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DeepSeek V4 Pro 0423 vs MiniMax M1

DeepSeek V4 Pro 0423 leads MiniMax M1 on the Artificial Analysis Intelligence Index, 30.4 to 11.7, and MiniMax M1 costs 1.4x less per output token ($2.20 vs $2.976 per million). Updated October 22, 2026; 29 benchmarks have a result for both.

DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
50.0
Output $/M
$2.976
29
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
0
vs boards won of 29 shared

DeepSeek V4 Pro 0423 or MiniMax M1: which to pick

Only DeepSeek V4 Pro 0423 has a coding score, 38.7 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding.

Pick MiniMax M1 for output tokens 1.4x cheaper ($2.20 vs $2.976 per million).

Shared results
29
DeepSeek V4 Pro 0423 only
55
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 Pro 0423 38.7 from 5 benchmarks, MiniMax M1 not benchmarked.
Widest category
General, 21.6 points apart on average over 17 shared benchmarks.
Widest single gap
LMArena Text: Japanese: DeepSeek V4 Pro 0423 1446 against MiniMax M1 1217, 38.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0423 $2.976 against MiniMax M1 $2.20 per million output tokens, 1.4x apart.
Context window
DeepSeek V4 Pro 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 Pro 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 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 0423MiniMax M1Leader
LMArena WebDev1447Not measuredOnly DeepSeek V4 Pro 0423 measured
AA Coding Index59.4Not measuredOnly DeepSeek V4 Pro 0423 measured
LiveCodeBench (Vals AI)87.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)11.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)49.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
Code migration (Vals AI)26.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
SkillsBench (Vals AI)51.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
FrontierCode17.6%Not measuredOnly DeepSeek V4 Pro 0423 measured
WeirdML48.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
ALE-Bench1006.1Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: coding14701359DeepSeek V4 Pro 0423
LMArena Text: software and IT14691359DeepSeek V4 Pro 0423
LMArena WebDev: React1441Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena WebDev: HTML1435Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 0423MiniMax M1Leader
AA Intelligence Index30.411.7DeepSeek V4 Pro 0423
Epoch Capabilities Index149.1Not measuredOnly DeepSeek V4 Pro 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for DeepSeek V4 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 0423MiniMax M1Leader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building web apps1000Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack apps948Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot games1059Not measuredOnly DeepSeek V4 Pro 0423 measured
Finance Agent (Vals AI)44.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Tax Agent Bench (Vals AI)25.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
Legal Research Bench (Vals AI)23.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Excel Modeling Benchmark (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0423 measured
Vending-Bench 2$3,285Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 0423MiniMax M1Leader
GPQA Diamond89.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
GPQA Diamond (Epoch AI run)90.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
Chess puzzles19.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Mystery game puzzles17.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: hard prompts14611339DeepSeek V4 Pro 0423
LMArena Text: expert14631317DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English14661353DeepSeek V4 Pro 0423
Kagi LLM Benchmark53.5%Not measuredOnly DeepSeek V4 Pro 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 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 0423MiniMax M1Leader
OTIS Mock AIME96.7%Not measuredOnly DeepSeek V4 Pro 0423 measured
FrontierMath, tiers 1 to 345.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
FrontierMath, tier 42.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
ProofBench16.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: math14431361DeepSeek V4 Pro 0423
LMArena Text: mathematical work14551363DeepSeek V4 Pro 0423
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 0423MiniMax M1Leader
MMLU Pro87.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
LegalBench (Vals AI)80.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
CaseLaw (Vals AI)59.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)61.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
TaxEval (Vals AI)72.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
MedCode (Vals AI)40.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
SimpleQA Verified47.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: science14701354DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare14661355DeepSeek V4 Pro 0423
LMArena Text: legal and government14641337DeepSeek V4 Pro 0423
LMArena Text: business and finance14431319DeepSeek V4 Pro 0423
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 0423MiniMax M1Leader
Design Arena: websites1234Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: UI components1219Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: game dev1228Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: data viz1203Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: 3D1253Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: all code categories1240Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: SVG1139Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: ASCII art1149Not measuredOnly DeepSeek V4 Pro 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 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 0423MiniMax M1Leader
Public Benefits Bench (Vals AI)62.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
MedScribe (Vals AI)75.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
DTBench90.7%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMCA41.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
Surface Evolver Bench40.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
CL-bench Life13.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text14511343DeepSeek V4 Pro 0423
LMArena Text: instruction following14451312DeepSeek V4 Pro 0423
LMArena Text: creative writing14461297DeepSeek V4 Pro 0423
LMArena Text: English14591363DeepSeek V4 Pro 0423
LMArena Text: non-English14391319DeepSeek V4 Pro 0423
LMArena Text: Chinese14811360DeepSeek V4 Pro 0423
LMArena Text: German14581350DeepSeek V4 Pro 0423
LMArena Text: Japanese14461217DeepSeek V4 Pro 0423
LMArena Text: Korean14091266DeepSeek V4 Pro 0423
LMArena Text: French14731370DeepSeek V4 Pro 0423
LMArena Text: Spanish14571353DeepSeek V4 Pro 0423
LMArena Text: Russian14531329DeepSeek V4 Pro 0423
LMArena Text: Polish14611329DeepSeek V4 Pro 0423
LMArena Text: multi-turn14681335DeepSeek V4 Pro 0423
LMArena Text: longer queries14581326DeepSeek V4 Pro 0423
LMArena Text: writing and language14471311DeepSeek V4 Pro 0423
LMArena Text: entertainment and media14311303DeepSeek V4 Pro 0423
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0423 and MiniMax M1
BenchmarkDeepSeek V4 Pro 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 Pro 0423$0.0028Fits in one request
MiniMax M1$0.0015Fits in one request

MiniMax M1 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.077Fits in one request
MiniMax M1$0.027Fits in one request

MiniMax M1 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.301Fits in one request
MiniMax M1$0.102Fits in one request

MiniMax M1 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 Pro 0423 and MiniMax M1
SpecificationDeepSeek V4 Pro 0423MiniMax M1
MakerDeepSeekMiniMax
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026June 17, 2025
Context window1.05M1M
Input $/Mtok$1.358$0.40
Output $/Mtok$2.976$2.20
Coding index38.7Not benchmarked
Independent measurements behind it50
Cost per solved task$0.57Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than MiniMax M1 for coding?

Only DeepSeek V4 Pro 0423 has a coding score, 38.7 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding. Pick MiniMax M1 for output tokens 1.4x cheaper ($2.20 vs $2.976 per million).

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

DeepSeek V4 Pro 0423 costs $1.358 per million input tokens and $2.976 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

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

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

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

29 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks 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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