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DeepSeek V4 Flash 0423 vs MiniMax M1

DeepSeek V4 Flash 0423 leads MiniMax M1 on the Artificial Analysis Intelligence Index, 24.4 to 11.7, and DeepSeek V4 Flash 0423 costs 7.9x less per output token ($0.28 vs $2.20 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace MiniMax M1
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
29
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
0
vs boards won of 29 shared

DeepSeek V4 Flash 0423 or MiniMax M1: 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 7.9x cheaper ($0.28 vs $2.20 per million) and a larger context window (1.05M against 1M tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BMiniMax M1MiniMaxNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
29
DeepSeek V4 Flash 0423 only
21
MiniMax M1 only
0
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, MiniMax M1 not benchmarked.
Widest category
Reasoning, 18.0 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: Japanese: DeepSeek V4 Flash 0423 1389 against MiniMax M1 1217, 28.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against MiniMax M1 $2.20 per million output tokens, 7.9x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, MiniMax M1 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 0423BarsMiniMax M1Ties
Coding20
Intelligence10
Reasoning30
Math20
Knowledge40
General170
All shared boards290
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for DeepSeek V4 Flash 0423 and MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571359DeepSeek V4 Flash 0423
LMArena Text: software and IT14531359DeepSeek 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 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
AA Intelligence Index24.411.7DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441339DeepSeek V4 Flash 0423
LMArena Text: expert14411317DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491353DeepSeek V4 Flash 0423
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 18 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
LMArena Text: math14261361DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321363DeepSeek V4 Flash 0423
MathArena24.8%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
LMArena Text: science14461354DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481355DeepSeek V4 Flash 0423
LMArena Text: legal and government14391337DeepSeek V4 Flash 0423
LMArena Text: business and finance14251319DeepSeek V4 Flash 0423
Neither model has a result on the other 16 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 MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
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: SVG1154Not 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 index170
General benchmarks for DeepSeek V4 Flash 0423 and MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
DTBench86.4%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMCA35.9%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text14321343DeepSeek V4 Flash 0423
LMArena Text: instruction following14211312DeepSeek V4 Flash 0423
LMArena Text: creative writing14031297DeepSeek V4 Flash 0423
LMArena Text: English14411363DeepSeek V4 Flash 0423
LMArena Text: non-English14191319DeepSeek V4 Flash 0423
LMArena Text: Chinese14631360DeepSeek V4 Flash 0423
LMArena Text: German14191350DeepSeek V4 Flash 0423
LMArena Text: Japanese13891217DeepSeek V4 Flash 0423
LMArena Text: Korean13831266DeepSeek V4 Flash 0423
LMArena Text: French14391370DeepSeek V4 Flash 0423
LMArena Text: Spanish14361353DeepSeek V4 Flash 0423
LMArena Text: Russian14271329DeepSeek V4 Flash 0423
LMArena Text: Polish14361329DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491335DeepSeek V4 Flash 0423
LMArena Text: longer queries14341326DeepSeek V4 Flash 0423
LMArena Text: writing and language14101311DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001303DeepSeek V4 Flash 0423
Neither model has a result on the other 29 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 MiniMax M1
BenchmarkDeepSeek V4 Flash 0423MiniMax M1Leader
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
MiniMax M1$0.0015Fits 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
MiniMax M1$0.027Fits 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
MiniMax M1$0.102Fits 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 MiniMax M1
SpecificationDeepSeek V4 Flash 0423MiniMax M1
MakerDeepSeekMiniMax
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026June 17, 2025
Context window1.05M1M
Input $/Mtok$0.13$0.40
Output $/Mtok$0.28$2.20
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 MiniMax M1 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 7.9x cheaper ($0.28 vs $2.20 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or MiniMax M1?

DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or MiniMax M1?

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

How many benchmarks is the DeepSeek V4 Flash 0423 vs MiniMax M1 comparison based on?

29 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 MiniMax M1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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