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R1 0528 vs GPT-5

GPT-5 leads R1 0528 on the Artificial Analysis Intelligence Index, 23.0 to 13.1, and R1 0528 costs 4.6x less per output token ($2.18 vs $10.00 per million). Updated October 21, 2026; 60 benchmarks have a result for both.

Replace R1 0528 Replace GPT-5
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
18
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
42
vs boards won of 60 shared

R1 0528 or GPT-5: which to pick

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding.

Pick R1 0528 for output tokens 4.6x cheaper ($2.18 vs $10.00 per million) and work measured by LMArena Text: software and IT or LMArena Text: hard prompts, where it leads.

Model AR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved task
Shared results
60
R1 0528 only
0
GPT-5 only
53
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, GPT-5 38.8 from 3 benchmarks.
Widest category
Agentic work, 36.0 points apart on average over 4 shared benchmarks.
Widest single gap
BrowseComp-Plus: R1 0528 16.4% against GPT-5 80.0%, 63.6 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.18 against GPT-5 $10.00 per million output tokens, 4.6x apart.
Context window
R1 0528 takes 164K tokens, GPT-5 400K.

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-5Ties
Coding16
Intelligence01
Agentic work04
Reasoning27
Math15
Knowledge32
Web design16
General1011
All shared boards1842
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
Coding benchmarks for R1 0528 and GPT-5
BenchmarkR1 0528GPT-5Leader
Aider polyglot71.4%88.0%GPT-5
SWE-bench VerifiedNot measured74.4%Only GPT-5 measured
LMArena WebDevNot measured1418Only GPT-5 measured
AA Coding IndexNot measured37.8Only GPT-5 measured
LiveCodeBench (Vals AI)Not measured85.9%Only GPT-5 measured
SWE-bench Verified (Vals AI)Not measured69.0%Only GPT-5 measured
Vibe Code Bench (Vals AI)Not measured20.1%Only GPT-5 measured
LiveCodeBench (Artificial Analysis run)77.0%84.6%GPT-5
Terminal-Bench Hard (Artificial Analysis run)15.9%37.9%GPT-5
Terminal-BenchNot measured49.6%Only GPT-5 measured
GSO-BenchNot measured6.9%Only GPT-5 measured
WeirdML41.6%60.7%GPT-5
ALE-Bench804.1807.6GPT-5
LMArena Text: coding14271436GPT-5
LMArena Text: software and IT14351420R1 0528
LMArena WebDev: HTMLNot measured1427Only GPT-5 measured
SciCodeNot measured0.0%Only GPT-5 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for R1 0528 and GPT-5
BenchmarkR1 0528GPT-5Leader
AA Intelligence Index13.123.0GPT-5
Epoch Capabilities IndexNot measured150.0Only GPT-5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for R1 0528 and GPT-5
BenchmarkR1 0528GPT-5Leader
τ²-Bench Telecom36.5%86.5%GPT-5
METR time horizons53.8%69.6%GPT-5
Remote Labor IndexNot measured1.7%Only GPT-5 measured
GDPvalNot measured34.8%Only GPT-5 measured
BALROGNot measured32.8%Only GPT-5 measured
DeepResearch Bench35.1%49.6%GPT-5
BrowseComp-Plus16.4%80.0%GPT-5
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index27
Reasoning benchmarks for R1 0528 and GPT-5
BenchmarkR1 0528GPT-5Leader
GPQA DiamondNot measured85.6%Only GPT-5 measured
MMMU Pro (Vals AI)Not measured81.5%Only GPT-5 measured
GPQA Diamond (Artificial Analysis run)81.3%85.4%GPT-5
Humanity's Last Exam (Artificial Analysis run)15.8%28.5%GPT-5
GPQA Diamond (Epoch AI run)76.3%86.2%GPT-5
ARC-AGI21.2%65.7%GPT-5
ARC-AGI-21.1%9.9%GPT-5
SimpleBench40.8%56.7%GPT-5
Chess puzzlesNot measured36.0%Only GPT-5 measured
Mystery game puzzlesNot measured23.0%Only GPT-5 measured
EBR-benchNot measured12.7%Only GPT-5 measured
VPCTNot measured66.0%Only GPT-5 measured
LMArena Text: hard prompts14151415R1 0528
LMArena Text: expert13941419GPT-5
LMArena Text: hard prompts in English14221419R1 0528
LMArena Vision: diagramsNot measured1252Only GPT-5 measured
LMArena Vision: homeworkNot measured1278Only GPT-5 measured
Kagi LLM BenchmarkNot measured72.7%Only GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for R1 0528 and GPT-5
BenchmarkR1 0528GPT-5Leader
AIMENot measured93.4%Only GPT-5 measured
MATH 500 (Vals AI)Not measured96.0%Only GPT-5 measured
MGSM (Vals AI)Not measured92.8%Only GPT-5 measured
AA Math Index76.094.3GPT-5
AIME 2025 (Artificial Analysis run)76.0%94.3%GPT-5
OTIS Mock AIME66.4%91.4%GPT-5
FrontierMath, tiers 1 to 3Not measured55.4%Only GPT-5 measured
FrontierMath, tier 4Not measured22.0%Only GPT-5 measured
ProofBenchNot measured18.0%Only GPT-5 measured
MATH level 596.6%98.1%GPT-5
LMArena Text: math14001407GPT-5
