Enter opens the highlighted result. Esc closes.

R1 0528 vs GPT-4o (2024-05-13)

R1 0528 leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 13.1 to 7.3, and R1 0528 costs 6.9x less per output token ($2.18 vs $15.00 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace R1 0528 Replace GPT-4o (2024-05-13)
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
37
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
0
vs boards won of 37 shared

R1 0528 or GPT-4o (2024-05-13): which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick R1 0528 for output tokens 6.9x cheaper ($2.18 vs $15.00 per million) and a larger context window (164K against 128K tokens).

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
R1 0528 only
26
GPT-4o (2024-05-13) only
7
Like-for-like categories
7 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, GPT-4o (2024-05-13) not benchmarked.
Widest category
Math, 36.7 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: R1 0528 66.4% against GPT-4o (2024-05-13) 6.3%, 60.1 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against GPT-4o (2024-05-13) $15.00 per million output tokens, 6.9x apart.
Context window
R1 0528 takes 164K tokens, GPT-4o (2024-05-13) 128K.

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 0528BarsGPT-4o (2024-05-13)Ties
Coding30
Intelligence10
Agentic work10
Reasoning60
Math40
Knowledge50
General170
All shared boards370
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for R1 0528 and GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
AA Coding IndexNot measured24.2Only GPT-4o (2024-05-13) measured
LiveCodeBench (Artificial Analysis run)77.0%33.4%R1 0528
Terminal-Bench Hard (Artificial Analysis run)15.9%Not measuredOnly R1 0528 measured
WeirdML41.6%Not measuredOnly R1 0528 measured
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271297R1 0528
LMArena Text: software and IT14351297R1 0528
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for R1 0528 and GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
AA Intelligence Index13.17.3R1 0528
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for R1 0528 and GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
τ²-Bench Telecom36.5%Not measuredOnly R1 0528 measured
METR time horizons53.8%40.8%R1 0528
BALROGNot measured32.3%Only GPT-4o (2024-05-13) measured
DeepResearch Bench35.1%Not measuredOnly R1 0528 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 index60
Reasoning benchmarks for R1 0528 and GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
GPQA DiamondNot measured50.2%Only GPT-4o (2024-05-13) measured
GPQA Diamond (Artificial Analysis run)81.3%52.6%R1 0528
Humanity's Last Exam (Artificial Analysis run)15.8%1.8%R1 0528
GPQA Diamond (Epoch AI run)76.3%48.9%R1 0528
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 prompts14151281R1 0528
LMArena Text: expert13941250R1 0528
LMArena Text: hard prompts in English14221293R1 0528
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for R1 0528 and GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
AA Math Index76.0Not measuredOnly R1 0528 measured
AIME 2025 (Artificial Analysis run)76.0%Not measuredOnly R1 0528 measured
OTIS Mock AIME66.4%6.3%R1 0528
MATH level 596.6%51.0%R1 0528
LMArena Text: math14001284R1 0528
LMArena Text: mathematical work14151284R1 0528
MathArena12.9%Not measuredOnly R1 0528 measured
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 GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
MMLU Pro (Artificial Analysis run)84.9%74.0%R1 0528
MMLUNot measured84.2%Only GPT-4o (2024-05-13) measured
LMArena Text: science14301295R1 0528
LMArena Text: medicine and healthcare14451278R1 0528
LMArena Text: legal and government14191314R1 0528
LMArena Text: business and finance14021262R1 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 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for R1 0528 and GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
Design Arena: websites1149Not measuredOnly R1 0528 measured
Design Arena: UI components1100Not measuredOnly R1 0528 measured
Design Arena: game dev1097Not measuredOnly R1 0528 measured
Design Arena: data viz1182Not measuredOnly R1 0528 measured
Design Arena: 3D1110Not measuredOnly R1 0528 measured
Design Arena: all code categories1138Not 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 index170
General benchmarks for R1 0528 and GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
IFBench39.6%Not measuredOnly R1 0528 measured
Long context reasoning (AA-LCR)55.7%Not measuredOnly R1 0528 measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
LMArena Text14281300R1 0528
LMArena Text: instruction following13821278R1 0528
LMArena Text: creative writing14051291R1 0528
LMArena VisionNot measured1137Only GPT-4o (2024-05-13) measured
LMArena Text: English14371312R1 0528
LMArena Text: non-English14121283R1 0528
LMArena Text: Chinese14421277R1 0528
LMArena Text: German14041283R1 0528
LMArena Text: Japanese13911257R1 0528
LMArena Text: Korean13601234R1 0528
LMArena Text: French14171304R1 0528
LMArena Text: Spanish14111292R1 0528
LMArena Text: Russian14231285R1 0528
LMArena Text: Polish14281365R1 0528
LMArena Text: multi-turn14051302R1 0528
LMArena Text: longer queries13911288R1 0528
LMArena Text: writing and language14021298R1 0528
LMArena Text: entertainment and media14001289R1 0528
LMArena Vision: EnglishNot measured1147Only GPT-4o (2024-05-13) measured
LMArena Vision: ChineseNot measured1132Only GPT-4o (2024-05-13) measured
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for R1 0528 and GPT-4o (2024-05-13)
BenchmarkR1 0528GPT-4o (2024-05-13)Leader
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
GPT-4o (2024-05-13)$0.013Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
GPT-4o (2024-05-13)$0.295Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
GPT-4o (2024-05-13)$1.15Exceeds 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 GPT-4o (2024-05-13)
SpecificationDeepSeek R1 0528OpenAI GPT-4o (2024-05-13)
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025May 13, 2024
Context window164K128K
Input $/Mtok$0.50$5.00
Output $/Mtok$2.18$15.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than GPT-4o (2024-05-13) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for output tokens 6.9x cheaper ($2.18 vs $15.00 per million) and a larger context window (164K against 128K tokens).

Which is cheaper, R1 0528 or GPT-4o (2024-05-13)?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; GPT-4o (2024-05-13) costs $5.00 and $15.00. Cost per solved task is known for neither of them.

Which has the bigger context window, R1 0528 or GPT-4o (2024-05-13)?

R1 0528, with 164K tokens against 128K.

How many benchmarks is the R1 0528 vs GPT-4o (2024-05-13) comparison based on?

37 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and GPT-4o (2024-05-13)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next