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R1 0528 vs MiniMax M2

Updated October 21, 2026. 44 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace R1 0528 Replace MiniMax M2
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
33
MiniMax M2MiniMax
Coding
45.3
Overall
18.6
Output $/M
$1.02
11
vs boards won of 44 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 45.3 for MiniMax M2, though on 1 benchmark against 2.

Pick MiniMax M2 when output tokens cost 2.1x less, or when the context window is larger, 205K against 164K tokens.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel BMiniMax M2MiniMax45.3/1002 independent benchmarks$0.702 per solved task
Shared results
44
R1 0528 only
15
MiniMax M2 only
5
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 71.4 from 1 benchmark, MiniMax M2 45.3 from 2 benchmarks.
Widest category
Agentic work, 50.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: R1 0528 36.5% against MiniMax M2 86.8%, 50.3 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against MiniMax M2 $1.02 per million output tokens, 2.1x apart.
Context window
R1 0528 takes 164K tokens, MiniMax M2 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 M2Ties
Coding22
Intelligence01
Agentic work01
Reasoning50
Math22
Knowledge50
Web design43
General152
All shared boards3311
CodingLike-for-likeFour of these boards feed the Vibe Coding Index22
Coding benchmarks for R1 0528 and MiniMax M2
BenchmarkR1 0528MiniMax M2Leader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
SWE-bench VerifiedNot measured61.0%Only MiniMax M2 measured
LMArena WebDevNot measured1297Only MiniMax M2 measured
LiveCodeBench (Artificial Analysis run)77.0%82.6%MiniMax M2
Terminal-Bench Hard (Artificial Analysis run)15.9%25.8%MiniMax M2
Terminal-BenchNot measured30.0%Only MiniMax M2 measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271371R1 0528
LMArena Text: software and IT14351373R1 0528
LMArena WebDev: HTMLNot measured1306Only MiniMax M2 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and MiniMax M2
BenchmarkR1 0528MiniMax M2Leader
AA Intelligence Index13.118.6MiniMax M2
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
BenchmarkR1 0528MiniMax M2Leader
τ²-Bench Telecom36.5%86.8%MiniMax M2
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Vending-Bench 2Not measured$161Only MiniMax M2 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for R1 0528 and MiniMax M2
BenchmarkR1 0528MiniMax M2Leader
GPQA Diamond (Artificial Analysis run)81.3%77.7%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%13.7%R1 0528
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 prompts14151357R1 0528
LMArena Text: expert13941338R1 0528
LMArena Text: hard prompts in English14221376R1 0528
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for R1 0528 and MiniMax M2
BenchmarkR1 0528MiniMax M2Leader
AA Math Index76.078.3MiniMax M2
AIME 2025 (Artificial Analysis run)76.0%78.3%MiniMax M2
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001351R1 0528
LMArena Text: mathematical work14151368R1 0528
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for R1 0528 and MiniMax M2
BenchmarkR1 0528MiniMax M2Leader
MMLU Pro (Artificial Analysis run)84.9%82.0%R1 0528
LMArena Text: science14301348R1 0528
LMArena Text: medicine and healthcare14451367R1 0528
LMArena Text: legal and government14191349R1 0528
LMArena Text: business and finance14021336R1 0528
Neither model has a result on the other 12 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for R1 0528 and MiniMax M2
BenchmarkR1 0528MiniMax M2Leader
Design Arena: websites11491144R1 0528
Design Arena: UI components11021136MiniMax M2
Design Arena: game dev10981119MiniMax M2
Design Arena: data viz11821140R1 0528
Design Arena: 3D11111098R1 0528
Design Arena: all code categories11391135R1 0528
Design Arena: SVG10381098MiniMax M2
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index152
General benchmarks for R1 0528 and MiniMax M2
BenchmarkR1 0528MiniMax M2Leader
IFBench39.6%72.3%MiniMax M2
Long context reasoning (AA-LCR)55.7%64.3%MiniMax M2
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281340R1 0528
LMArena Text: instruction following13821329R1 0528
LMArena Text: creative writing14051286R1 0528
LMArena Text: English14371364R1 0528
LMArena Text: non-English14121313R1 0528
LMArena Text: Chinese14421366R1 0528
LMArena Text: German14041357R1 0528
LMArena Text: Japanese1391Not measuredOnly R1 0528 measured
LMArena Text: Korean1360Not measuredOnly R1 0528 measured
LMArena Text: French14171336R1 0528
LMArena Text: Spanish14111326R1 0528
LMArena Text: Russian14231330R1 0528
LMArena Text: Polish14281312R1 0528
LMArena Text: multi-turn14051361R1 0528
LMArena Text: longer queries13911331R1 0528
LMArena Text: writing and language14021295R1 0528
LMArena Text: entertainment and media14001298R1 0528
Neither model has a result on the other 25 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
BenchmarkR1 0528MiniMax M2Leader
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$0.0008Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
MiniMax M2$0.016Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
MiniMax M2$0.061Exceeds the context window

MiniMax M2 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
SpecificationDeepSeek R1 0528MiniMax M2
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025October 23, 2025
Context window164K205K
Input $/Mtok$0.50$0.255
Output $/Mtok$2.15$1.02
Coding index71.445.3
Independent measurements behind it12
Cost per solved taskNot computable$0.702
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than MiniMax M2 for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 45.3 for MiniMax M2, though on 1 benchmark against 2. Pick MiniMax M2 when output tokens cost 2.1x less, or when the context window is larger, 205K against 164K tokens.

Which is cheaper, R1 0528 or MiniMax M2?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, R1 0528 or MiniMax M2?

MiniMax M2, with 205K tokens against 164K.

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

44 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and MiniMax M2's on 2. Where only one model has a result, the page says so instead of naming a winner.

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