LMArena Text: mathematical work14151405R1 0528
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for R1 0528 and GPT-5
BenchmarkR1 0528GPT-5Leader
MMLU ProNot measured86.5%Only GPT-5 measured
LegalBench (Vals AI)Not measured86.0%Only GPT-5 measured
CaseLaw (Vals AI)Not measured66.5%Only GPT-5 measured
CorpFin (Vals AI)Not measured61.1%Only GPT-5 measured
TaxEval (Vals AI)Not measured73.4%Only GPT-5 measured
MortgageTax (Vals AI)Not measured65.5%Only GPT-5 measured
MedQA (Vals AI)Not measured96.3%Only GPT-5 measured
MedCode (Vals AI)Not measured49.6%Only GPT-5 measured
MMLU Pro (Artificial Analysis run)84.9%87.1%GPT-5
SimpleQA VerifiedNot measured50.1%Only GPT-5 measured
GeoBenchNot measured81.0%Only GPT-5 measured
LMArena Text: science14301416R1 0528
LMArena Text: medicine and healthcare14451413R1 0528
LMArena Text: legal and government14191431GPT-5
LMArena Text: business and finance14021400R1 0528
FACTS Benchmark SuiteNot measured56.5%Only GPT-5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for R1 0528 and GPT-5
BenchmarkR1 0528GPT-5Leader
Design Arena: websites11491184GPT-5
Design Arena: UI components11031180GPT-5
Design Arena: game dev10971185GPT-5
Design Arena: data viz11821221GPT-5
Design Arena: 3D11111056R1 0528
Design Arena: all code categories11391168GPT-5
Design Arena: SVG10391189GPT-5
Design Arena: ASCII artNot measured1141Only GPT-5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1011
General benchmarks for R1 0528 and GPT-5
BenchmarkR1 0528GPT-5Leader
SAGE (Vals AI)Not measured43.7%Only GPT-5 measured
MedScribe (Vals AI)Not measured83.7%Only GPT-5 measured
IFBench39.6%73.1%GPT-5
Long context reasoning (AA-LCR)55.7%78.2%GPT-5
DTBenchNot measured90.7%Only GPT-5 measured
LMCANot measured40.0%Only GPT-5 measured
Fiction.LiveBench75.0%97.2%GPT-5
Creative writing (Lech Mazur)81.9%86.0%GPT-5
LMArena Text14281406R1 0528
LMArena Text: instruction following13821388GPT-5
LMArena Text: creative writing14051365R1 0528
LMArena VisionNot measured1232Only GPT-5 measured
LMArena Text: English14371409R1 0528
LMArena Text: non-English14121397R1 0528
LMArena Text: Chinese14421422R1 0528
LMArena Text: German14041416GPT-5
LMArena Text: Japanese13911409GPT-5
LMArena Text: Korean13601360GPT-5
LMArena Text: French14171409R1 0528
LMArena Text: Spanish14111399R1 0528
LMArena Text: Russian14231407R1 0528
LMArena Text: Polish14281431GPT-5
LMArena Text: multi-turn14051426GPT-5
LMArena Text: longer queries13911399GPT-5
LMArena Text: writing and language14021384R1 0528
LMArena Text: entertainment and media14001379R1 0528
LMArena Vision: EnglishNot measured1231Only GPT-5 measured
LMArena Vision: ChineseNot measured1267Only GPT-5 measured
LMArena Vision: reading textNot measured1246Only GPT-5 measured
LMArena Vision: humorNot measured1219Only GPT-5 measured
LMArena Vision: captioningNot measured1212Only GPT-5 measured
LMArena Vision: recognizing thingsNot measured1263Only GPT-5 measured
LMArena Vision: creative writingNot measured1210Only GPT-5 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 GPT-5
BenchmarkR1 0528GPT-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
GPT-5$0.0063Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.032Fits in one request
GPT-5$0.092Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.122Exceeds the context window
GPT-5$0.350Fits in one request

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-5
SpecificationDeepSeek R1 0528OpenAI GPT-5
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025August 7, 2025
Context window164K400K
Input $/Mtok$0.50$1.25
Output $/Mtok$2.18$10.00
Coding indexNot benchmarked38.8
Independent measurements behind it03
Cost per solved taskNot computable$0.39
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than GPT-5 for coding?

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding. Pick R1 0528 for output tokens 4.6x cheaper ($2.18 vs $10.00 per million) and work measured by LMArena Text: software and IT or LMArena Text: hard prompts, where it leads.

Which is cheaper, R1 0528 or GPT-5?

R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; GPT-5 costs $1.25 and $10.00. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, R1 0528 or GPT-5?

GPT-5, with 400K tokens against 164K.

How many benchmarks is the R1 0528 vs GPT-5 comparison based on?

60 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 0 independent benchmarks and GPT-5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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