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Claude Opus 5.5 vs R1 0528

Claude Opus 5.5 leads R1 0528 on the Artificial Analysis Intelligence Index, 57.6 to 13.1, and R1 0528 costs 9.2x less per output token ($2.18 vs $20.00 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Claude Opus 5.5Anthropic
Coding
88.8
Overall
87.1
Output $/M
$20.00
40
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
0
vs boards won of 40 shared

Claude Opus 5.5 or R1 0528: which to pick

Only Claude Opus 5.5 has a coding score, 88.8 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding.

Pick R1 0528 for output tokens 9.2x cheaper ($2.18 vs $20.00 per million).

Shared results
40
Claude Opus 5.5 only
69
R1 0528 only
20
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
Claude Opus 5.5 88.8 from 5 benchmarks, R1 0528 not benchmarked.
Widest category
Intelligence, 44.5 points apart on average over 1 shared benchmark.
Widest single gap
ARC-AGI-2: Claude Opus 5.5 93.3% against R1 0528 1.1%, 92.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against R1 0528 $2.18 per million output tokens, 9.2x apart.
Context window
Claude Opus 5.5 takes 1M 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 5.5BarsR1 0528Ties
Coding30
Intelligence10
Reasoning70
Math30
Knowledge40
Web design70
General150
All shared boards400
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 0528Leader
Aider polyglotNot measured71.4%Only R1 0528 measured
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev1807Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Opus 5.5 measured
Code migration (Vals AI)66.7%Not measuredOnly Claude Opus 5.5 measured
ProgramBench (Vals AI)18.5%Not measuredOnly Claude Opus 5.5 measured
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%Not measuredOnly Claude Opus 5.5 measured
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%Not measuredOnly Claude Opus 5.5 measured
CyberBench (Vals AI)74.6%Not measuredOnly Claude Opus 5.5 measured
LiveCodeBench (Artificial Analysis run)Not measured77.0%Only R1 0528 measured
SciCode66.9%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured15.9%Only R1 0528 measured
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
WeirdMLNot measured41.6%Only R1 0528 measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.4804.1Claude Opus 5.5
LMArena Text: coding15451427Claude Opus 5.5
LMArena Text: software and IT15381435Claude Opus 5.5
LMArena WebDev: React1855Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: HTML1753Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
SciCode18.5%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 0528Leader
AA Intelligence Index57.613.1Claude Opus 5.5
Epoch Capabilities Index168.8Not measuredOnly Claude Opus 5.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
Agentic work benchmarks for Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 0528Leader
Design Arena: agents building web apps1316Not measuredOnly Claude Opus 5.5 measured
Design Arena: agents building mobile apps1308Not measuredOnly Claude Opus 5.5 measured
Design Arena: spreadsheets1368Not measuredOnly Claude Opus 5.5 measured
LiveBench research85.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench long agentic85.0%Not measuredOnly Claude Opus 5.5 measured
SREBench (Vals AI)33.6%Not measuredOnly Claude Opus 5.5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5.5 measured
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Claude Opus 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%Not measuredOnly Claude Opus 5.5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Opus 5.5 measured
Vals Science Index58.7%Not measuredOnly Claude Opus 5.5 measured
Time Horizon Index (Vals AI)91.3%Not measuredOnly Claude Opus 5.5 measured
CUA-bench (Vals AI)14.0%Not measuredOnly Claude Opus 5.5 measured
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
τ²-Bench TelecomNot measured36.5%Only R1 0528 measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
METR time horizonsNot measured53.8%Only R1 0528 measured
Remote Labor Index21.3%Not measuredOnly Claude Opus 5.5 measured
DeepResearch BenchNot measured35.1%Only R1 0528 measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235Not measuredOnly Claude Opus 5.5 measured
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
BrowseComp-PlusNot measured16.4%Only R1 0528 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 0528Leader
LiveBench reasoning92.2%Not measuredOnly Claude Opus 5.5 measured
MysteryMechanism (Vals AI)49.5%Not measuredOnly Claude Opus 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured81.3%Only R1 0528 measured
Humanity's Last Exam (Artificial Analysis run)61.4%15.8%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%76.3%Claude Opus 5.5
ARC-AGI98.5%21.2%Claude Opus 5.5
ARC-AGI-293.3%1.1%Claude Opus 5.5
SimpleBenchNot measured40.8%Only R1 0528 measured
Chess puzzles67.0%Not measuredOnly Claude Opus 5.5 measured
Mystery game puzzles71.0%Not measuredOnly Claude Opus 5.5 measured
