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DeepSeek V4 Flash 0423 vs Qwen3 235B A22B Thinking 2507

DeepSeek V4 Flash 0423 leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 24.4 to 12.7, and DeepSeek V4 Flash 0423 costs 12.5x less per output token ($0.28 vs $3.50 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Qwen3 235B A22B Thinking 2507
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
35
Qwen3 235B A22B Thinking 2507Qwen
Coding
No data
Overall
52.9
Output $/M
$3.50
4
vs boards won of 39 shared

DeepSeek V4 Flash 0423 or Qwen3 235B A22B Thinking 2507: 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 12.5x cheaper ($0.28 vs $3.50 per million) and a larger context window (1.05M against 128K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3 235B A22B Thinking 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
DeepSeek V4 Flash 0423 only
10
Qwen3 235B A22B Thinking 2507 only
7
Like-for-like categories
8 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 235B A22B Thinking 2507 not benchmarked.
Widest category
Agentic work, 25.0 points apart on average over 1 shared benchmark.
Widest single gap
Design Arena: game dev: DeepSeek V4 Flash 0423 1196 against Qwen3 235B A22B Thinking 2507 956, 30.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 12.5x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Qwen3 235B A22B Thinking 2507 128K.

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 235B A22B Thinking 2507Ties
Coding40
Intelligence10
Agentic work10
Reasoning21
Math11
Knowledge31
Web design60
General171
All shared boards354
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Flash 0423 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.022.1DeepSeek V4 Flash 0423
WeirdML45.6%41.0%DeepSeek V4 Flash 0423
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571424DeepSeek V4 Flash 0423
LMArena Text: software and IT14531431DeepSeek 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 31 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
AA Intelligence Index24.412.7DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
AA Agentic Index26.31.3DeepSeek V4 Flash 0423
Vending-Bench 2Not measured-$11Only Qwen3 235B A22B Thinking 2507 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 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
GPQA Diamond (Epoch AI run)Not measured80.1%Only Qwen3 235B A22B Thinking 2507 measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
Mystery game puzzlesNot measured9.0%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: hard prompts14441416DeepSeek V4 Flash 0423
LMArena Text: expert14411463Qwen3 235B A22B Thinking 2507
LMArena Text: hard prompts in English14491432DeepSeek V4 Flash 0423
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for DeepSeek V4 Flash 0423 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
OTIS Mock AIMENot measured86.7%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: math14261412DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321435Qwen3 235B A22B Thinking 2507
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
SimpleQA VerifiedNot measured40.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text: science14461433DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481456Qwen3 235B A22B Thinking 2507
LMArena Text: legal and government14391415DeepSeek V4 Flash 0423
LMArena Text: business and finance14251413DeepSeek V4 Flash 0423
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for DeepSeek V4 Flash 0423 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
Design Arena: websites12071052DeepSeek V4 Flash 0423
Design Arena: UI components1162942DeepSeek V4 Flash 0423
Design Arena: game dev1196956DeepSeek V4 Flash 0423
Design Arena: data viz1127950DeepSeek V4 Flash 0423
Design Arena: 3D1188997DeepSeek V4 Flash 0423
Design Arena: all code categories12051032DeepSeek V4 Flash 0423
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 index171
General benchmarks for DeepSeek V4 Flash 0423 and Qwen3 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
DTBench86.4%80.3%DeepSeek V4 Flash 0423
LMCA35.9%29.3%DeepSeek V4 Flash 0423
Fiction.LiveBenchNot measured75.0%Only Qwen3 235B A22B Thinking 2507 measured
Creative writing (Lech Mazur)Not measured82.4%Only Qwen3 235B A22B Thinking 2507 measured
LMArena Text14321415DeepSeek V4 Flash 0423
LMArena Text: instruction following14211386DeepSeek V4 Flash 0423
LMArena Text: creative writing14031384DeepSeek V4 Flash 0423
LMArena Text: English14411429DeepSeek V4 Flash 0423
LMArena Text: non-English14191397DeepSeek V4 Flash 0423
LMArena Text: Chinese14631481Qwen3 235B A22B Thinking 2507
LMArena Text: German14191408DeepSeek V4 Flash 0423
LMArena Text: Japanese13891386DeepSeek V4 Flash 0423
LMArena Text: Korean13831375DeepSeek V4 Flash 0423
LMArena Text: French1439Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Spanish14361389DeepSeek V4 Flash 0423
LMArena Text: Russian14271401DeepSeek V4 Flash 0423
LMArena Text: Polish14361390DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491406DeepSeek V4 Flash 0423
LMArena Text: longer queries14341400DeepSeek V4 Flash 0423
LMArena Text: writing and language14101388DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001370DeepSeek 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 235B A22B Thinking 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507Leader
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 235B A22B Thinking 2507$0.0022Fits 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 235B A22B Thinking 2507$0.033Fits 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 235B A22B Thinking 2507$0.125Exceeds 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 235B A22B Thinking 2507
SpecificationDeepSeek V4 Flash 0423Qwen3 235B A22B Thinking 2507
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026July 25, 2025
Context window1.05M128K
Input $/Mtok$0.14$0.45
Output $/Mtok$0.28$3.50
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 235B A22B Thinking 2507 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 12.5x cheaper ($0.28 vs $3.50 per million) and a larger context window (1.05M against 128K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or Qwen3 235B A22B Thinking 2507?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Qwen3 235B A22B Thinking 2507?

DeepSeek V4 Flash 0423, with 1.05M tokens against 128K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Qwen3 235B A22B Thinking 2507 comparison based on?

39 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 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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