LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

R1 0528 vs o4 Mini

Updated October 21, 2026. 56 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 o4 Mini
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
39
o4 MiniOpenAI
Coding
68.6
Overall
16.7
Output $/M
$4.40
17
vs boards won of 56 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 68.6 for o4 Mini, though on 1 benchmark against 2.

Pick o4 Mini when the context window is larger, 200K against 164K tokens, or when what matters is Aider polyglot or LiveCodeBench (Artificial Analysis run), where it leads.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel Bo4 MiniOpenAI68.6/1002 independent benchmarksNo cost per solved task
Shared results
56
R1 0528 only
3
o4 Mini only
38
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, o4 Mini 68.6 from 2 benchmarks.
Widest category
Web design, 20.6 points apart on average over 6 shared benchmarks.
Widest single gap
ARC-AGI: R1 0528 21.2% against o4 Mini 58.7%, 37.5 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against o4 Mini $4.40 per million output tokens, 2.0x apart.
Context window
R1 0528 takes 164K tokens, o4 Mini 200K.

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 0528Barso4 MiniTies
Coding33
Intelligence01
Agentic work02
Reasoning54
Math24
Knowledge50
Web design60
General183
All shared boards3917
CodingLike-for-likeFour of these boards feed the Vibe Coding Index33
Coding benchmarks for R1 0528 and o4 Mini
BenchmarkR1 0528o4 MiniLeader
Aider polyglot71.4%72.0%o4 Mini
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
LiveCodeBench (Vals AI)Not measured82.2%Only o4 Mini measured
LiveCodeBench (Artificial Analysis run)77.0%85.9%o4 Mini
Terminal-Bench Hard (Artificial Analysis run)15.9%15.2%R1 0528
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdML41.6%52.6%o4 Mini
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271368R1 0528
LMArena Text: software and IT14351367R1 0528
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 o4 Mini
BenchmarkR1 0528o4 MiniLeader
AA Intelligence Index13.116.7o4 Mini
Epoch Capabilities IndexNot measured145.5Only o4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for R1 0528 and o4 Mini
BenchmarkR1 0528o4 MiniLeader
τ²-Bench Telecom36.5%55.6%o4 Mini
METR time horizons53.8%63.9%o4 Mini
DeepResearch Bench35.1%Not measuredOnly R1 0528 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index54
Reasoning benchmarks for R1 0528 and o4 Mini
BenchmarkR1 0528o4 MiniLeader
GPQA DiamondNot measured74.5%Only o4 Mini measured
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)81.3%78.4%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%16.5%o4 Mini
GPQA Diamond (Epoch AI run)76.3%79.6%o4 Mini
ARC-AGI21.2%58.7%o4 Mini
ARC-AGI-21.1%6.1%o4 Mini
SimpleBench40.8%38.7%R1 0528
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts14151351R1 0528
LMArena Text: expert13941343R1 0528
LMArena Text: hard prompts in English14221366R1 0528
LMArena Vision: diagramsNot measured1197Only o4 Mini measured
LMArena Vision: homeworkNot measured1234Only o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for R1 0528 and o4 Mini
BenchmarkR1 0528o4 MiniLeader
AIMENot measured83.7%Only o4 Mini measured
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math Index76.090.7o4 Mini
AIME 2025 (Artificial Analysis run)76.0%90.7%o4 Mini
OTIS Mock AIME66.4%81.7%o4 Mini
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 596.6%97.8%o4 Mini
LMArena Text: math14001389R1 0528
LMArena Text: mathematical work14151379R1 0528
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for R1 0528 and o4 Mini
BenchmarkR1 0528o4 MiniLeader
MMLU ProNot measured80.6%Only o4 Mini measured
LegalBench (Vals AI)Not measured79.2%Only o4 Mini measured
CorpFin (Vals AI)Not measured59.0%Only o4 Mini measured
TaxEval (Vals AI)Not measured74.8%Only o4 Mini measured
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)84.9%83.2%R1 0528
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science14301354R1 0528
LMArena Text: medicine and healthcare14451361R1 0528
LMArena Text: legal and government14191350R1 0528
LMArena Text: business and finance14021325R1 0528
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for R1 0528 and o4 Mini
BenchmarkR1 0528o4 MiniLeader
Design Arena: websites1149985R1 0528
Design Arena: UI components1102983R1 0528
Design Arena: game dev10981004R1 0528
Design Arena: data viz1182990R1 0528
Design Arena: 3D1111854R1 0528
Design Arena: all code categories1139977R1 0528
Design Arena: SVG1038Not measuredOnly R1 0528 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index183
General benchmarks for R1 0528 and o4 Mini
BenchmarkR1 0528o4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBench39.6%68.7%o4 Mini
Long context reasoning (AA-LCR)55.7%61.0%o4 Mini
DTBenchNot measured77.6%Only o4 Mini measured
LMCANot measured26.5%Only o4 Mini measured
Fiction.LiveBench75.0%77.8%o4 Mini
Creative writing (Lech Mazur)81.9%75.0%R1 0528
LMArena Text14281353R1 0528
LMArena Text: instruction following13821320R1 0528
LMArena Text: creative writing14051294R1 0528
LMArena VisionNot measured1194Only o4 Mini measured
LMArena Text: English14371367R1 0528
LMArena Text: non-English14121337R1 0528
LMArena Text: Chinese14421354R1 0528
LMArena Text: German14041336R1 0528
LMArena Text: Japanese13911308R1 0528
LMArena Text: Korean13601312R1 0528
LMArena Text: French14171364R1 0528
LMArena Text: Spanish14111346R1 0528
LMArena Text: Russian14231334R1 0528
LMArena Text: Polish14281358R1 0528
LMArena Text: multi-turn14051350R1 0528
LMArena Text: longer queries13911315R1 0528
LMArena Text: writing and language14021316R1 0528
LMArena Text: entertainment and media14001308R1 0528
LMArena Vision: EnglishNot measured1200Only o4 Mini measured
LMArena Vision: ChineseNot measured1218Only o4 Mini measured
LMArena Vision: reading textNot measured1197Only o4 Mini measured
LMArena Vision: humorNot measured1199Only o4 Mini measured
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writingNot measured1166Only o4 Mini measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and o4 Mini
BenchmarkR1 0528o4 MiniLeader
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
o4 Mini$0.0033Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
o4 Mini$0.068Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
o4 Mini$0.264Exceeds the context window

R1 0528 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 o4 Mini
SpecificationDeepSeek R1 0528OpenAI o4 Mini
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025April 16, 2025
Context window164K200K
Input $/Mtok$0.50$1.10
Output $/Mtok$2.15$4.40
Coding index71.468.6
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than o4 Mini for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 68.6 for o4 Mini, though on 1 benchmark against 2. Pick o4 Mini when the context window is larger, 200K against 164K tokens, or when what matters is Aider polyglot or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, R1 0528 or o4 Mini?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or o4 Mini?

o4 Mini, with 200K tokens against 164K.

How many benchmarks is the R1 0528 vs o4 Mini comparison based on?

56 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and o4 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next