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DeepSeek V4 Flash 0423 vs GPT-5 Mini

DeepSeek V4 Flash 0423 leads GPT-5 Mini on the Artificial Analysis Intelligence Index, 24.4 to 20.6, and DeepSeek V4 Flash 0423 costs 7.1x less per output token ($0.28 vs $2.00 per million). Updated October 21, 2026; 42 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace GPT-5 Mini
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
38
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
4
vs boards won of 42 shared

DeepSeek V4 Flash 0423 or GPT-5 Mini: which to pick

Only GPT-5 Mini has a coding score, 34.2 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 output tokens 7.1x cheaper ($0.28 vs $2.00 per million) and a larger context window (1.05M against 400K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved task
Shared results
42
DeepSeek V4 Flash 0423 only
7
GPT-5 Mini only
59
Like-for-like categories
7 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, GPT-5 Mini 34.2 from 2 benchmarks.
Widest category
Reasoning, 12.5 points apart on average over 4 shared benchmarks.
Widest single gap
Design Arena: 3D: DeepSeek V4 Flash 0423 1189 against GPT-5 Mini 1037, 19.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against GPT-5 Mini $2.00 per million output tokens, 7.1x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, GPT-5 Mini 400K.

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 0423BarsGPT-5 MiniTies
Coding21
Intelligence20
Reasoning31
Math20
Knowledge40
Web design62
General190
All shared boards384
CodingLike-for-likeSix of these boards feed the Vibe Coding Index21
Coding benchmarks for DeepSeek V4 Flash 0423 and GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
SWE-bench VerifiedNot measured59.8%Only GPT-5 Mini measured
SWE-bench MultilingualNot measured39.7%Only GPT-5 Mini measured
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
LiveCodeBench (Vals AI)Not measured86.6%Only GPT-5 Mini measured
SWE-bench Verified (Vals AI)Not measured60.8%Only GPT-5 Mini measured
Vibe Code Bench (Vals AI)Not measured14.2%Only GPT-5 Mini measured
LiveCodeBench (Artificial Analysis run)Not measured83.8%Only GPT-5 Mini measured
SciCodeNot measured39.0%Only GPT-5 Mini measured
Terminal-Bench Hard (Artificial Analysis run)Not measured33.3%Only GPT-5 Mini measured
Terminal-BenchNot measured34.8%Only GPT-5 Mini measured
WeirdML45.6%52.7%GPT-5 Mini
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571406DeepSeek V4 Flash 0423
LMArena Text: software and IT14531394DeepSeek 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 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
AA Intelligence Index24.420.6DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1145.3DeepSeek 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 GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured71.1%Only GPT-5 Mini measured
Vending-Bench 2Not measured-$31Only GPT-5 Mini measured
Berkeley Function Calling Leaderboard (BFCL)Not measured55.5%Only GPT-5 Mini measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for DeepSeek V4 Flash 0423 and GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
GPQA DiamondNot measured80.3%Only GPT-5 Mini measured
MMMU Pro (Vals AI)Not measured78.9%Only GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)Not measured82.8%Only GPT-5 Mini measured
Humanity's Last Exam (Artificial Analysis run)Not measured21.5%Only GPT-5 Mini measured
GPQA Diamond (Epoch AI run)Not measured75.0%Only GPT-5 Mini measured
ARC-AGINot measured54.3%Only GPT-5 Mini measured
ARC-AGI-2Not measured4.4%Only GPT-5 Mini measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
Chess puzzlesNot measured24.0%Only GPT-5 Mini measured
Mystery game puzzlesNot measured10.0%Only GPT-5 Mini measured
VPCTNot measured40.2%Only GPT-5 Mini measured
LMArena Text: hard prompts14441380DeepSeek V4 Flash 0423
LMArena Text: expert14411379DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491383DeepSeek V4 Flash 0423
LMArena Vision: diagramsNot measured1202Only GPT-5 Mini measured
LMArena Vision: homeworkNot measured1210Only GPT-5 Mini measured
Kagi LLM Benchmark52.2%70.3%GPT-5 Mini
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
AIMENot measured91.5%Only GPT-5 Mini measured
MATH 500 (Vals AI)Not measured94.8%Only GPT-5 Mini measured
MGSM (Vals AI)Not measured92.6%Only GPT-5 Mini measured
AA Math IndexNot measured90.7Only GPT-5 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only GPT-5 Mini measured
OTIS Mock AIMENot measured86.7%Only GPT-5 Mini measured
FrontierMath, tiers 1 to 3Not measured46.7%Only GPT-5 Mini measured
FrontierMath, tier 4Not measured12.2%Only GPT-5 Mini measured
ProofBenchNot measured9.0%Only GPT-5 Mini measured
MATH level 5Not measured97.8%Only GPT-5 Mini measured
LMArena Text: math14261378DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321380DeepSeek V4 Flash 0423
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
MMLU ProNot measured82.2%Only GPT-5 Mini measured
LegalBench (Vals AI)Not measured81.8%Only GPT-5 Mini measured
