Enter opens the highlighted result. Esc closes.

R1 0528 vs GPT-5.1

Updated October 21, 2026. 53 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 GPT-5.1
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
1
GPT-5.1OpenAI
Coding
53.3
Overall
24.7
Output $/M
$10.00
52
vs boards won of 53 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 53.3 for GPT-5.1, though on 1 benchmark against 2.

Pick GPT-5.1 when the context window is larger, 400K against 164K tokens, or when what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel BGPT-5.1OpenAI53.3/1002 independent benchmarks$1.02 per solved task
Shared results
53
R1 0528 only
6
GPT-5.1 only
47
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, GPT-5.1 53.3 from 2 benchmarks.
Widest category
Agentic work, 26.5 points apart on average over 2 shared benchmarks.
Widest single gap
ARC-AGI: R1 0528 21.2% against GPT-5.1 72.8%, 51.6 points apart on a 0 to 100 scale.
Output price
R1 0528 $2.15 against GPT-5.1 $10.00 per million output tokens, 4.7x apart.
Context window
R1 0528 takes 164K tokens, GPT-5.1 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-5.1Ties
Coding05
Intelligence01
Agentic work02
Reasoning09
Math05
Knowledge05
Web design16
General019
All shared boards152
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for R1 0528 and GPT-5.1
BenchmarkR1 0528GPT-5.1Leader
Aider polyglot71.4%Not measuredOnly R1 0528 measured
SWE-bench VerifiedNot measured66.0%Only GPT-5.1 measured
LMArena WebDevNot measured1396Only GPT-5.1 measured
AA Coding IndexNot measured49.4Only GPT-5.1 measured
LiveCodeBench (Vals AI)Not measured86.5%Only GPT-5.1 measured
SWE-bench Verified (Vals AI)Not measured69.8%Only GPT-5.1 measured
Vibe Code Bench (Vals AI)Not measured24.6%Only GPT-5.1 measured
LiveCodeBench (Artificial Analysis run)77.0%86.8%GPT-5.1
Terminal-Bench Hard (Artificial Analysis run)15.9%45.5%GPT-5.1
Terminal-BenchNot measured47.6%Only GPT-5.1 measured
GSO-BenchNot measured13.7%Only GPT-5.1 measured
WeirdML41.6%60.8%GPT-5.1
ALE-Bench804.1Not measuredOnly R1 0528 measured
LMArena Text: coding14271453GPT-5.1
LMArena Text: software and IT14351454GPT-5.1
LMArena WebDev: ReactNot measured1307Only GPT-5.1 measured
LMArena WebDev: HTMLNot measured1405Only GPT-5.1 measured
LMArena WebDev: from an imageNot measured1421Only GPT-5.1 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 GPT-5.1
BenchmarkR1 0528GPT-5.1Leader
AA Intelligence Index13.124.7GPT-5.1
Epoch Capabilities IndexNot measured149.8Only GPT-5.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for R1 0528 and GPT-5.1
BenchmarkR1 0528GPT-5.1Leader
τ²-Bench Telecom36.5%81.9%GPT-5.1
METR time horizons53.8%Not measuredOnly R1 0528 measured
DeepResearch Bench35.1%42.8%GPT-5.1
Vending-Bench 2Not measured$1,473Only GPT-5.1 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for R1 0528 and GPT-5.1
BenchmarkR1 0528GPT-5.1Leader
GPQA DiamondNot measured86.6%Only GPT-5.1 measured
MMMU Pro (Vals AI)Not measured83.2%Only GPT-5.1 measured
GPQA Diamond (Artificial Analysis run)81.3%87.3%GPT-5.1
Humanity's Last Exam (Artificial Analysis run)15.8%28.5%GPT-5.1
GPQA Diamond (Epoch AI run)76.3%87.6%GPT-5.1
ARC-AGI21.2%72.8%GPT-5.1
ARC-AGI-21.1%17.6%GPT-5.1
SimpleBench40.8%53.2%GPT-5.1
Chess puzzlesNot measured42.0%Only GPT-5.1 measured
Mystery game puzzlesNot measured19.0%Only GPT-5.1 measured
VPCTNot measured58.7%Only GPT-5.1 measured
LMArena Text: hard prompts14151457GPT-5.1
LMArena Text: expert13941470GPT-5.1
LMArena Text: hard prompts in English14221462GPT-5.1
LMArena Vision: diagramsNot measured1264Only GPT-5.1 measured
LMArena Vision: homeworkNot measured1272Only GPT-5.1 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for R1 0528 and GPT-5.1
BenchmarkR1 0528GPT-5.1Leader
AIMENot measured93.3%Only GPT-5.1 measured
MGSM (Vals AI)Not measured93.0%Only GPT-5.1 measured
AA Math Index76.094.0GPT-5.1
AIME 2025 (Artificial Analysis run)76.0%94.0%GPT-5.1
OTIS Mock AIME66.4%88.6%GPT-5.1
MATH level 596.6%Not measuredOnly R1 0528 measured
LMArena Text: math14001446GPT-5.1
LMArena Text: mathematical work14151449GPT-5.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for R1 0528 and GPT-5.1
BenchmarkR1 0528GPT-5.1Leader
MMLU ProNot measured86.4%Only GPT-5.1 measured
LegalBench (Vals AI)Not measured85.7%Only GPT-5.1 measured
CaseLaw (Vals AI)Not measured73.4%Only GPT-5.1 measured
