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DeepSeek V4 Flash 0423 vs Qwen3 30B A3B Instruct 2507

DeepSeek V4 Flash 0423 leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 24.4 to 7.5, at about the same output price ($0.28 vs $0.30 per million). Updated October 22, 2026; 31 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Qwen3 30B A3B Instruct 2507
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
31
Qwen3 30B A3B Instruct 2507Qwen
Coding
No data
Overall
41.5
Output $/M
$0.30
0
vs boards won of 31 shared

DeepSeek V4 Flash 0423 or Qwen3 30B A3B Instruct 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 1.1x cheaper ($0.28 vs $0.30 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 30B A3B Instruct 2507QwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
31
DeepSeek V4 Flash 0423 only
18
Qwen3 30B A3B Instruct 2507 only
14
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 30B A3B Instruct 2507 not benchmarked.
Widest category
Intelligence, 16.9 points apart on average over 1 shared benchmark.
Widest single gap
DTBench: DeepSeek V4 Flash 0423 86.4% against Qwen3 30B A3B Instruct 2507 67.2%, 19.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Qwen3 30B A3B Instruct 2507 $0.30 per million output tokens, 1.1x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507Ties
Coding20
Intelligence10
Reasoning30
Math20
Knowledge40
General190
All shared boards310
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for DeepSeek V4 Flash 0423 and Qwen3 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507Leader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
LiveCodeBench (Artificial Analysis run)Not measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
SciCodeNot measured33.0%Only Qwen3 30B A3B Instruct 2507 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured6.1%Only Qwen3 30B A3B Instruct 2507 measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571416DeepSeek V4 Flash 0423
LMArena Text: software and IT14531417DeepSeek 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 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Qwen3 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507Leader
AA Intelligence Index24.47.5DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
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 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507Leader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured28.1%Only Qwen3 30B A3B Instruct 2507 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured41.4%Only Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507Leader
GPQA Diamond (Artificial Analysis run)Not measured70.7%Only Qwen3 30B A3B Instruct 2507 measured
Humanity's Last Exam (Artificial Analysis run)Not measured10.3%Only Qwen3 30B A3B Instruct 2507 measured
GPQA Diamond (Epoch AI run)Not measured55.6%Only Qwen3 30B A3B Instruct 2507 measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441398DeepSeek V4 Flash 0423
LMArena Text: expert14411397DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491406DeepSeek 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 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507Leader
AA Math IndexNot measured66.3Only Qwen3 30B A3B Instruct 2507 measured
AIME 2025 (Artificial Analysis run)Not measured66.3%Only Qwen3 30B A3B Instruct 2507 measured
OTIS Mock AIMENot measured62.2%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: math14261394DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321411DeepSeek 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 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507Leader
MMLU Pro (Artificial Analysis run)Not measured80.5%Only Qwen3 30B A3B Instruct 2507 measured
LMArena Text: science14461393DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481392DeepSeek V4 Flash 0423
LMArena Text: legal and government14391387DeepSeek V4 Flash 0423
LMArena Text: business and finance14251389DeepSeek 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 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507Leader
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 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507Leader
IFBenchNot measured50.7%Only Qwen3 30B A3B Instruct 2507 measured
Long context reasoning (AA-LCR)Not measured61.3%Only Qwen3 30B A3B Instruct 2507 measured
DTBench86.4%67.2%DeepSeek V4 Flash 0423
LMCA35.9%22.4%DeepSeek V4 Flash 0423
LMArena Text14321384DeepSeek V4 Flash 0423
LMArena Text: instruction following14211363DeepSeek V4 Flash 0423
LMArena Text: creative writing14031317DeepSeek V4 Flash 0423
LMArena Text: English14411391DeepSeek V4 Flash 0423
LMArena Text: non-English14191372DeepSeek V4 Flash 0423
LMArena Text: Chinese14631432DeepSeek V4 Flash 0423
LMArena Text: German14191379DeepSeek V4 Flash 0423
LMArena Text: Japanese13891337DeepSeek V4 Flash 0423
LMArena Text: Korean13831330DeepSeek V4 Flash 0423
LMArena Text: French14391419DeepSeek V4 Flash 0423
LMArena Text: Spanish14361404DeepSeek V4 Flash 0423
LMArena Text: Russian14271369DeepSeek V4 Flash 0423
LMArena Text: Polish14361353DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491378DeepSeek V4 Flash 0423
LMArena Text: longer queries14341378DeepSeek V4 Flash 0423
LMArena Text: writing and language14101336DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001334DeepSeek 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 30B A3B Instruct 2507
BenchmarkDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 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 30B A3B Instruct 2507$0.0002Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Qwen3 30B A3B Instruct 2507$0.0054Fits in one request

Qwen3 30B A3B Instruct 2507 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Qwen3 30B A3B Instruct 2507$0.021Fits in one request

Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507
SpecificationDeepSeek V4 Flash 0423Qwen3 30B A3B Instruct 2507
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026July 29, 2025
Context window1.05M262K
Input $/Mtok$0.14$0.09
Output $/Mtok$0.28$0.30
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 30B A3B Instruct 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 1.1x cheaper ($0.28 vs $0.30 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or Qwen3 30B A3B Instruct 2507?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Qwen3 30B A3B Instruct 2507 costs $0.09 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Qwen3 30B A3B Instruct 2507?

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

How many benchmarks is the DeepSeek V4 Flash 0423 vs Qwen3 30B A3B Instruct 2507 comparison based on?

31 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 30B A3B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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