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Claude Opus 4.8 vs R1 0528

Updated October 21, 2026. 49 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.8Anthropic
Coding
66.0
Overall
41.8
Output $/M
$25.00
49
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
0
vs boards won of 49 shared

Decision reading

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 66.0 for Claude Opus 4.8, though on 1 benchmark against 2.

Pick Claude Opus 4.8 when the context window is larger, 1M against 164K tokens, or when what matters is Terminal-Bench Hard (Artificial Analysis run) or WeirdML, where it leads.

Shared results
49
Claude Opus 4.8 only
77
R1 0528 only
10
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 4.8 66.0 from 2 benchmarks, R1 0528 71.4 from 1 benchmark.
Widest category
Agentic work, 36.5 points apart on average over 2 shared benchmarks.
Widest single gap
ARC-AGI: Claude Opus 4.8 92.5% against R1 0528 21.2%, 71.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against R1 0528 $2.15 per million output tokens, 11.6x apart.
Context window
Claude Opus 4.8 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 4.8BarsR1 0528Ties
Coding40
Intelligence10
Agentic work20
Reasoning90
Math30
Knowledge40
Web design70
General190
All shared boards490
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Opus 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 0528Leader
Aider polyglotNot measured71.4%Only R1 0528 measured
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev1556Not measuredOnly Claude Opus 4.8 measured
AA Coding Index74.3Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Vals AI)87.8%Not measuredOnly Claude Opus 4.8 measured
SWE-bench Verified (Vals AI)88.6%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%Not measuredOnly Claude Opus 4.8 measured
Code migration (Vals AI)47.3%Not measuredOnly Claude Opus 4.8 measured
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%Not measuredOnly Claude Opus 4.8 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Artificial Analysis run)Not measured77.0%Only R1 0528 measured
SciCode54.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench Hard (Artificial Analysis run)58.3%15.9%Claude Opus 4.8
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%41.6%Claude Opus 4.8
ALE-BenchNot measured804.1Only R1 0528 measured
LMArena Text: coding14901427Claude Opus 4.8
LMArena Text: software and IT14881435Claude Opus 4.8
LMArena WebDev: React1557Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: HTML1543Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 0528Leader
AA Intelligence Index41.813.1Claude Opus 4.8
Epoch Capabilities Index159.0Not measuredOnly Claude Opus 4.8 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 0528Leader
AA Agentic Index41.9Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1237Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1238Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1221Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1227Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)69.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%36.5%Claude Opus 4.8
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
METR time horizonsNot measured53.8%Only R1 0528 measured
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%35.1%Claude Opus 4.8
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787Not measuredOnly Claude Opus 4.8 measured
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Opus 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 0528Leader
GPQA Diamond92.4%Not measuredOnly Claude Opus 4.8 measured
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%81.3%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%15.8%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%76.3%Claude Opus 4.8
ARC-AGI92.5%21.2%Claude Opus 4.8
ARC-AGI-272.1%1.1%Claude Opus 4.8
SimpleBench64.8%40.8%Claude Opus 4.8
Chess puzzles52.0%Not measuredOnly Claude Opus 4.8 measured
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821415Claude Opus 4.8
LMArena Text: expert15031394Claude Opus 4.8
LMArena Text: hard prompts in English14871422Claude Opus 4.8
LMArena Vision: diagrams1315Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 0528Leader
AA Math IndexNot measured76.0Only R1 0528 measured
AIME 2025 (Artificial Analysis run)Not measured76.0%Only R1 0528 measured
OTIS Mock AIME98.3%66.4%Claude Opus 4.8
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%Not measuredOnly Claude Opus 4.8 measured
MATH level 5Not measured96.6%Only R1 0528 measured
LMArena Text: math14861400Claude Opus 4.8
LMArena Text: mathematical work14971415Claude Opus 4.8
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 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 0528Leader
