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R1 0528 vs MiniMax M2.5

MiniMax M2.5 leads R1 0528 on the Artificial Analysis Intelligence Index, 22.8 to 13.1, and MiniMax M2.5 costs 1.8x less per output token ($1.20 vs $2.18 per million). Updated October 22, 2026; 45 benchmarks have a result for both.

Replace R1 0528 Replace MiniMax M2.5
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
30
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
15
vs boards won of 45 shared

R1 0528 or MiniMax M2.5: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding.

Pick R1 0528 for work measured by ALE-Bench or LMArena Text: coding, where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved task
Shared results
45
R1 0528 only
18
MiniMax M2.5 only
26
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 M2.5 37.2 from 3 benchmarks.
Widest category
Agentic work, 58.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: R1 0528 36.5% against MiniMax M2.5 95.3%, 58.8 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against MiniMax M2.5 $1.20 per million output tokens, 1.8x apart.
Context window
R1 0528 takes 164K tokens, MiniMax M2.5 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 M2.5Ties
Coding31
Intelligence01
Agentic work01
Reasoning34
Math20
Knowledge40
Web design16
General172
All shared boards3015
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for R1 0528 and MiniMax M2.5
BenchmarkR1 0528MiniMax M2.5Leader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LMArena WebDevNot measured1386Only MiniMax M2.5 measured
LiveCodeBench (Vals AI)Not measured79.2%Only MiniMax M2.5 measured
SWE-bench Verified (Vals AI)Not measured74.2%Only MiniMax M2.5 measured
Vibe Code Bench (Vals AI)Not measured14.8%Only MiniMax M2.5 measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%34.8%MiniMax M2.5
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1618.2R1 0528
LMArena Text: coding14271380R1 0528
LMArena Text: software and IT14351383R1 0528
LMArena WebDev: ReactNot measured1374Only MiniMax M2.5 measured
LMArena WebDev: HTMLNot measured1414Only MiniMax M2.5 measured
SWE Atlas: Codebase QnANot measured10.3%Only MiniMax M2.5 measured
SWE Atlas: RefactoringNot measured19.5%Only MiniMax M2.5 measured
SWE Atlas: Test WritingNot measured18.6%Only MiniMax M2.5 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and MiniMax M2.5
BenchmarkR1 0528MiniMax M2.5Leader
AA Intelligence Index13.122.8MiniMax M2.5
Epoch Capabilities IndexNot measured146.6Only MiniMax M2.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for R1 0528 and MiniMax M2.5
BenchmarkR1 0528MiniMax M2.5Leader
τ²-Bench Telecom36.5%95.3%MiniMax M2.5
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
BrowseComp-Plus16.4%Not measuredOnly R1 0528 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
Reasoning benchmarks for R1 0528 and MiniMax M2.5
BenchmarkR1 0528MiniMax M2.5Leader
GPQA DiamondNot measured82.1%Only MiniMax M2.5 measured
GPQA Diamond (Artificial Analysis run)81.3%84.8%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)15.8%20.5%MiniMax M2.5
GPQA Diamond (Epoch AI run)76.3%Not measuredOnly R1 0528 measured
ARC-AGI21.2%63.7%MiniMax M2.5
ARC-AGI-21.1%4.9%MiniMax M2.5
SimpleBench40.8%Not measuredOnly R1 0528 measured
LMArena Text: hard prompts14151372R1 0528
LMArena Text: expert13941378R1 0528
LMArena Text: hard prompts in English14221384R1 0528
Kagi LLM BenchmarkNot measured55.2%Only MiniMax M2.5 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for R1 0528 and MiniMax M2.5
BenchmarkR1 0528MiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%Not measuredOnly R1 0528 measured
ProofBenchNot measured4.0%Only MiniMax M2.5 measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001378R1 0528
LMArena Text: mathematical work14151378R1 0528
MathArena12.9%Not measuredOnly R1 0528 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for R1 0528 and MiniMax M2.5
BenchmarkR1 0528MiniMax M2.5Leader
MMLU ProNot measured80.1%Only MiniMax M2.5 measured
LegalBench (Vals AI)Not measured80.0%Only MiniMax M2.5 measured
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)Not measured68.2%Only MiniMax M2.5 measured
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science14301369R1 0528
LMArena Text: medicine and healthcare14451357R1 0528
LMArena Text: legal and government14191366R1 0528
LMArena Text: business and finance14021356R1 0528
PRBench Finance32.7%Not measuredOnly R1 0528 measured
PRBench Legal36.6%Not measuredOnly R1 0528 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for R1 0528 and MiniMax M2.5
BenchmarkR1 0528MiniMax M2.5Leader
Design Arena: websites11491222MiniMax M2.5
Design Arena: UI components11001170MiniMax M2.5
Design Arena: game dev10971176MiniMax M2.5
Design Arena: data viz11821172R1 0528
Design Arena: 3D11101170MiniMax M2.5
Design Arena: all code categories11381207MiniMax M2.5
Design Arena: SVG10381150MiniMax M2.5
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index172
General benchmarks for R1 0528 and MiniMax M2.5
BenchmarkR1 0528MiniMax M2.5Leader
IFBench39.6%71.6%MiniMax M2.5
Long context reasoning (AA-LCR)55.7%73.3%MiniMax M2.5
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
CL-benchNot measured11.4%Only MiniMax M2.5 measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14281359R1 0528
LMArena Text: instruction following13821353R1 0528
LMArena Text: creative writing14051331R1 0528
LMArena Text: English14371380R1 0528
LMArena Text: non-English14121338R1 0528
LMArena Text: Chinese14421393R1 0528
LMArena Text: German14041361R1 0528
LMArena Text: Japanese13911171R1 0528
LMArena Text: Korean13601233R1 0528
LMArena Text: French14171363R1 0528
LMArena Text: Spanish14111353R1 0528
LMArena Text: Russian14231359R1 0528
LMArena Text: Polish14281334R1 0528
LMArena Text: multi-turn14051364R1 0528
LMArena Text: longer queries13911366R1 0528
LMArena Text: writing and language14021345R1 0528
LMArena Text: entertainment and media14001329R1 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 M2.5
BenchmarkR1 0528MiniMax M2.5Leader
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 M2.5$0.0009Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
MiniMax M2.5$0.019Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
MiniMax M2.5$0.072Exceeds the context window

MiniMax M2.5 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 M2.5
SpecificationDeepSeek R1 0528MiniMax M2.5
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025February 12, 2026
Context window164K205K
Input $/Mtok$0.50$0.30
Output $/Mtok$2.18$1.20
Coding indexNot benchmarked37.2
Independent measurements behind it03
Cost per solved taskNot computable$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than MiniMax M2.5 for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding. Pick R1 0528 for work measured by ALE-Bench or LMArena Text: coding, where it leads.

Which is cheaper, R1 0528 or MiniMax M2.5?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; MiniMax M2.5 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, R1 0528 or MiniMax M2.5?

MiniMax M2.5, with 205K tokens against 164K.

How many benchmarks is the R1 0528 vs MiniMax M2.5 comparison based on?

45 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and MiniMax M2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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