Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-A3BLeader
AIME52.2%Not measuredOnly DeepSeek V3 0324 measured
MATH 500 (Vals AI)88.6%Not measuredOnly DeepSeek V3 0324 measured
MGSM (Vals AI)91.7%Not measuredOnly DeepSeek V3 0324 measured
AA Math Index41.0Not measuredOnly DeepSeek V3 0324 measured
AIME 2025 (Artificial Analysis run)41.0%Not measuredOnly DeepSeek V3 0324 measured
OTIS Mock AIME37.8%70.0%Qwen3.5-35B-A3B
MATH level 575.5%Not measuredOnly DeepSeek V3 0324 measured
LMArena Text: mathNot measured1404Only Qwen3.5-35B-A3B measured
LMArena Text: mathematical workNot measured1410Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 4 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-A3BLeader
MMLU Pro79.5%Not measuredOnly DeepSeek V3 0324 measured
LegalBench (Vals AI)77.7%Not measuredOnly DeepSeek V3 0324 measured
CorpFin (Vals AI)54.7%Not measuredOnly DeepSeek V3 0324 measured
TaxEval (Vals AI)71.1%Not measuredOnly DeepSeek V3 0324 measured
MedQA (Vals AI)82.0%Not measuredOnly DeepSeek V3 0324 measured
MMLU Pro (Artificial Analysis run)81.9%Not measuredOnly DeepSeek V3 0324 measured
LMArena Text: scienceNot measured1413Only Qwen3.5-35B-A3B measured
LMArena Text: medicine and healthcareNot measured1421Only Qwen3.5-35B-A3B measured
LMArena Text: legal and governmentNot measured1399Only Qwen3.5-35B-A3B measured
LMArena Text: business and financeNot measured1394Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-A3BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index04
General benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-A3BLeader
IFBench41.0%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)40.7%72.0%Qwen3.5-35B-A3B
DTBench64.8%80.0%Qwen3.5-35B-A3B
LMCA15.5%29.5%Qwen3.5-35B-A3B
Fiction.LiveBench50.0%Not measuredOnly DeepSeek V3 0324 measured
Creative writing (Lech Mazur)77.0%Not measuredOnly DeepSeek V3 0324 measured
LMArena TextNot measured1395Only Qwen3.5-35B-A3B measured
LMArena Text: instruction followingNot measured1379Only Qwen3.5-35B-A3B measured
LMArena Text: creative writingNot measured1347Only Qwen3.5-35B-A3B measured
LMArena Text: EnglishNot measured1407Only Qwen3.5-35B-A3B measured
LMArena Text: non-EnglishNot measured1378Only Qwen3.5-35B-A3B measured
LMArena Text: ChineseNot measured1457Only Qwen3.5-35B-A3B measured
LMArena Text: GermanNot measured1367Only Qwen3.5-35B-A3B measured
LMArena Text: JapaneseNot measured1326Only Qwen3.5-35B-A3B measured
LMArena Text: KoreanNot measured1355Only Qwen3.5-35B-A3B measured
LMArena Text: FrenchNot measured1412Only Qwen3.5-35B-A3B measured
LMArena Text: SpanishNot measured1390Only Qwen3.5-35B-A3B measured
LMArena Text: RussianNot measured1376Only Qwen3.5-35B-A3B measured
LMArena Text: PolishNot measured1385Only Qwen3.5-35B-A3B measured
LMArena Text: multi-turnNot measured1390Only Qwen3.5-35B-A3B measured
LMArena Text: longer queriesNot measured1389Only Qwen3.5-35B-A3B measured
LMArena Text: writing and languageNot measured1365Only Qwen3.5-35B-A3B measured
LMArena Text: entertainment and mediaNot measured1347Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3 0324 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3 0324Qwen3.5-35B-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 0324$0.0009Fits in one request
Qwen3.5-35B-A3B$0.0006Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

DeepSeek V3 0324$0.018Fits in one request
Qwen3.5-35B-A3B$0.010Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3 0324$0.069Exceeds the context window
Qwen3.5-35B-A3B$0.038Fits in one request

Qwen3.5-35B-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 0324 and Qwen3.5-35B-A3B
SpecificationDeepSeek V3 0324Qwen3.5-35B-A3B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedMarch 24, 2025February 25, 2026
Context window164K262K
Input $/Mtok$0.29$0.14
Output $/Mtok$1.14$1.00
Coding index42.07.7
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3 0324 better than Qwen3.5-35B-A3B for coding?

Pick DeepSeek V3 0324 for coding: it scores 42.0 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B. Pick Qwen3.5-35B-A3B when output tokens cost 1.1x less, or when the context window is larger, 262K against 164K tokens.

Which is cheaper, DeepSeek V3 0324 or Qwen3.5-35B-A3B?

DeepSeek V3 0324 costs $0.29 per million input tokens and $1.14 per million output tokens; Qwen3.5-35B-A3B costs $0.14 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3 0324 or Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B, with 262K tokens against 164K.

How many benchmarks is the DeepSeek V3 0324 vs Qwen3.5-35B-A3B comparison based on?

11 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3 0324's coding index rests on 1 independent benchmark and Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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