Enter opens the highlighted result. Esc closes.

R1 0528 vs MiMo-V2.5-Pro

Updated October 21, 2026. 43 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 MiMo-V2.5-Pro
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
0
MiMo-V2.5-ProXiaomi
Coding
40.0
Overall
26.0
Output $/M
$0.609
43
vs boards won of 43 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 40.0 for MiMo-V2.5-Pro.

Pick MiMo-V2.5-Pro when output tokens cost 3.5x less, or when the context window is larger, 1.05M against 164K tokens.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel BMiMo-V2.5-ProXiaomi40.0/1001 independent benchmark$0.03 per solved task
Shared results
43
R1 0528 only
16
MiMo-V2.5-Pro only
27
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, MiMo-V2.5-Pro 40.0 from 1 benchmark.
Widest category
Agentic work, 57.6 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: R1 0528 36.5% against MiMo-V2.5-Pro 94.2%, 57.6 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against MiMo-V2.5-Pro $0.609 per million output tokens, 3.5x apart.
Context window
R1 0528 takes 164K tokens, MiMo-V2.5-Pro 1.05M.

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 0528BarsMiMo-V2.5-ProTies
Coding04
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
Web design07
General019
All shared boards043
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
Coding benchmarks for R1 0528 and MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
LMArena WebDevNot measured1480Only MiMo-V2.5-Pro measured
AA Coding IndexNot measured60.2Only MiMo-V2.5-Pro measured
LiveCodeBench (Vals AI)Not measured81.3%Only MiMo-V2.5-Pro measured
SWE-bench Verified (Vals AI)Not measured74.0%Only MiMo-V2.5-Pro measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)Not measured34.1%Only MiMo-V2.5-Pro measured
Code migration (Vals AI)Not measured21.6%Only MiMo-V2.5-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only MiMo-V2.5-Pro measured
LiveCodeBench (Artificial Analysis run)77.0%Not measuredOnly R1 0528 measured
SciCodeNot measured50.6%Only MiMo-V2.5-Pro measured
Terminal-Bench Hard (Artificial Analysis run)15.9%43.2%MiMo-V2.5-Pro
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1899.8MiMo-V2.5-Pro
LMArena Text: coding14271501MiMo-V2.5-Pro
LMArena Text: software and IT14351495MiMo-V2.5-Pro
LMArena WebDev: ReactNot measured1469Only MiMo-V2.5-Pro measured
LMArena WebDev: HTMLNot measured1473Only MiMo-V2.5-Pro measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
AA Intelligence Index13.126.0MiMo-V2.5-Pro
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 MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro measured
Finance Agent (Vals AI)Not measured41.5%Only MiMo-V2.5-Pro measured
Tax Agent Bench (Vals AI)Not measured11.5%Only MiMo-V2.5-Pro measured
Legal Research Bench (Vals AI)Not measured15.9%Only MiMo-V2.5-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured55.2%Only MiMo-V2.5-Pro measured
τ²-Bench Telecom36.5%94.2%MiMo-V2.5-Pro
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for R1 0528 and MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)81.3%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)15.8%35.7%MiMo-V2.5-Pro
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 prompts14151486MiMo-V2.5-Pro
LMArena Text: expert13941501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14221494MiMo-V2.5-Pro
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for R1 0528 and MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
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 measured22.0%Only MiMo-V2.5-Pro measured
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001481MiMo-V2.5-Pro
LMArena Text: mathematical work14151491MiMo-V2.5-Pro
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for R1 0528 and MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
MMLU ProNot measured84.6%Only MiMo-V2.5-Pro measured
LegalBench (Vals AI)Not measured77.1%Only MiMo-V2.5-Pro measured
CorpFin (Vals AI)Not measured61.4%Only MiMo-V2.5-Pro measured
TaxEval (Vals AI)Not measured73.8%Only MiMo-V2.5-Pro measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
MMLU Pro (Artificial Analysis run)84.9%Not measuredOnly R1 0528 measured
LMArena Text: science14301482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14451473MiMo-V2.5-Pro
LMArena Text: legal and government14191474MiMo-V2.5-Pro
LMArena Text: business and finance14021466MiMo-V2.5-Pro
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for R1 0528 and MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
Design Arena: websites11491267MiMo-V2.5-Pro
Design Arena: UI components11021248MiMo-V2.5-Pro
Design Arena: game dev10981261MiMo-V2.5-Pro
Design Arena: data viz11821257MiMo-V2.5-Pro
Design Arena: 3D11111244MiMo-V2.5-Pro
Design Arena: all code categories11391266MiMo-V2.5-Pro
Design Arena: SVG10381181MiMo-V2.5-Pro
Design Arena: ASCII artNot measured1157Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for R1 0528 and MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench39.6%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)55.7%79.7%MiMo-V2.5-Pro
DTBenchNot measured84.5%Only MiMo-V2.5-Pro measured
LMCANot measured29.5%Only MiMo-V2.5-Pro measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281464MiMo-V2.5-Pro
LMArena Text: instruction following13821475MiMo-V2.5-Pro
LMArena Text: creative writing14051438MiMo-V2.5-Pro
LMArena Text: English14371477MiMo-V2.5-Pro
LMArena Text: non-English14121448MiMo-V2.5-Pro
LMArena Text: Chinese14421507MiMo-V2.5-Pro
LMArena Text: German14041459MiMo-V2.5-Pro
LMArena Text: Japanese13911410MiMo-V2.5-Pro
LMArena Text: Korean13601435MiMo-V2.5-Pro
LMArena Text: French14171487MiMo-V2.5-Pro
LMArena Text: Spanish14111469MiMo-V2.5-Pro
LMArena Text: Russian14231449MiMo-V2.5-Pro
LMArena Text: Polish14281464MiMo-V2.5-Pro
LMArena Text: multi-turn14051476MiMo-V2.5-Pro
LMArena Text: longer queries13911481MiMo-V2.5-Pro
LMArena Text: writing and language14021451MiMo-V2.5-Pro
LMArena Text: entertainment and media14001438MiMo-V2.5-Pro
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and MiMo-V2.5-Pro
BenchmarkR1 0528MiMo-V2.5-ProLeader
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
MiMo-V2.5-Pro$0.0006Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
MiMo-V2.5-Pro$0.017Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
MiMo-V2.5-Pro$0.067Fits in one request

MiMo-V2.5-Pro 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 MiMo-V2.5-Pro
SpecificationDeepSeek R1 0528Xiaomi MiMo-V2.5-Pro
MakerDeepSeekXiaomi
WeightsOpen weightsOpen weights
ReleasedMay 28, 2025April 22, 2026
Context window164K1.05M
Input $/Mtok$0.50$0.3045
Output $/Mtok$2.15$0.609
Coding index71.440.0
Independent measurements behind it11
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than MiMo-V2.5-Pro for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 40.0 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro when output tokens cost 3.5x less, or when the context window is larger, 1.05M against 164K tokens.

Which is cheaper, R1 0528 or MiMo-V2.5-Pro?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; MiMo-V2.5-Pro costs $0.3045 and $0.609. Cost per solved task is known for MiMo-V2.5-Pro only.

Which has the bigger context window, R1 0528 or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 164K.

How many benchmarks is the R1 0528 vs MiMo-V2.5-Pro comparison based on?

43 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and MiMo-V2.5-Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next