EBR-bench71.4%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts15361415Claude Opus 5.5
LMArena Text: expert15491394Claude Opus 5.5
LMArena Text: hard prompts in English15351422Claude Opus 5.5
LMArena Vision: diagrams1345Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: homework1362Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 0528Leader
AA Math IndexNot measured76.0Only R1 0528 measured
AIME 2025 (Artificial Analysis run)Not measured76.0%Only R1 0528 measured
OTIS Mock AIME100.0%66.4%Claude Opus 5.5
FrontierMath, tiers 1 to 391.2%Not measuredOnly Claude Opus 5.5 measured
FrontierMath, tier 495.0%Not measuredOnly Claude Opus 5.5 measured
ProofBench100.0%Not measuredOnly Claude Opus 5.5 measured
MATH level 5Not measured96.6%Only R1 0528 measured
LMArena Text: math15181400Claude Opus 5.5
LMArena Text: mathematical work15161415Claude Opus 5.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 0528Leader
MedCode (Vals AI)49.8%Not measuredOnly Claude Opus 5.5 measured
MMLU Pro (Artificial Analysis run)Not measured84.9%Only R1 0528 measured
SimpleQA Verified72.2%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: science15241430Claude Opus 5.5
LMArena Text: medicine and healthcare15091445Claude Opus 5.5
LMArena Text: legal and government15181419Claude Opus 5.5
LMArena Text: business and finance14941402Claude Opus 5.5
FACTS Benchmark Suite65.3%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 10 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 0528Leader
Design Arena: websites13351149Claude Opus 5.5
Design Arena: UI components13851100Claude Opus 5.5
Design Arena: game dev14611097Claude Opus 5.5
Design Arena: data viz13971182Claude Opus 5.5
Design Arena: 3D14761110Claude Opus 5.5
Design Arena: all code categories13901138Claude Opus 5.5
Design Arena: SVG13291038Claude Opus 5.5
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 0528Leader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%Not measuredOnly Claude Opus 5.5 measured
Public Benefits Bench (Vals AI)70.6%Not measuredOnly Claude Opus 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Opus 5.5 measured
MedScribe (Vals AI)91.4%Not measuredOnly Claude Opus 5.5 measured
IFBenchNot measured39.6%Only R1 0528 measured
Long context reasoning (AA-LCR)84.7%55.7%Claude Opus 5.5
DTBench98.9%Not measuredOnly Claude Opus 5.5 measured
LMCA68.2%Not measuredOnly Claude Opus 5.5 measured
Fiction.LiveBenchNot measured75.0%Only R1 0528 measured
Creative writing (Lech Mazur)Not measured81.9%Only R1 0528 measured
Furniture assembly83.3%Not measuredOnly Claude Opus 5.5 measured
LMArena Text15161428Claude Opus 5.5
LMArena Text: instruction following15371382Claude Opus 5.5
LMArena Text: creative writing15351405Claude Opus 5.5
LMArena Vision1321Not measuredOnly Claude Opus 5.5 measured
LMArena Text: English15191437Claude Opus 5.5
LMArena Text: non-English15071412Claude Opus 5.5
LMArena Text: Chinese15821442Claude Opus 5.5
LMArena Text: GermanNot measured1404Only R1 0528 measured
LMArena Text: Japanese15341391Claude Opus 5.5
LMArena Text: KoreanNot measured1360Only R1 0528 measured
LMArena Text: French14931417Claude Opus 5.5
LMArena Text: Spanish15081411Claude Opus 5.5
LMArena Text: Russian15171423Claude Opus 5.5
LMArena Text: PolishNot measured1428Only R1 0528 measured
LMArena Text: multi-turn15011405Claude Opus 5.5
LMArena Text: longer queries15321391Claude Opus 5.5
LMArena Text: writing and language15321402Claude Opus 5.5
LMArena Text: entertainment and media15151400Claude Opus 5.5
LMArena Vision: English1317Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: creative writing1320Not measuredOnly Claude Opus 5.5 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 Claude Opus 5.5 and R1 0528
BenchmarkClaude Opus 5.5R1 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 5.5$0.014Fits in one request
R1 0528$0.0016Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
R1 0528$0.032Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits in one request
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 5.5 and R1 0528
SpecificationAnthropic Claude Opus 5.5DeepSeek R1 0528
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026May 28, 2025
Context window1M164K
Input $/Mtok$4.00$0.50
Output $/Mtok$20.00$2.18
Coding index88.8Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than R1 0528 for coding?

Only Claude Opus 5.5 has a coding score, 88.8 on the Vibe Coding Index; R1 0528 has none, so the two cannot be ranked on coding. Pick R1 0528 for output tokens 9.2x cheaper ($2.18 vs $20.00 per million).

Which is cheaper, Claude Opus 5.5 or R1 0528?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 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 5.5 or R1 0528?

Claude Opus 5.5, with 1M tokens against 164K.

How many benchmarks is the Claude Opus 5.5 vs R1 0528 comparison based on?

40 benchmarks have a result for both models as of October 22, 2026. Claude Opus 5.5's coding index rests on 5 independent benchmarks 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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