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Claude Opus 4.5 vs R1 0528

Updated October 21, 2026. 54 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.5Anthropic
Coding
66.8
Overall
29.1
Output $/M
$25.00
53
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
1
vs boards won of 54 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 66.8 for Claude Opus 4.5, though on 1 benchmark against 2.

Pick Claude Opus 4.5 when the context window is larger, 200K against 164K tokens, or when what matters is LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Shared results
54
Claude Opus 4.5 only
51
R1 0528 only
5
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
Claude Opus 4.5 66.8 from 2 benchmarks, R1 0528 71.4 from 1 benchmark.
Widest category
Agentic work, 31.3 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI: Claude Opus 4.5 80.0% against R1 0528 21.2%, 58.8 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against R1 0528 $2.15 per million output tokens, 11.6x apart.
Context window
Claude Opus 4.5 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 4.5BarsR1 0528Ties
Coding50
Intelligence10
Agentic work30
Reasoning90
Math50
Knowledge41
Web design70
General190
All shared boards531
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 0528Leader
Aider polyglotNot measured71.4%Only R1 0528 measured
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev1494Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%77.0%Claude Opus 4.5
Terminal-Bench Hard (Artificial Analysis run)47.0%15.9%Claude Opus 4.5
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%41.6%Claude Opus 4.5
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
ALE-BenchNot measured804.1Only R1 0528 measured
LMArena Text: coding15031427Claude Opus 4.5
LMArena Text: software and IT14831435Claude Opus 4.5
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 0528Leader
AA Intelligence Index29.113.1Claude Opus 4.5
Epoch Capabilities Index150.1Not measuredOnly Claude Opus 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 0528Leader
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1181Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%36.5%Claude Opus 4.5
METR time horizons75.0%53.8%Claude Opus 4.5
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%35.1%Claude Opus 4.5
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 0528Leader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%81.3%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)30.1%15.8%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%76.3%Claude Opus 4.5
ARC-AGI80.0%21.2%Claude Opus 4.5
ARC-AGI-237.6%1.1%Claude Opus 4.5
SimpleBench62.0%40.8%Claude Opus 4.5
Chess puzzles14.0%Not measuredOnly Claude Opus 4.5 measured
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761415Claude Opus 4.5
LMArena Text: expert14871394Claude Opus 4.5
LMArena Text: hard prompts in English14821422Claude Opus 4.5
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 0528Leader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.376.0Claude Opus 4.5
AIME 2025 (Artificial Analysis run)91.3%76.0%Claude Opus 4.5
OTIS Mock AIME86.1%66.4%Claude Opus 4.5
FrontierMath, tiers 1 to 334.4%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%Not measuredOnly Claude Opus 4.5 measured
MATH level 5Not measured96.6%Only R1 0528 measured
LMArena Text: math14631400Claude Opus 4.5
LMArena Text: mathematical work14681415Claude Opus 4.5
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 0528Leader
MMLU Pro87.3%Not measuredOnly Claude Opus 4.5 measured
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%Not measuredOnly Claude Opus 4.5 measured
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%84.9%Claude Opus 4.5
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541430Claude Opus 4.5
LMArena Text: medicine and healthcare14441445R1 0528
LMArena Text: legal and government14591419Claude Opus 4.5
LMArena Text: business and finance14481402Claude Opus 4.5
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 0528Leader
Design Arena: websites12471149Claude Opus 4.5
Design Arena: UI components12381102Claude Opus 4.5
Design Arena: game dev12291098Claude Opus 4.5
Design Arena: data viz12431182Claude Opus 4.5
Design Arena: 3D12141111Claude Opus 4.5
Design Arena: all code categories12421139Claude Opus 4.5
Design Arena: SVG11801038Claude Opus 4.5
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 0528Leader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%39.6%Claude Opus 4.5
Long context reasoning (AA-LCR)77.3%55.7%Claude Opus 4.5
DTBench89.9%Not measuredOnly Claude Opus 4.5 measured
LMCA44.5%Not measuredOnly Claude Opus 4.5 measured
Fiction.LiveBenchNot measured75.0%Only R1 0528 measured
Creative writing (Lech Mazur)Not measured81.9%Only R1 0528 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511428Claude Opus 4.5
LMArena Text: instruction following14781382Claude Opus 4.5
LMArena Text: creative writing14451405Claude Opus 4.5
LMArena Text: English14611437Claude Opus 4.5
LMArena Text: non-English14381412Claude Opus 4.5
LMArena Text: Chinese14701442Claude Opus 4.5
LMArena Text: German14491404Claude Opus 4.5
LMArena Text: Japanese14171391Claude Opus 4.5
LMArena Text: Korean14241360Claude Opus 4.5
LMArena Text: French14711417Claude Opus 4.5
LMArena Text: Spanish14571411Claude Opus 4.5
LMArena Text: Russian14471423Claude Opus 4.5
LMArena Text: Polish14391428Claude Opus 4.5
LMArena Text: multi-turn14661405Claude Opus 4.5
LMArena Text: longer queries14791391Claude Opus 4.5
LMArena Text: writing and language14521402Claude Opus 4.5
LMArena Text: entertainment and media14341400Claude Opus 4.5
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and R1 0528
BenchmarkClaude Opus 4.5R1 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 4.5$0.018Fits in one request
R1 0528$0.0016Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request
R1 0528$0.031Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
R1 0528$0.121Exceeds 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 4.5 and R1 0528
SpecificationAnthropic Claude Opus 4.5DeepSeek R1 0528
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedNovember 24, 2025May 28, 2025
Context window200K164K
Input $/Mtok$5.00$0.50
Output $/Mtok$25.00$2.15
Coding index66.871.4
Independent measurements behind it21
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than R1 0528 for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 66.8 for Claude Opus 4.5, though on 1 benchmark against 2. Pick Claude Opus 4.5 when the context window is larger, 200K 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, Claude Opus 4.5 or R1 0528?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; R1 0528 costs $0.50 and $2.15. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or R1 0528?

Claude Opus 4.5, with 200K tokens against 164K.

How many benchmarks is the Claude Opus 4.5 vs R1 0528 comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5's coding index rests on 2 independent benchmarks and R1 0528's on 1. Where only one model has a result, the page says so instead of naming a winner.

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