Enter opens the highlighted result. Esc closes.

DeepSeek V4 Flash 0423 vs Qwen3.5-Flash

DeepSeek V4 Flash 0423 and Qwen3.5-Flash cost about the same per output token ($0.28 vs $0.26 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Qwen3.5-Flash
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
35
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
0
vs boards won of 35 shared

DeepSeek V4 Flash 0423 or Qwen3.5-Flash: which to pick

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.

Pick DeepSeek V4 Flash 0423 for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or ALE-Bench, where it leads.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved task
Shared results
35
DeepSeek V4 Flash 0423 only
14
Qwen3.5-Flash 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, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
Coding, 29.9 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: DeepSeek V4 Flash 0423 1585 against Qwen3.5-Flash 1229, 59.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Qwen3.5-Flash $0.26 per million output tokens, 1.1x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Qwen3.5-Flash 1M.

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-FlashTies
Coding60
Intelligence10
Reasoning30
Math20
Knowledge40
General190
All shared boards350
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
LMArena WebDev15821244DeepSeek V4 Flash 0423
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
LiveCodeBench (Vals AI)Not measured83.3%Only Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)Not measured64.4%Only Qwen3.5-Flash measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2265.9DeepSeek V4 Flash 0423
LMArena Text: coding14571412DeepSeek V4 Flash 0423
LMArena Text: software and IT14531416DeepSeek V4 Flash 0423
LMArena WebDev: React15851229DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581291DeepSeek V4 Flash 0423
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 Qwen3.5-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
AA Intelligence Index24.4Not measuredOnly DeepSeek V4 Flash 0423 measured
Epoch Capabilities Index146.1143.5DeepSeek V4 Flash 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
GPQA DiamondNot measured82.8%Only Qwen3.5-Flash measured
MMMU Pro (Vals AI)Not measured81.9%Only Qwen3.5-Flash measured
GPQA Diamond (Epoch AI run)Not measured82.3%Only Qwen3.5-Flash measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzlesNot measured20.0%Only Qwen3.5-Flash measured
LMArena Text: hard prompts14441403DeepSeek V4 Flash 0423
LMArena Text: expert14411407DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491409DeepSeek V4 Flash 0423
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
OTIS Mock AIMENot measured84.4%Only Qwen3.5-Flash measured
FrontierMath, tiers 1 to 3Not measured18.2%Only Qwen3.5-Flash measured
LMArena Text: math14261407DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321413DeepSeek V4 Flash 0423
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
MMLU ProNot measured84.1%Only Qwen3.5-Flash measured
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
CaseLaw (Vals AI)Not measured56.0%Only Qwen3.5-Flash measured
CorpFin (Vals AI)Not measured63.6%Only Qwen3.5-Flash measured
TaxEval (Vals AI)Not measured72.2%Only Qwen3.5-Flash measured
MortgageTax (Vals AI)Not measured67.4%Only Qwen3.5-Flash measured
MedCode (Vals AI)Not measured33.0%Only Qwen3.5-Flash measured
SimpleQA VerifiedNot measured20.3%Only Qwen3.5-Flash measured
LMArena Text: science14461415DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481407DeepSeek V4 Flash 0423
LMArena Text: legal and government14391398DeepSeek V4 Flash 0423
LMArena Text: business and finance14251394DeepSeek V4 Flash 0423
Neither model has a result on the other 6 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-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
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-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
SAGE (Vals AI)Not measured42.5%Only Qwen3.5-Flash measured
MedScribe (Vals AI)Not measured70.6%Only Qwen3.5-Flash measured
DTBench86.4%82.9%DeepSeek V4 Flash 0423
LMCA35.9%29.1%DeepSeek V4 Flash 0423
LMArena Text14321397DeepSeek V4 Flash 0423
LMArena Text: instruction following14211374DeepSeek V4 Flash 0423
LMArena Text: creative writing14031343DeepSeek V4 Flash 0423
LMArena Text: English14411404DeepSeek V4 Flash 0423
LMArena Text: non-English14191385DeepSeek V4 Flash 0423
LMArena Text: Chinese14631445DeepSeek V4 Flash 0423
LMArena Text: German14191390DeepSeek V4 Flash 0423
LMArena Text: Japanese13891369DeepSeek V4 Flash 0423
LMArena Text: Korean13831344DeepSeek V4 Flash 0423
LMArena Text: French14391413DeepSeek V4 Flash 0423
LMArena Text: Spanish14361400DeepSeek V4 Flash 0423
LMArena Text: Russian14271380DeepSeek V4 Flash 0423
LMArena Text: Polish14361376DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491393DeepSeek V4 Flash 0423
LMArena Text: longer queries14341392DeepSeek V4 Flash 0423
LMArena Text: writing and language14101369DeepSeek 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-Flash
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-FlashLeader
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-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-Flash 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-Flash
SpecificationDeepSeek V4 Flash 0423Qwen3.5-Flash
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026February 25, 2026
Context window1.05M1M
Input $/Mtok$0.14$0.065
Output $/Mtok$0.28$0.26
Coding indexNot benchmarked41.1
Independent measurements behind it12
Cost per solved taskNot computable$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Qwen3.5-Flash for coding?

Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or ALE-Bench, where it leads.

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

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Qwen3.5-Flash?

DeepSeek V4 Flash 0423, with 1.05M tokens against 1M.

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

35 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-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next