Enter opens the highlighted result. Esc closes.

DeepSeek V4 Flash 0731 vs MiniMax M2.1

DeepSeek V4 Flash 0731 leads MiniMax M2.1 on the Artificial Analysis Intelligence Index, 34.3 to 20.9, and DeepSeek V4 Flash 0731 costs 4.3x less per output token ($0.28 vs $1.20 per million). Updated October 22, 2026; 21 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0731 Replace MiniMax M2.1
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
55.2
Output $/M
$0.28
18
MiniMax M2.1MiniMax
Coding
No data
Overall
No data
Output $/M
$1.20
3
vs boards won of 21 shared

DeepSeek V4 Flash 0731 or MiniMax M2.1: which to pick

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; MiniMax M2.1 has none, so the two cannot be ranked on coding.

Pick MiniMax M2.1 for work measured by MMLU Pro or Design Arena: data viz, where it leads.

Model ADeepSeek V4 Flash 0731DeepSeek51.8/1004 independent benchmarks$0.01 per solved taskModel BMiniMax M2.1MiniMaxNot benchmarked1 independent benchmark$0.59 per solved task
Shared results
21
DeepSeek V4 Flash 0731 only
34
MiniMax M2.1 only
13
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 0731 51.8 from 4 benchmarks, MiniMax M2.1 not benchmarked.
Widest category
Coding, 14.1 points apart on average over 3 shared benchmarks.
Widest single gap
ALE-Bench: DeepSeek V4 Flash 0731 1306.1 against MiniMax M2.1 623.8, 22.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0731 $0.28 against MiniMax M2.1 $1.20 per million output tokens, 4.3x apart.
Context window
DeepSeek V4 Flash 0731 takes 1.05M tokens, MiniMax M2.1 205K.

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 0731BarsMiniMax M2.1Ties
Coding30
Intelligence10
Reasoning30
Knowledge41
Web design61
General11
All shared boards183
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
AA Coding Index69.1Not measuredOnly DeepSeek V4 Flash 0731 measured
LiveCodeBench (Vals AI)87.3%81.8%DeepSeek V4 Flash 0731
SWE-bench Verified (Vals AI)88.8%74.8%DeepSeek V4 Flash 0731
Terminal-Bench 4 (Vals AI)18.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Vibe Code Bench (Vals AI)74.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Code migration (Vals AI)38.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
IOI (Vals AI)32.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 2.1 (Vals AI)67.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
SkillsBench (Vals AI)50.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CyberBench (Vals AI)72.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
LiveCodeBench (Artificial Analysis run)Not measured81.0%Only MiniMax M2.1 measured
SciCode50.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured28.8%Only MiniMax M2.1 measured
Terminal-BenchNot measured36.6%Only MiniMax M2.1 measured
FrontierCode18.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
WeirdML63.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ALE-Bench1306.1623.8DeepSeek V4 Flash 0731
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
AA Intelligence Index34.320.9DeepSeek V4 Flash 0731
Epoch Capabilities Index154.8Not measuredOnly DeepSeek V4 Flash 0731 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
AA Agentic Index41.0Not measuredOnly DeepSeek V4 Flash 0731 measured
Finance Agent (Vals AI)49.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
Tax Agent Bench (Vals AI)28.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Legal Research Bench (Vals AI)30.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
BioMysteryBench (Vals AI)64.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
τ²-Bench TelecomNot measured85.4%Only MiniMax M2.1 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
GPQA Diamond89.9%78.5%DeepSeek V4 Flash 0731
GPQA Diamond (Artificial Analysis run)90.8%83.0%DeepSeek V4 Flash 0731
Humanity's Last Exam (Artificial Analysis run)38.6%23.2%DeepSeek V4 Flash 0731
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI89.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI-261.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
SimpleBench61.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Chess puzzles32.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Mystery game puzzles34.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Math benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
AIMENot measured77.9%Only MiniMax M2.1 measured
MATH 500 (Vals AI)Not measured89.0%Only MiniMax M2.1 measured
MGSM (Vals AI)Not measured87.8%Only MiniMax M2.1 measured
AA Math IndexNot measured82.7Only MiniMax M2.1 measured
AIME 2025 (Artificial Analysis run)Not measured82.7%Only MiniMax M2.1 measured
OTIS Mock AIME94.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierMath, tiers 1 to 357.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierMath, tier 424.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProofBench56.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
MMLU Pro86.2%87.0%MiniMax M2.1
LegalBench (Vals AI)77.7%75.5%DeepSeek V4 Flash 0731
CaseLaw (Vals AI)Not measured55.8%Only MiniMax M2.1 measured
CorpFin (Vals AI)61.9%58.9%DeepSeek V4 Flash 0731
TaxEval (Vals AI)70.7%66.3%DeepSeek V4 Flash 0731
MedQA (Vals AI)Not measured91.2%Only MiniMax M2.1 measured
MedCode (Vals AI)41.4%34.1%DeepSeek V4 Flash 0731
MMLU Pro (Artificial Analysis run)Not measured87.5%Only MiniMax M2.1 measured
SimpleQA Verified33.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
Design Arena: websites12371201DeepSeek V4 Flash 0731
Design Arena: UI components12331220DeepSeek V4 Flash 0731
Design Arena: game dev12071134DeepSeek V4 Flash 0731
Design Arena: data viz11801206MiniMax M2.1
Design Arena: 3D12081164DeepSeek V4 Flash 0731
Design Arena: all code categories12291190DeepSeek V4 Flash 0731
Design Arena: SVG11841131DeepSeek V4 Flash 0731
Design Arena: ASCII art1090Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
MedScribe (Vals AI)80.4%80.8%MiniMax M2.1
IFBenchNot measured69.9%Only MiniMax M2.1 measured
Long context reasoning (AA-LCR)79.7%67.7%DeepSeek V4 Flash 0731
DTBench90.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
LMCA41.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 43 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0731 and MiniMax M2.1
BenchmarkDeepSeek V4 Flash 0731MiniMax M2.1Leader
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 0731$0.0003Fits in one request
MiniMax M2.1$0.0009Fits in one request

DeepSeek V4 Flash 0731 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0731$0.0078Fits in one request
MiniMax M2.1$0.019Fits in one request

DeepSeek V4 Flash 0731 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0731$0.031Fits in one request
MiniMax M2.1$0.072Exceeds the context window

DeepSeek V4 Flash 0731 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 0731 and MiniMax M2.1
SpecificationDeepSeek V4 Flash 0731MiniMax M2.1
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedJuly 31, 2026December 23, 2025
Context window1.05M205K
Input $/Mtok$0.14$0.30
Output $/Mtok$0.28$1.20
Coding index51.8Not benchmarked
Independent measurements behind it41
Cost per solved task$0.01$0.59
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0731 better than MiniMax M2.1 for coding?

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; MiniMax M2.1 has none, so the two cannot be ranked on coding. Pick MiniMax M2.1 for work measured by MMLU Pro or Design Arena: data viz, where it leads.

Which is cheaper, DeepSeek V4 Flash 0731 or MiniMax M2.1?

DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.28 per million output tokens; MiniMax M2.1 costs $0.30 and $1.20. Per solved SWE-bench Verified task, DeepSeek V4 Flash 0731 costs $0.01 and MiniMax M2.1 $0.59.

Which has the bigger context window, DeepSeek V4 Flash 0731 or MiniMax M2.1?

DeepSeek V4 Flash 0731, with 1.05M tokens against 205K.

How many benchmarks is the DeepSeek V4 Flash 0731 vs MiniMax M2.1 comparison based on?

21 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0731's coding index rests on 4 independent benchmarks and MiniMax M2.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next