CaseLaw (Vals AI)Not measured68.5%Only GPT-5 Mini measured
CorpFin (Vals AI)Not measured60.2%Only GPT-5 Mini measured
TaxEval (Vals AI)Not measured75.2%Only GPT-5 Mini measured
MortgageTax (Vals AI)Not measured66.9%Only GPT-5 Mini measured
MedQA (Vals AI)Not measured96.1%Only GPT-5 Mini measured
MedCode (Vals AI)Not measured43.0%Only GPT-5 Mini measured
MMLU Pro (Artificial Analysis run)Not measured83.7%Only GPT-5 Mini measured
SimpleQA VerifiedNot measured21.6%Only GPT-5 Mini measured
LMArena Text: science14461371DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481380DeepSeek V4 Flash 0423
LMArena Text: legal and government14391375DeepSeek V4 Flash 0423
LMArena Text: business and finance14251358DeepSeek V4 Flash 0423
FACTS Benchmark SuiteNot measured38.6%Only GPT-5 Mini measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index62
Web design benchmarks for DeepSeek V4 Flash 0423 and GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
Design Arena: websites12081125DeepSeek V4 Flash 0423
Design Arena: UI components11651106DeepSeek V4 Flash 0423
Design Arena: game dev11971130DeepSeek V4 Flash 0423
Design Arena: data viz11271130GPT-5 Mini
Design Arena: 3D11891037DeepSeek V4 Flash 0423
Design Arena: all code categories12051115DeepSeek V4 Flash 0423
Design Arena: SVG11551091DeepSeek V4 Flash 0423
Design Arena: ASCII art11091125GPT-5 Mini
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 GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
SAGE (Vals AI)Not measured43.0%Only GPT-5 Mini measured
MedScribe (Vals AI)Not measured80.6%Only GPT-5 Mini measured
IFBenchNot measured75.4%Only GPT-5 Mini measured
Long context reasoning (AA-LCR)Not measured72.3%Only GPT-5 Mini measured
DTBench86.4%80.5%DeepSeek V4 Flash 0423
LMCA35.9%34.2%DeepSeek V4 Flash 0423
Fiction.LiveBenchNot measured69.4%Only GPT-5 Mini measured
Creative writing (Lech Mazur)Not measured83.1%Only GPT-5 Mini measured
LMArena Text14321373DeepSeek V4 Flash 0423
LMArena Text: instruction following14211357DeepSeek V4 Flash 0423
LMArena Text: creative writing14031325DeepSeek V4 Flash 0423
LMArena VisionNot measured1202Only GPT-5 Mini measured
LMArena Text: English14411379DeepSeek V4 Flash 0423
LMArena Text: non-English14191363DeepSeek V4 Flash 0423
LMArena Text: Chinese14631386DeepSeek V4 Flash 0423
LMArena Text: German14191366DeepSeek V4 Flash 0423
LMArena Text: Japanese13891341DeepSeek V4 Flash 0423
LMArena Text: Korean13831308DeepSeek V4 Flash 0423
LMArena Text: French14391386DeepSeek V4 Flash 0423
LMArena Text: Spanish14361354DeepSeek V4 Flash 0423
LMArena Text: Russian14271362DeepSeek V4 Flash 0423
LMArena Text: Polish14361378DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491363DeepSeek V4 Flash 0423
LMArena Text: longer queries14341355DeepSeek V4 Flash 0423
LMArena Text: writing and language14101344DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001340DeepSeek V4 Flash 0423
LMArena Vision: EnglishNot measured1216Only GPT-5 Mini measured
LMArena Vision: ChineseNot measured1214Only GPT-5 Mini measured
LMArena Vision: reading textNot measured1199Only GPT-5 Mini measured
LMArena Vision: humorNot measured1205Only GPT-5 Mini measured
LMArena Vision: captioningNot measured1217Only GPT-5 Mini measured
LMArena Vision: recognizing thingsNot measured1226Only GPT-5 Mini measured
LMArena Vision: creative writingNot measured1181Only GPT-5 Mini measured
Neither model has a result on the other 13 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 GPT-5 Mini
BenchmarkDeepSeek V4 Flash 0423GPT-5 MiniLeader
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
GPT-5 Mini$0.0013Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0073Fits in one request
GPT-5 Mini$0.018Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.029Fits in one request
GPT-5 Mini$0.070Fits 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 GPT-5 Mini
SpecificationDeepSeek V4 Flash 0423OpenAI GPT-5 Mini
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026August 7, 2025
Context window1.05M400K
Input $/Mtok$0.13$0.25
Output $/Mtok$0.28$2.00
Coding indexNot benchmarked34.2
Independent measurements behind it12
Cost per solved taskNot computable$0.08
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than GPT-5 Mini for coding?

Only GPT-5 Mini has a coding score, 34.2 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 output tokens 7.1x cheaper ($0.28 vs $2.00 per million) and a larger context window (1.05M against 400K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or GPT-5 Mini?

DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 per million output tokens; GPT-5 Mini costs $0.25 and $2.00. Cost per solved task is known for GPT-5 Mini only.

Which has the bigger context window, DeepSeek V4 Flash 0423 or GPT-5 Mini?

DeepSeek V4 Flash 0423, with 1.05M tokens against 400K.

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

42 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and GPT-5 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

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