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R1 0528 vs MiniMax M2.1

MiniMax M2.1 leads R1 0528 on the Artificial Analysis Intelligence Index, 20.9 to 13.1, and MiniMax M2.1 costs 1.8x less per output token ($1.20 vs $2.18 per million). Updated October 22, 2026; 19 benchmarks have a result for both.

Replace R1 0528 Replace MiniMax M2.1
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
1
MiniMax M2.1MiniMax
Coding
No data
Overall
No data
Output $/M
$1.20
18
vs boards won of 19 shared

R1 0528 or MiniMax M2.1: which to pick

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

Pick R1 0528 for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.1MiniMaxNot benchmarked1 independent benchmark$0.59 per solved task
Shared results
19
R1 0528 only
44
MiniMax M2.1 only
15
Like-for-like categories
8 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
R1 0528 not benchmarked, MiniMax M2.1 not benchmarked.
Widest category
Agentic work, 48.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: R1 0528 36.5% against MiniMax M2.1 85.4%, 48.8 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against MiniMax M2.1 $1.20 per million output tokens, 1.8x apart.
Context window
R1 0528 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
CategoryR1 0528BarsMiniMax M2.1Ties
Coding12
Intelligence01
Agentic work01
Reasoning02
Math02
Knowledge01
Web design07
General02
All shared boards118
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
Coding benchmarks for R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax M2.1Leader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LiveCodeBench (Vals AI)Not measured81.8%Only MiniMax M2.1 measured
SWE-bench Verified (Vals AI)Not measured74.8%Only MiniMax M2.1 measured
LiveCodeBench (Artificial Analysis run)77.0%81.0%MiniMax M2.1
Terminal-Bench Hard (Artificial Analysis run)15.9%28.8%MiniMax M2.1
Terminal-BenchNot measured36.6%Only MiniMax M2.1 measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1623.8R1 0528
LMArena Text: coding1427Not measuredOnly R1 0528 measured
LMArena Text: software and IT1435Not measuredOnly R1 0528 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 R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax M2.1Leader
AA Intelligence Index13.120.9MiniMax 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 R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax M2.1Leader
τ²-Bench Telecom36.5%85.4%MiniMax M2.1
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax M2.1Leader
GPQA DiamondNot measured78.5%Only MiniMax M2.1 measured
GPQA Diamond (Artificial Analysis run)81.3%83.0%MiniMax M2.1
Humanity's Last Exam (Artificial Analysis run)15.8%23.2%MiniMax M2.1
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%Not measuredOnly R1 0528 measured
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%Not measuredOnly R1 0528 measured
LMArena Text: hard prompts1415Not measuredOnly R1 0528 measured
LMArena Text: expert1394Not measuredOnly R1 0528 measured
LMArena Text: hard prompts in English1422Not measuredOnly R1 0528 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax 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 Index76.082.7MiniMax M2.1
AIME 2025 (Artificial Analysis run)76.0%82.7%MiniMax M2.1
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math1400Not measuredOnly R1 0528 measured
LMArena Text: mathematical work1415Not measuredOnly R1 0528 measured
MathArena12.9%Not measuredOnly R1 0528 measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax M2.1Leader
MMLU ProNot measured87.0%Only MiniMax M2.1 measured
LegalBench (Vals AI)Not measured75.5%Only MiniMax M2.1 measured
CaseLaw (Vals AI)Not measured55.8%Only MiniMax M2.1 measured
CorpFin (Vals AI)Not measured58.9%Only MiniMax M2.1 measured
TaxEval (Vals AI)Not measured66.3%Only MiniMax M2.1 measured
MedQA (Vals AI)Not measured91.2%Only MiniMax M2.1 measured
MedCode (Vals AI)Not measured34.1%Only MiniMax M2.1 measured
MMLU Pro (Artificial Analysis run)84.9%87.5%MiniMax M2.1
LMArena Text: science1430Not measuredOnly R1 0528 measured
LMArena Text: medicine and healthcare1445Not measuredOnly R1 0528 measured
LMArena Text: legal and government1419Not measuredOnly R1 0528 measured
LMArena Text: business and finance1402Not measuredOnly R1 0528 measured
PRBench Finance32.7%Not measuredOnly R1 0528 measured
PRBench Legal36.6%Not measuredOnly R1 0528 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax M2.1Leader
Design Arena: websites11491201MiniMax M2.1
Design Arena: UI components11001220MiniMax M2.1
Design Arena: game dev10971134MiniMax M2.1
Design Arena: data viz11821206MiniMax M2.1
Design Arena: 3D11101164MiniMax M2.1
Design Arena: all code categories11381190MiniMax M2.1
Design Arena: SVG10381131MiniMax M2.1
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 R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax M2.1Leader
MedScribe (Vals AI)Not measured80.8%Only MiniMax M2.1 measured
IFBench39.6%69.9%MiniMax M2.1
Long context reasoning (AA-LCR)55.7%67.7%MiniMax M2.1
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text1428Not measuredOnly R1 0528 measured
LMArena Text: instruction following1382Not measuredOnly R1 0528 measured
LMArena Text: creative writing1405Not measuredOnly R1 0528 measured
LMArena Text: English1437Not measuredOnly R1 0528 measured
LMArena Text: non-English1412Not measuredOnly R1 0528 measured
LMArena Text: Chinese1442Not measuredOnly R1 0528 measured
LMArena Text: German1404Not measuredOnly R1 0528 measured
LMArena Text: Japanese1391Not measuredOnly R1 0528 measured
LMArena Text: Korean1360Not measuredOnly R1 0528 measured
LMArena Text: French1417Not measuredOnly R1 0528 measured
LMArena Text: Spanish1411Not measuredOnly R1 0528 measured
LMArena Text: Russian1423Not measuredOnly R1 0528 measured
LMArena Text: Polish1428Not measuredOnly R1 0528 measured
LMArena Text: multi-turn1405Not measuredOnly R1 0528 measured
LMArena Text: longer queries1391Not measuredOnly R1 0528 measured
LMArena Text: writing and language1402Not measuredOnly R1 0528 measured
LMArena Text: entertainment and media1400Not measuredOnly R1 0528 measured
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and MiniMax M2.1
BenchmarkR1 0528MiniMax 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

R1 0528$0.0016Fits in one request
MiniMax M2.1$0.0009Fits in one request

MiniMax M2.1 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
MiniMax M2.1$0.019Fits in one request

MiniMax M2.1 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
MiniMax M2.1$0.072Exceeds the context window

MiniMax M2.1 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 R1 0528 and MiniMax M2.1
SpecificationDeepSeek R1 0528MiniMax M2.1
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025December 23, 2025
Context window164K205K
Input $/Mtok$0.50$0.30
Output $/Mtok$2.18$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computable$0.59
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than MiniMax M2.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, R1 0528 or MiniMax M2.1?

R1 0528 costs $0.50 per million input tokens and $2.18 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, R1 0528 or MiniMax M2.1?

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

How many benchmarks is the R1 0528 vs MiniMax M2.1 comparison based on?

19 benchmarks have a result for both models as of October 22, 2026. R1 0528'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.

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