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DeepSeek V4 Flash 0423 vs Qwen3 32B

DeepSeek V4 Flash 0423 leads Qwen3 32B on the Artificial Analysis Intelligence Index, 24.4 to 7.3, and DeepSeek V4 Flash 0423 costs 1.4x less per output token ($0.28 vs $0.40 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Qwen3 32B
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
28
Qwen3 32BQwen
Coding
No data
Overall
40.8
Output $/M
$0.40
0
vs boards won of 28 shared

DeepSeek V4 Flash 0423 or Qwen3 32B: 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 1.4x cheaper ($0.28 vs $0.40 per million) and a larger context window (1.05M against 131K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3 32BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
28
DeepSeek V4 Flash 0423 only
21
Qwen3 32B only
17
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 32B not benchmarked.
Widest category
General, 17.6 points apart on average over 14 shared benchmarks.
Widest single gap
LMArena Text: entertainment and media: DeepSeek V4 Flash 0423 1400 against Qwen3 32B 1279, 20.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Qwen3 32B $0.40 per million output tokens, 1.4x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Qwen3 32B 131K.

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 32BTies
Coding20
Intelligence20
Reasoning40
Math20
Knowledge40
General140
All shared boards280
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for DeepSeek V4 Flash 0423 and Qwen3 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
Aider polyglotNot measured40.0%Only Qwen3 32B measured
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
LiveCodeBench (Artificial Analysis run)Not measured54.6%Only Qwen3 32B measured
SciCodeNot measured36.0%Only Qwen3 32B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.0%Only Qwen3 32B measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571357DeepSeek V4 Flash 0423
LMArena Text: software and IT14531366DeepSeek 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 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Qwen3 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
AA Intelligence Index24.47.3DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1138.4DeepSeek V4 Flash 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Qwen3 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured29.8%Only Qwen3 32B measured
Berkeley Function Calling Leaderboard (BFCL)Not measured48.7%Only Qwen3 32B measured
BrowseComp-PlusNot measured10.7%Only Qwen3 32B measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Qwen3 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
GPQA Diamond (Artificial Analysis run)Not measured66.8%Only Qwen3 32B measured
Humanity's Last Exam (Artificial Analysis run)Not measured7.4%Only Qwen3 32B measured
GPQA Diamond (Epoch AI run)Not measured65.7%Only Qwen3 32B measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441334DeepSeek V4 Flash 0423
LMArena Text: expert14411362DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491350DeepSeek V4 Flash 0423
Kagi LLM Benchmark52.2%48.7%DeepSeek V4 Flash 0423
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 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
AA Math IndexNot measured73.0Only Qwen3 32B measured
AIME 2025 (Artificial Analysis run)Not measured73.0%Only Qwen3 32B measured
OTIS Mock AIMENot measured66.9%Only Qwen3 32B measured
LMArena Text: math14261399DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321420DeepSeek 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 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
MMLU Pro (Artificial Analysis run)Not measured79.8%Only Qwen3 32B measured
LMArena Text: science14461372DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481368DeepSeek V4 Flash 0423
LMArena Text: legal and government14391324DeepSeek V4 Flash 0423
LMArena Text: business and finance14251318DeepSeek V4 Flash 0423
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 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
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 index140
General benchmarks for DeepSeek V4 Flash 0423 and Qwen3 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
IFBenchNot measured36.3%Only Qwen3 32B measured
Long context reasoning (AA-LCR)Not measured0.0%Only Qwen3 32B measured
DTBench86.4%67.5%DeepSeek V4 Flash 0423
LMCA35.9%17.3%DeepSeek V4 Flash 0423
Fiction.LiveBenchNot measured74.2%Only Qwen3 32B measured
LMArena Text14321340DeepSeek V4 Flash 0423
LMArena Text: instruction following14211305DeepSeek V4 Flash 0423
LMArena Text: creative writing14031297DeepSeek V4 Flash 0423
LMArena Text: English14411359DeepSeek V4 Flash 0423
LMArena Text: non-English14191317DeepSeek V4 Flash 0423
LMArena Text: Chinese14631357DeepSeek V4 Flash 0423
LMArena Text: German14191341DeepSeek V4 Flash 0423
LMArena Text: Japanese1389Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Korean1383Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: French1439Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Spanish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Russian14271311DeepSeek V4 Flash 0423
LMArena Text: Polish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn14491331DeepSeek V4 Flash 0423
LMArena Text: longer queries14341327DeepSeek V4 Flash 0423
LMArena Text: writing and language14101298DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001279DeepSeek V4 Flash 0423
Neither model has a result on the other 24 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 32B
BenchmarkDeepSeek V4 Flash 0423Qwen3 32BLeader
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 32B$0.0003Fits 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 32B$0.0082Fits 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 32B$0.032Exceeds the context window

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 32B
SpecificationDeepSeek V4 Flash 0423Qwen3 32B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026April 28, 2025
Context window1.05M131K
Input $/Mtok$0.14$0.14
Output $/Mtok$0.28$0.40
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 32B 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 1.4x cheaper ($0.28 vs $0.40 per million) and a larger context window (1.05M against 131K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or Qwen3 32B?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Qwen3 32B costs $0.14 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Qwen3 32B?

DeepSeek V4 Flash 0423, with 1.05M tokens against 131K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Qwen3 32B comparison based on?

28 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 32B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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