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R1 0528 vs o1

Updated October 21, 2026. 46 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 o1
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
36
o1OpenAI
Coding
61.7
Overall
15.2
Output $/M
$60.00
10
vs boards won of 46 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 61.7 for o1.

Pick o1 when the context window is larger, 200K against 164K tokens, or when what matters is WeirdML or AA Intelligence Index, where it leads.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel Bo1OpenAI61.7/1001 independent benchmarkNo cost per solved task
Shared results
46
R1 0528 only
13
o1 only
22
Like-for-like categories
7 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, o1 61.7 from 1 benchmark.
Widest category
Agentic work, 14.4 points apart on average over 2 shared benchmarks.
Widest single gap
IFBench: R1 0528 39.6% against o1 70.3%, 30.7 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against o1 $60.00 per million output tokens, 27.9x apart.
Context window
R1 0528 takes 164K tokens, o1 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 0528Barso1Ties
Coding51
Intelligence01
Agentic work11
Reasoning62
Math31
Knowledge50
General164
All shared boards3610
CodingLike-for-likeFour of these boards feed the Vibe Coding Index51
Coding benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
Aider polyglot71.4%61.7%R1 0528
AA Coding IndexNot measured39.7Only o1 measured
LiveCodeBench (Vals AI)Not measured50.3%Only o1 measured
LiveCodeBench (Artificial Analysis run)77.0%67.9%R1 0528
Terminal-Bench Hard (Artificial Analysis run)15.9%12.9%R1 0528
WeirdML41.6%46.1%o1
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271367R1 0528
LMArena Text: software and IT14351366R1 0528
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
AA Intelligence Index13.115.2o1
Epoch Capabilities IndexNot measured141.7Only o1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
τ²-Bench Telecom36.5%62.6%o1
METR time horizons53.8%51.1%R1 0528
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 index62
Reasoning benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
GPQA DiamondNot measured73.2%Only o1 measured
MMMU Pro (Vals AI)Not measured77.4%Only o1 measured
GPQA Diamond (Artificial Analysis run)81.3%74.7%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%7.0%R1 0528
GPQA Diamond (Epoch AI run)76.3%76.8%o1
ARC-AGI21.2%30.7%o1
ARC-AGI-21.1%Not measuredOnly R1 0528 measured
SimpleBench40.8%40.1%R1 0528
Chess puzzlesNot measured10.0%Only o1 measured
VPCTNot measured37.0%Only o1 measured
LMArena Text: hard prompts14151371R1 0528
LMArena Text: expert13941361R1 0528
LMArena Text: hard prompts in English14221372R1 0528
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index31
Math benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
AIMENot measured71.5%Only o1 measured
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)Not measured89.3%Only o1 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%73.3%o1
FrontierMath, tiers 1 to 3Not measured14.7%Only o1 measured
MATH level 596.6%94.7%R1 0528
LMArena Text: math14001388R1 0528
LMArena Text: mathematical work14151390R1 0528
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
MMLU ProNot measured83.5%Only o1 measured
LegalBench (Vals AI)Not measured80.4%Only o1 measured
TaxEval (Vals AI)Not measured74.3%Only o1 measured
MedQA (Vals AI)Not measured96.5%Only o1 measured
MMLU Pro (Artificial Analysis run)84.9%84.1%R1 0528
SimpleQA VerifiedNot measured41.1%Only o1 measured
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science14301369R1 0528
LMArena Text: medicine and healthcare14451355R1 0528
LMArena Text: legal and government14191368R1 0528
LMArena Text: business and finance14021328R1 0528
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
Design Arena: websites1149Not measuredOnly R1 0528 measured
Design Arena: UI components1102Not measuredOnly R1 0528 measured
Design Arena: game dev1098Not measuredOnly R1 0528 measured
Design Arena: data viz1182Not measuredOnly R1 0528 measured
Design Arena: 3D1111Not measuredOnly R1 0528 measured
Design Arena: all code categories1139Not measuredOnly R1 0528 measured
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 index164
General benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
IFBench39.6%70.3%o1
Long context reasoning (AA-LCR)55.7%65.0%o1
DTBenchNot measured74.7%Only o1 measured
LMCANot measured22.3%Only o1 measured
Fiction.LiveBench75.0%83.3%o1
Creative writing (Lech Mazur)81.9%70.2%R1 0528
LMArena Text14281366R1 0528
LMArena Text: instruction following13821367R1 0528
LMArena Text: creative writing14051347R1 0528
LMArena VisionNot measured1168Only o1 measured
LMArena Text: English14371372R1 0528
LMArena Text: non-English14121358R1 0528
LMArena Text: Chinese14421394R1 0528
LMArena Text: German14041337R1 0528
LMArena Text: Japanese13911346R1 0528
LMArena Text: Korean13601396o1
LMArena Text: French14171344R1 0528
LMArena Text: Spanish14111345R1 0528
LMArena Text: Russian14231356R1 0528
LMArena Text: Polish1428Not measuredOnly R1 0528 measured
LMArena Text: multi-turn14051355R1 0528
LMArena Text: longer queries13911378R1 0528
LMArena Text: writing and language14021360R1 0528
LMArena Text: entertainment and media14001358R1 0528
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and o1
BenchmarkR1 0528o1Leader
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
o1$0.045Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
o1$0.930Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
o1$3.60Exceeds 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 o1
SpecificationDeepSeek R1 0528OpenAI o1
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025December 17, 2024
Context window164K200K
Input $/Mtok$0.50$15.00
Output $/Mtok$2.15$60.00
Coding index71.461.7
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than o1 for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 61.7 for o1. Pick o1 when the context window is larger, 200K against 164K tokens, or when what matters is WeirdML or AA Intelligence Index, where it leads.

Which is cheaper, R1 0528 or o1?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or o1?

o1, with 200K tokens against 164K.

How many benchmarks is the R1 0528 vs o1 comparison based on?

46 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and o1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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