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DeepSeek V3.1 vs Qwen3.5-35B-A3B

Qwen3.5-35B-A3B leads DeepSeek V3.1 on the Artificial Analysis Intelligence Index, 19.3 to 13.7, at about the same output price ($1.30 vs $1.50 per million). Updated October 22, 2026; 3 benchmarks have a result for both.

Replace DeepSeek V3.1 Replace Qwen3.5-35B-A3B
DeepSeek V3.1DeepSeek
Coding
No data
Overall
No data
Output $/M
$1.50
1
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
2
vs boards won of 3 shared

DeepSeek V3.1 or Qwen3.5-35B-A3B: which to pick

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

Pick DeepSeek V3.1 for work measured by AA Intelligence Index or LMCA, where it leads.

Model ADeepSeek V3.1DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3.5-35B-A3BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
3
DeepSeek V3.1 only
8
Qwen3.5-35B-A3B only
42
Like-for-like categories
2 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 V3.1 not benchmarked, Qwen3.5-35B-A3B not benchmarked.
Widest category
Intelligence, 5.6 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: DeepSeek V3.1 13.7 against Qwen3.5-35B-A3B 19.3, 5.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.1 $1.50 against Qwen3.5-35B-A3B $1.30 per million output tokens, 1.2x apart.
Context window
DeepSeek V3.1 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 V3.1BarsQwen3.5-35B-A3BTies
Intelligence01
General11
All shared boards12
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards, none shared
Coding benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-A3BLeader
LMArena WebDevNot measured1254Only Qwen3.5-35B-A3B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured26.5%Only Qwen3.5-35B-A3B 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 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-A3BLeader
AA Intelligence Index13.719.3Qwen3.5-35B-A3B
Epoch Capabilities IndexNot measured142.5Only Qwen3.5-35B-A3B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-A3BLeader
τ²-Bench TelecomNot measured89.2%Only Qwen3.5-35B-A3B measured
Vending-Bench 2Not measured$463Only Qwen3.5-35B-A3B measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Reasoning benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-A3BLeader
GPQA Diamond (Artificial Analysis run)Not measured84.5%Only Qwen3.5-35B-A3B measured
Humanity's Last Exam (Artificial Analysis run)Not measured21.0%Only Qwen3.5-35B-A3B measured
GPQA Diamond (Epoch AI run)Not measured83.5%Only Qwen3.5-35B-A3B 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
Kagi LLM Benchmark53.2%Not measuredOnly DeepSeek V3.1 measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-A3BLeader
OTIS Mock AIMENot measured70.0%Only Qwen3.5-35B-A3B 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 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-A3BLeader
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 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-A3BLeader
Design Arena: websites1122Not measuredOnly DeepSeek V3.1 measured
Design Arena: UI components1085Not measuredOnly DeepSeek V3.1 measured
Design Arena: game dev1084Not measuredOnly DeepSeek V3.1 measured
Design Arena: data viz1096Not measuredOnly DeepSeek V3.1 measured
Design Arena: 3D1077Not measuredOnly DeepSeek V3.1 measured
Design Arena: all code categories1112Not measuredOnly DeepSeek V3.1 measured
Design Arena: SVG967Not measuredOnly DeepSeek V3.1 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-A3BLeader
IFBenchNot measured72.5%Only Qwen3.5-35B-A3B measured
Long context reasoning (AA-LCR)Not measured72.0%Only Qwen3.5-35B-A3B measured
DTBench82.7%80.0%DeepSeek V3.1
LMCA24.3%29.5%Qwen3.5-35B-A3B
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 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.1 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V3.1Qwen3.5-35B-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 V3.1$0.0013Fits in one request
Qwen3.5-35B-A3B$0.0008Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.1$0.032Fits in one request
Qwen3.5-35B-A3B$0.012Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.1$0.125Exceeds the context window
Qwen3.5-35B-A3B$0.045Fits 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 V3.1 and Qwen3.5-35B-A3B
SpecificationDeepSeek V3.1Qwen3.5-35B-A3B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedAugust 21, 2025February 25, 2026
Context window164K262K
Input $/Mtok$0.55$0.1625
Output $/Mtok$1.50$1.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.1 better than Qwen3.5-35B-A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.1 for work measured by AA Intelligence Index or LMCA, where it leads.

Which is cheaper, DeepSeek V3.1 or Qwen3.5-35B-A3B?

DeepSeek V3.1 costs $0.55 per million input tokens and $1.50 per million output tokens; Qwen3.5-35B-A3B costs $0.1625 and $1.30. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.1 or Qwen3.5-35B-A3B?

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

How many benchmarks is the DeepSeek V3.1 vs Qwen3.5-35B-A3B comparison based on?

3 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.1's coding index rests on 0 independent benchmarks 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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