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DeepSeek V4 Flash 0423 vs Qwen3.5-35B-A3B

DeepSeek V4 Flash 0423 leads Qwen3.5-35B-A3B on the Artificial Analysis Intelligence Index, 24.4 to 19.3, and DeepSeek V4 Flash 0423 costs 4.6x less per output token ($0.28 vs $1.30 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Qwen3.5-35B-A3B
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
36
Qwen3.5-35B-A3BQwen
Coding
No data
Overall
53.5
Output $/M
$1.30
0
vs boards won of 36 shared

DeepSeek V4 Flash 0423 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 V4 Flash 0423 for output tokens 4.6x cheaper ($0.28 vs $1.30 per million) and a larger context window (1.05M against 262K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.5-35B-A3BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
36
DeepSeek V4 Flash 0423 only
13
Qwen3.5-35B-A3B only
9
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 V4 Flash 0423 not benchmarked, Qwen3.5-35B-A3B not benchmarked.
Widest category
Coding, 29.5 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: DeepSeek V4 Flash 0423 1585 against Qwen3.5-35B-A3B 1238, 57.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Qwen3.5-35B-A3B $1.30 per million output tokens, 4.6x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M 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 V4 Flash 0423BarsQwen3.5-35B-A3BTies
Coding60
Intelligence20
Reasoning30
Math20
Knowledge40
General190
All shared boards360
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-A3BLeader
LMArena WebDev15821254DeepSeek V4 Flash 0423
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured26.5%Only Qwen3.5-35B-A3B measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2221.8DeepSeek V4 Flash 0423
LMArena Text: coding14571410DeepSeek V4 Flash 0423
LMArena Text: software and IT14531415DeepSeek V4 Flash 0423
LMArena WebDev: React15851238DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581301DeepSeek V4 Flash 0423
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-A3BLeader
AA Intelligence Index24.419.3DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1142.5DeepSeek V4 Flash 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-A3BLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
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 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-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
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441400DeepSeek V4 Flash 0423
LMArena Text: expert14411408DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491411DeepSeek V4 Flash 0423
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-A3BLeader
OTIS Mock AIMENot measured70.0%Only Qwen3.5-35B-A3B measured
LMArena Text: math14261404DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321410DeepSeek V4 Flash 0423
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-A3BLeader
LMArena Text: science14461413DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481421DeepSeek V4 Flash 0423
LMArena Text: legal and government14391399DeepSeek V4 Flash 0423
LMArena Text: business and finance14251394DeepSeek V4 Flash 0423
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-A3BLeader
Design Arena: websites1207Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: UI components1162Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: game dev1196Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: data viz1127Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: 3D1188Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: all code categories1205Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: SVG1155Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: ASCII art1109Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-A3BLeader
IFBenchNot measured72.5%Only Qwen3.5-35B-A3B measured
Long context reasoning (AA-LCR)Not measured72.0%Only Qwen3.5-35B-A3B measured
DTBench86.4%80.0%DeepSeek V4 Flash 0423
LMCA35.9%29.5%DeepSeek V4 Flash 0423
LMArena Text14321395DeepSeek V4 Flash 0423
LMArena Text: instruction following14211379DeepSeek V4 Flash 0423
LMArena Text: creative writing14031347DeepSeek V4 Flash 0423
LMArena Text: English14411407DeepSeek V4 Flash 0423
LMArena Text: non-English14191378DeepSeek V4 Flash 0423
LMArena Text: Chinese14631457DeepSeek V4 Flash 0423
LMArena Text: German14191367DeepSeek V4 Flash 0423
LMArena Text: Japanese13891326DeepSeek V4 Flash 0423
LMArena Text: Korean13831355DeepSeek V4 Flash 0423
LMArena Text: French14391412DeepSeek V4 Flash 0423
LMArena Text: Spanish14361390DeepSeek V4 Flash 0423
LMArena Text: Russian14271376DeepSeek V4 Flash 0423
LMArena Text: Polish14361385DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491390DeepSeek V4 Flash 0423
LMArena Text: longer queries14341389DeepSeek V4 Flash 0423
LMArena Text: writing and language14101365DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001347DeepSeek V4 Flash 0423
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 V4 Flash 0423 and Qwen3.5-35B-A3B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-35B-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 V4 Flash 0423$0.0003Fits in one request
Qwen3.5-35B-A3B$0.0008Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Qwen3.5-35B-A3B$0.012Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Qwen3.5-35B-A3B$0.045Fits in one request

DeepSeek V4 Flash 0423 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 V4 Flash 0423 and Qwen3.5-35B-A3B
SpecificationDeepSeek V4 Flash 0423Qwen3.5-35B-A3B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$0.14$0.1625
Output $/Mtok$0.28$1.30
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 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 V4 Flash 0423 for output tokens 4.6x cheaper ($0.28 vs $1.30 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or Qwen3.5-35B-A3B?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 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 V4 Flash 0423 or Qwen3.5-35B-A3B?

DeepSeek V4 Flash 0423, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Qwen3.5-35B-A3B comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0423'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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