CorpFin (Vals AI)Not measured63.8%Only GPT-5.1 measured
TaxEval (Vals AI)Not measured74.9%Only GPT-5.1 measured
MortgageTax (Vals AI)Not measured61.4%Only GPT-5.1 measured
MedQA (Vals AI)Not measured96.4%Only GPT-5.1 measured
MedCode (Vals AI)Not measured52.7%Only GPT-5.1 measured
MMLU Pro (Artificial Analysis run)84.9%87.0%GPT-5.1
SimpleQA VerifiedNot measured48.0%Only GPT-5.1 measured
LMArena Text: science14301459GPT-5.1
LMArena Text: medicine and healthcare14451456GPT-5.1
LMArena Text: legal and government14191459GPT-5.1
LMArena Text: business and finance14021431GPT-5.1
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index16
Web design benchmarks for R1 0528 and GPT-5.1
BenchmarkR1 0528GPT-5.1Leader
Design Arena: websites11491187GPT-5.1
Design Arena: UI components11021166GPT-5.1
Design Arena: game dev10981179GPT-5.1
Design Arena: data viz11821204GPT-5.1
Design Arena: 3D11111061R1 0528
Design Arena: all code categories11391171GPT-5.1
Design Arena: SVG10381149GPT-5.1
Design Arena: ASCII artNot measured1118Only GPT-5.1 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 GPT-5.1
BenchmarkR1 0528GPT-5.1Leader
SAGE (Vals AI)Not measured43.2%Only GPT-5.1 measured
MedScribe (Vals AI)Not measured88.1%Only GPT-5.1 measured
IFBench39.6%72.9%GPT-5.1
Long context reasoning (AA-LCR)55.7%80.0%GPT-5.1
DTBenchNot measured90.1%Only GPT-5.1 measured
LMCANot measured43.9%Only GPT-5.1 measured
Fiction.LiveBench75.0%Not measuredOnly R1 0528 measured
Creative writing (Lech Mazur)81.9%Not measuredOnly R1 0528 measured
CL-benchNot measured23.7%Only GPT-5.1 measured
CL-bench LifeNot measured17.3%Only GPT-5.1 measured
LMArena Text14281443GPT-5.1
LMArena Text: instruction following13821443GPT-5.1
LMArena Text: creative writing14051427GPT-5.1
LMArena VisionNot measured1250Only GPT-5.1 measured
LMArena Text: English14371451GPT-5.1
LMArena Text: non-English14121431GPT-5.1
LMArena Text: Chinese14421495GPT-5.1
LMArena Text: German14041438GPT-5.1
LMArena Text: Japanese13911453GPT-5.1
LMArena Text: Korean13601401GPT-5.1
LMArena Text: French14171450GPT-5.1
LMArena Text: Spanish14111433GPT-5.1
LMArena Text: Russian14231435GPT-5.1
LMArena Text: Polish14281440GPT-5.1
LMArena Text: multi-turn14051450GPT-5.1
LMArena Text: longer queries13911448GPT-5.1
LMArena Text: writing and language14021428GPT-5.1
LMArena Text: entertainment and media14001415GPT-5.1
LMArena Vision: EnglishNot measured1252Only GPT-5.1 measured
LMArena Vision: ChineseNot measured1270Only GPT-5.1 measured
LMArena Vision: reading textNot measured1255Only GPT-5.1 measured
LMArena Vision: humorNot measured1263Only GPT-5.1 measured
LMArena Vision: captioningNot measured1252Only GPT-5.1 measured
LMArena Vision: recognizing thingsNot measured1232Only GPT-5.1 measured
LMArena Vision: creative writingNot measured1266Only GPT-5.1 measured
LMArena DocumentNot measured1403Only GPT-5.1 measured
Neither model has a result on the other 10 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-5.1
BenchmarkR1 0528GPT-5.1Leader
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-5.1$0.0063Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

R1 0528$0.031Fits in one request
GPT-5.1$0.092Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

R1 0528$0.121Exceeds the context window
GPT-5.1$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-5.1
SpecificationDeepSeek R1 0528OpenAI GPT-5.1
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMay 28, 2025November 13, 2025
Context window164K400K
Input $/Mtok$0.50$1.25
Output $/Mtok$2.15$10.00
Coding index71.453.3
Independent measurements behind it12
Cost per solved taskNot computable$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is R1 0528 better than GPT-5.1 for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 53.3 for GPT-5.1, though on 1 benchmark against 2. Pick GPT-5.1 when the context window is larger, 400K against 164K tokens, or when what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, R1 0528 or GPT-5.1?

R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; GPT-5.1 costs $1.25 and $10.00. Cost per solved task is known for GPT-5.1 only.

Which has the bigger context window, R1 0528 or GPT-5.1?

GPT-5.1, with 400K tokens against 164K.

How many benchmarks is the R1 0528 vs GPT-5.1 comparison based on?

53 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and GPT-5.1's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next