MMLU Pro89.6%Not measuredOnly Claude Opus 4.8 measured
LegalBench (Vals AI)83.6%Not measuredOnly Claude Opus 4.8 measured
CorpFin (Vals AI)66.7%Not measuredOnly Claude Opus 4.8 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Opus 4.8 measured
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%Not measuredOnly Claude Opus 4.8 measured
MMLU Pro (Artificial Analysis run)Not measured84.9%Only R1 0528 measured
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771430Claude Opus 4.8
LMArena Text: medicine and healthcare14641445Claude Opus 4.8
LMArena Text: legal and government14771419Claude Opus 4.8
LMArena Text: business and finance14581402Claude Opus 4.8
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Opus 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 0528Leader
Design Arena: websites12581149Claude Opus 4.8
Design Arena: UI components12561102Claude Opus 4.8
Design Arena: game dev12641098Claude Opus 4.8
Design Arena: data viz12401182Claude Opus 4.8
Design Arena: 3D12231111Claude Opus 4.8
Design Arena: all code categories12551139Claude Opus 4.8
Design Arena: SVG11941038Claude Opus 4.8
Design Arena: ASCII art1276Not measuredOnly Claude Opus 4.8 measured
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Claude Opus 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 0528Leader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%Not measuredOnly Claude Opus 4.8 measured
MedScribe (Vals AI)85.8%Not measuredOnly Claude Opus 4.8 measured
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%39.6%Claude Opus 4.8
Long context reasoning (AA-LCR)77.7%55.7%Claude Opus 4.8
DTBench94.9%Not measuredOnly Claude Opus 4.8 measured
LMCA57.5%Not measuredOnly Claude Opus 4.8 measured
Fiction.LiveBenchNot measured75.0%Only R1 0528 measured
Creative writing (Lech Mazur)Not measured81.9%Only R1 0528 measured
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611428Claude Opus 4.8
LMArena Text: instruction following14761382Claude Opus 4.8
LMArena Text: creative writing14541405Claude Opus 4.8
LMArena Vision1294Not measuredOnly Claude Opus 4.8 measured
LMArena Text: English14681437Claude Opus 4.8
LMArena Text: non-English14501412Claude Opus 4.8
LMArena Text: Chinese15061442Claude Opus 4.8
LMArena Text: German14721404Claude Opus 4.8
LMArena Text: Japanese14421391Claude Opus 4.8
LMArena Text: Korean14311360Claude Opus 4.8
LMArena Text: French14811417Claude Opus 4.8
LMArena Text: Spanish14651411Claude Opus 4.8
LMArena Text: Russian14741423Claude Opus 4.8
LMArena Text: Polish14591428Claude Opus 4.8
LMArena Text: multi-turn14761405Claude Opus 4.8
LMArena Text: longer queries14831391Claude Opus 4.8
LMArena Text: writing and language14611402Claude Opus 4.8
LMArena Text: entertainment and media14401400Claude Opus 4.8
LMArena Vision: English1293Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: Chinese1346Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: reading text1303Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: humor1282Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: creative writing1301Not measuredOnly Claude Opus 4.8 measured
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 9 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and R1 0528
BenchmarkClaude Opus 4.8R1 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 4.8$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 4.8$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 4.8$1.25Fits in one request
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 4.8 and R1 0528
SpecificationAnthropic Claude Opus 4.8DeepSeek R1 0528
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedMay 27, 2026May 28, 2025
Context window1M164K
Input $/Mtok$5.00$0.50
Output $/Mtok$25.00$2.15
Coding index66.071.4
Independent measurements behind it21
Cost per solved task$2.17Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than R1 0528 for coding?

Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 66.0 for Claude Opus 4.8, though on 1 benchmark against 2. Pick Claude Opus 4.8 when the context window is larger, 1M against 164K tokens, or when what matters is Terminal-Bench Hard (Artificial Analysis run) or WeirdML, where it leads.

Which is cheaper, Claude Opus 4.8 or R1 0528?

Claude Opus 4.8 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 4.8 only.

Which has the bigger context window, Claude Opus 4.8 or R1 0528?

Claude Opus 4.8, with 1M tokens against 164K.

How many benchmarks is the Claude Opus 4.8 vs R1 0528 comparison based on?

49 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8'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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