Enter opens the highlighted result. Esc closes.

DeepSeek V3 0324 vs MiniMax M2.1

MiniMax M2.1 leads DeepSeek V3 0324 on the Artificial Analysis Intelligence Index, 20.9 to 9.7, at about the same output price ($1.20 vs $1.07 per million). Updated October 23, 2026; 21 benchmarks have a result for both.

Replace DeepSeek V3 0324 Replace MiniMax M2.1
DeepSeek V3 0324DeepSeek
Coding
No data
Overall
No data
Output $/M
$1.07
3
MiniMax M2.1MiniMax
Coding
No data
Overall
No data
Output $/M
$1.20
18
vs boards won of 21 shared

DeepSeek V3 0324 or MiniMax M2.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick DeepSeek V3 0324 for output tokens 1.1x cheaper ($1.07 vs $1.20 per million) and work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Model ADeepSeek V3 0324DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.1MiniMaxNot benchmarked1 independent benchmark$0.59 per solved task
Shared results
21
DeepSeek V3 0324 only
15
MiniMax M2.1 only
13
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 V3 0324 not benchmarked, MiniMax M2.1 not benchmarked.
Widest category
Agentic work, 38.3 points apart on average over 1 shared benchmark.
Widest single gap
AA Math Index: DeepSeek V3 0324 41.0 against MiniMax M2.1 82.7, 41.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V3 0324 $1.07 against MiniMax M2.1 $1.20 per million output tokens, 1.1x apart.
Context window
DeepSeek V3 0324 takes 164K 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 V3 0324BarsMiniMax M2.1Ties
Coding03
Intelligence01
Agentic work01
Reasoning03
Math14
Knowledge24
General02
All shared boards318
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax M2.1Leader
SWE-bench Verified42.0%Not measuredOnly DeepSeek V3 0324 measured
AA Coding Index21.2Not measuredOnly DeepSeek V3 0324 measured
LiveCodeBench (Vals AI)65.5%81.8%MiniMax M2.1
SWE-bench Verified (Vals AI)Not measured74.8%Only MiniMax M2.1 measured
LiveCodeBench (Artificial Analysis run)40.5%81.0%MiniMax M2.1
SciCode39.0%Not measuredOnly DeepSeek V3 0324 measured
Terminal-Bench Hard (Artificial Analysis run)15.2%28.8%MiniMax M2.1
Terminal-BenchNot measured36.6%Only MiniMax M2.1 measured
WeirdML36.1%Not measuredOnly DeepSeek V3 0324 measured
ALE-BenchNot measured623.8Only MiniMax M2.1 measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax M2.1Leader
AA Intelligence Index9.720.9MiniMax M2.1
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax M2.1Leader
AA Agentic Index0.8Not measuredOnly DeepSeek V3 0324 measured
τ²-Bench Telecom47.1%85.4%MiniMax M2.1
METR time horizons49.6%Not measuredOnly DeepSeek V3 0324 measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax M2.1Leader
GPQA Diamond61.6%78.5%MiniMax M2.1
GPQA Diamond (Artificial Analysis run)65.5%83.0%MiniMax M2.1
Humanity's Last Exam (Artificial Analysis run)4.7%23.2%MiniMax M2.1
GPQA Diamond (Epoch AI run)67.6%Not measuredOnly DeepSeek V3 0324 measured
SimpleBench27.2%Not measuredOnly DeepSeek V3 0324 measured
Neither model has a result on the other 18 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index14
Math benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax M2.1Leader
AIME52.2%77.9%MiniMax M2.1
MATH 500 (Vals AI)88.6%89.0%MiniMax M2.1
MGSM (Vals AI)91.7%87.8%DeepSeek V3 0324
AA Math Index41.082.7MiniMax M2.1
AIME 2025 (Artificial Analysis run)41.0%82.7%MiniMax M2.1
OTIS Mock AIME37.8%Not measuredOnly DeepSeek V3 0324 measured
MATH level 575.5%Not measuredOnly DeepSeek V3 0324 measured
MathArena7.1%Not measuredOnly DeepSeek V3 0324 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
Knowledge benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax M2.1Leader
MMLU Pro79.5%87.0%MiniMax M2.1
LegalBench (Vals AI)77.7%75.5%DeepSeek V3 0324
CaseLaw (Vals AI)Not measured55.8%Only MiniMax M2.1 measured
CorpFin (Vals AI)54.7%58.9%MiniMax M2.1
TaxEval (Vals AI)71.1%66.3%DeepSeek V3 0324
MedQA (Vals AI)82.0%91.2%MiniMax M2.1
MedCode (Vals AI)Not measured34.1%Only MiniMax M2.1 measured
MMLU Pro (Artificial Analysis run)81.9%87.5%MiniMax M2.1
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax M2.1Leader
Design Arena: websitesNot measured1201Only MiniMax M2.1 measured
Design Arena: UI componentsNot measured1220Only MiniMax M2.1 measured
Design Arena: game devNot measured1134Only MiniMax M2.1 measured
Design Arena: data vizNot measured1207Only MiniMax M2.1 measured
Design Arena: 3DNot measured1166Only MiniMax M2.1 measured
Design Arena: all code categoriesNot measured1190Only MiniMax M2.1 measured
Design Arena: SVGNot measured1131Only MiniMax M2.1 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
General benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax M2.1Leader
MedScribe (Vals AI)Not measured80.8%Only MiniMax M2.1 measured
IFBench41.0%69.9%MiniMax M2.1
Long context reasoning (AA-LCR)40.7%67.7%MiniMax M2.1
DTBench64.8%Not measuredOnly DeepSeek V3 0324 measured
LMCA15.5%Not measuredOnly DeepSeek V3 0324 measured
Fiction.LiveBench50.0%Not measuredOnly DeepSeek V3 0324 measured
Creative writing (Lech Mazur)77.0%Not measuredOnly DeepSeek V3 0324 measured
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3 0324 and MiniMax M2.1
BenchmarkDeepSeek V3 0324MiniMax 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 V3 0324$0.0008Fits in one request
MiniMax M2.1$0.0009Fits in one request

DeepSeek V3 0324 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3 0324$0.017Fits in one request
MiniMax M2.1$0.019Fits in one request

DeepSeek V3 0324 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3 0324$0.065Exceeds the context window
MiniMax M2.1$0.072Exceeds the context window

DeepSeek V3 0324 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 V3 0324 and MiniMax M2.1
SpecificationDeepSeek V3 0324MiniMax M2.1
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedMarch 24, 2025December 23, 2025
Context window164K205K
Input $/Mtok$0.27$0.30
Output $/Mtok$1.07$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.59
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3 0324 better than MiniMax M2.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3 0324 for output tokens 1.1x cheaper ($1.07 vs $1.20 per million) and work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, DeepSeek V3 0324 or MiniMax M2.1?

DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; MiniMax M2.1 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.1 only.

Which has the bigger context window, DeepSeek V3 0324 or MiniMax M2.1?

MiniMax M2.1, with 205K tokens against 164K.

How many benchmarks is the DeepSeek V3 0324 vs MiniMax M2.1 comparison based on?

21 benchmarks have a result for both models as of October 23, 2026. DeepSeek V3 0324's coding index rests on 0 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