Enter opens the highlighted result. Esc closes.

DeepSeek V4 Flash 0423 vs Qwen3 VL 235B A22B Instruct

DeepSeek V4 Flash 0423 leads Qwen3 VL 235B A22B Instruct on the Artificial Analysis Intelligence Index, 24.4 to 9.9, and DeepSeek V4 Flash 0423 costs 6.8x less per output token ($0.28 vs $1.90 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
24
Qwen3 VL 235B A22B InstructQwen
Coding
No data
Overall
No data
Output $/M
$1.90
5
vs boards won of 29 shared

DeepSeek V4 Flash 0423 or Qwen3 VL 235B A22B Instruct: 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 6.8x cheaper ($0.28 vs $1.90 per million) and a larger context window (1.05M against 262K tokens).

Shared results
29
DeepSeek V4 Flash 0423 only
20
Qwen3 VL 235B A22B Instruct only
20
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 VL 235B A22B Instruct not benchmarked.
Widest category
Intelligence, 14.5 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: DeepSeek V4 Flash 0423 24.4 against Qwen3 VL 235B A22B Instruct 9.9, 14.5 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Qwen3 VL 235B A22B Instruct $1.90 per million output tokens, 6.8x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Qwen3 VL 235B A22B Instruct 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 VL 235B A22B InstructTies
Coding20
Intelligence10
Reasoning21
Math20
Knowledge31
General143
All shared boards245
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for DeepSeek V4 Flash 0423 and Qwen3 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
LiveCodeBench (Artificial Analysis run)Not measured64.6%Only Qwen3 VL 235B A22B Instruct measured
Terminal-Bench Hard (Artificial Analysis run)Not measured11.4%Only Qwen3 VL 235B A22B Instruct measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571438DeepSeek V4 Flash 0423
LMArena Text: software and IT14531442DeepSeek V4 Flash 0423
LMArena WebDev: React1585Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTML1558Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Qwen3 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
AA Intelligence Index24.49.9DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Qwen3 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured54.1%Only Qwen3 VL 235B A22B Instruct measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Qwen3 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
GPQA Diamond (Artificial Analysis run)Not measured77.2%Only Qwen3 VL 235B A22B Instruct measured
Humanity's Last Exam (Artificial Analysis run)Not measured11.9%Only Qwen3 VL 235B A22B Instruct measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441428DeepSeek V4 Flash 0423
LMArena Text: expert14411442Qwen3 VL 235B A22B Instruct
LMArena Text: hard prompts in English14491439DeepSeek V4 Flash 0423
LMArena Vision: diagramsNot measured1255Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: homeworkNot measured1277Only Qwen3 VL 235B A22B Instruct measured
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and Qwen3 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
AA Math IndexNot measured88.3Only Qwen3 VL 235B A22B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured88.3%Only Qwen3 VL 235B A22B Instruct measured
LMArena Text: math14261425DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321419DeepSeek V4 Flash 0423
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Qwen3 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
MMLU Pro (Artificial Analysis run)Not measured83.6%Only Qwen3 VL 235B A22B Instruct measured
LMArena Text: science14461444DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481431DeepSeek V4 Flash 0423
LMArena Text: legal and government14391438DeepSeek V4 Flash 0423
LMArena Text: business and finance14251433Qwen3 VL 235B A22B Instruct
Neither model has a result on the other 13 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 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
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 index143
General benchmarks for DeepSeek V4 Flash 0423 and Qwen3 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
IFBenchNot measured56.5%Only Qwen3 VL 235B A22B Instruct measured
Long context reasoning (AA-LCR)Not measured63.7%Only Qwen3 VL 235B A22B Instruct measured
DTBench86.4%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMCA35.9%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text14321420DeepSeek V4 Flash 0423
LMArena Text: instruction following14211406DeepSeek V4 Flash 0423
LMArena Text: creative writing14031366DeepSeek V4 Flash 0423
LMArena VisionNot measured1247Only Qwen3 VL 235B A22B Instruct measured
LMArena Text: English14411429DeepSeek V4 Flash 0423
LMArena Text: non-English14191405DeepSeek V4 Flash 0423
LMArena Text: Chinese14631463DeepSeek V4 Flash 0423
LMArena Text: German14191424Qwen3 VL 235B A22B Instruct
LMArena Text: Japanese13891385DeepSeek V4 Flash 0423
LMArena Text: Korean13831394Qwen3 VL 235B A22B Instruct
LMArena Text: French14391452Qwen3 VL 235B A22B Instruct
LMArena Text: Spanish14361428DeepSeek V4 Flash 0423
LMArena Text: Russian14271408DeepSeek V4 Flash 0423
LMArena Text: Polish14361419DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491428DeepSeek V4 Flash 0423
LMArena Text: longer queries14341419DeepSeek V4 Flash 0423
LMArena Text: writing and language14101392DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001368DeepSeek V4 Flash 0423
LMArena Vision: EnglishNot measured1256Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: ChineseNot measured1283Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: reading textNot measured1253Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: humorNot measured1209Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: captioningNot measured1281Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: recognizing thingsNot measured1249Only Qwen3 VL 235B A22B Instruct measured
LMArena Vision: creative writingNot measured1220Only Qwen3 VL 235B A22B Instruct measured
Neither model has a result on the other 17 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 VL 235B A22B Instruct
BenchmarkDeepSeek V4 Flash 0423Qwen3 VL 235B A22B InstructLeader
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 VL 235B A22B Instruct$0.0012Fits 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 VL 235B A22B Instruct$0.016Fits 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 VL 235B A22B Instruct$0.061Fits 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 VL 235B A22B Instruct
SpecificationDeepSeek V4 Flash 0423Qwen3 VL 235B A22B Instruct
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026September 23, 2025
Context window1.05M262K
Input $/Mtok$0.14$0.21
Output $/Mtok$0.28$1.90
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Qwen3 VL 235B A22B Instruct 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 6.8x cheaper ($0.28 vs $1.90 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or Qwen3 VL 235B A22B Instruct?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Qwen3 VL 235B A22B Instruct costs $0.21 and $1.90. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Qwen3 VL 235B A22B Instruct?

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

How many benchmarks is the DeepSeek V4 Flash 0423 vs Qwen3 VL 235B A22B Instruct comparison based on?

29 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 VL 235B A22B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next