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Claude Opus 4.1 vs R1 0528

Claude Opus 4.1 leads R1 0528 on the Artificial Analysis Intelligence Index, 22.8 to 13.1, and R1 0528 costs 34.4x less per output token ($2.18 vs $75.00 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace R1 0528
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
32
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
11
vs boards won of 43 shared

Claude Opus 4.1 or R1 0528: which to pick

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

Pick Claude Opus 4.1 for a larger context window (200K against 164K tokens) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BR1 0528DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
Claude Opus 4.1 only
30
R1 0528 only
17
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
Claude Opus 4.1 not benchmarked, R1 0528 not benchmarked.
Widest category
Agentic work, 13.1 points apart on average over 2 shared benchmarks.
Widest single gap
SimpleBench: Claude Opus 4.1 60.0% against R1 0528 40.8%, 19.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against R1 0528 $2.18 per million output tokens, 34.4x apart.
Context window
Claude Opus 4.1 takes 200K tokens, R1 0528 164K.

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
CategoryClaude Opus 4.1BarsR1 0528Ties
Coding30
Intelligence10
Agentic work20
Reasoning50
Math30
Knowledge22
Web design61
General108
All shared boards3211
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
Aider polyglotNot measured71.4%Only R1 0528 measured
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Artificial Analysis run)Not measured77.0%Only R1 0528 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured15.9%Only R1 0528 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%41.6%Claude Opus 4.1
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
ALE-BenchNot measured804.1Only R1 0528 measured
LMArena Text: coding14791427Claude Opus 4.1
LMArena Text: software and IT14561435Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
AA Intelligence Index22.813.1Claude Opus 4.1
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
τ²-Bench TelecomNot measured36.5%Only R1 0528 measured
METR time horizons66.8%53.8%Claude Opus 4.1
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%35.1%Claude Opus 4.1
BrowseComp-PlusNot measured16.4%Only 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 index50
Reasoning benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 measured
GPQA Diamond (Artificial Analysis run)Not measured81.3%Only R1 0528 measured
Humanity's Last Exam (Artificial Analysis run)Not measured15.8%Only R1 0528 measured
GPQA Diamond (Epoch AI run)77.3%76.3%Claude Opus 4.1
ARC-AGINot measured21.2%Only R1 0528 measured
ARC-AGI-2Not measured1.1%Only R1 0528 measured
SimpleBench60.0%40.8%Claude Opus 4.1
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421415Claude Opus 4.1
LMArena Text: expert14381394Claude Opus 4.1
LMArena Text: hard prompts in English14511422Claude Opus 4.1
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
AA Math IndexNot measured76.0Only R1 0528 measured
AIME 2025 (Artificial Analysis run)Not measured76.0%Only R1 0528 measured
OTIS Mock AIME68.9%66.4%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
MATH level 5Not measured96.6%Only R1 0528 measured
LMArena Text: math14311400Claude Opus 4.1
LMArena Text: mathematical work14341415Claude Opus 4.1
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
MMLU Pro (Artificial Analysis run)Not measured84.9%Only R1 0528 measured
LMArena Text: science14221430R1 0528
LMArena Text: medicine and healthcare14161445R1 0528
LMArena Text: legal and government14211419Claude Opus 4.1
LMArena Text: business and finance14061402Claude Opus 4.1
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index61
Web design benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
Design Arena: websites11761149Claude Opus 4.1
Design Arena: UI components11621100Claude Opus 4.1
Design Arena: game dev11711097Claude Opus 4.1
Design Arena: data viz11661182R1 0528
Design Arena: 3D11521110Claude Opus 4.1
Design Arena: all code categories11701138Claude Opus 4.1
Design Arena: SVG11521038Claude Opus 4.1
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index108
General benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured39.6%Only R1 0528 measured
Long context reasoning (AA-LCR)Not measured55.7%Only R1 0528 measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Fiction.LiveBenchNot measured75.0%Only R1 0528 measured
Creative writing (Lech Mazur)84.7%81.9%Claude Opus 4.1
LMArena Text14191428R1 0528
LMArena Text: instruction following14351382Claude Opus 4.1
LMArena Text: creative writing14121405Claude Opus 4.1
LMArena Text: English14331437R1 0528
LMArena Text: non-English14051412R1 0528
LMArena Text: Chinese14271442R1 0528
LMArena Text: German14131404Claude Opus 4.1
LMArena Text: Japanese13771391R1 0528
LMArena Text: Korean13811360Claude Opus 4.1
LMArena Text: French14331417Claude Opus 4.1
LMArena Text: Spanish14481411Claude Opus 4.1
LMArena Text: Russian14221423R1 0528
LMArena Text: Polish14131428R1 0528
LMArena Text: multi-turn14441405Claude Opus 4.1
LMArena Text: longer queries14551391Claude Opus 4.1
LMArena Text: writing and language14181402Claude Opus 4.1
LMArena Text: entertainment and media13981400R1 0528
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and R1 0528
BenchmarkClaude Opus 4.1R1 0528Leader
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

Claude Opus 4.1$0.052Fits in one request
R1 0528$0.0016Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
R1 0528$0.032Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
R1 0528$0.122Exceeds 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 Claude Opus 4.1 and R1 0528
SpecificationAnthropic Claude Opus 4.1DeepSeek R1 0528
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025May 28, 2025
Context window200K164K
Input $/Mtok$15.00$0.50
Output $/Mtok$75.00$2.18
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than R1 0528 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for a larger context window (200K against 164K tokens) and work measured by LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Claude Opus 4.1 or R1 0528?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; R1 0528 costs $0.50 and $2.18. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 4.1 or R1 0528?

Claude Opus 4.1, with 200K tokens against 164K.

How many benchmarks is the Claude Opus 4.1 vs R1 0528 comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and R1 0528's on 0. Where only one model has a result, the page says so instead of naming a winner.

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