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Claude Fable 5 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 Fable 5Anthropic
Coding
82.1
Overall
49.6
Output $/M
$50.00
49
R1 0528DeepSeek
Coding
71.4
Overall
13.1
Output $/M
$2.15
0
vs boards won of 49 shared

Decision reading

Pick Claude Fable 5 for coding: it scores 82.1 on the Vibe Coding Index against 71.4 for R1 0528.

Pick R1 0528 when output tokens cost 23.3x less.

Shared results
49
Claude Fable 5 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 Fable 5 82.1 from 2 benchmarks, R1 0528 71.4 from 1 benchmark.
Widest category
Agentic work, 62.0 points apart on average over 1 shared benchmark.
Widest single gap
ARC-AGI-2: Claude Fable 5 89.2% against R1 0528 1.1%, 88.0 points apart on a 0 to 100 scale.
Output price
Claude Fable 5 $50.00 against R1 0528 $2.15 per million output tokens, 23.3x apart.
Context window
Claude Fable 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 Fable 5BarsR1 0528Ties
Coding50
Intelligence10
Agentic work10
Reasoning90
Math30
Knowledge40
Web design70
General190
All shared boards490
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
Coding benchmarks for Claude Fable 5 and R1 0528
BenchmarkClaude Fable 5R1 0528Leader
Aider polyglotNot measured71.4%Only R1 0528 measured
LiveBench coding98.3%Not measuredOnly Claude Fable 5 measured
LMArena WebDev1624Not measuredOnly Claude Fable 5 measured
AA Coding Index76.5Not measuredOnly Claude Fable 5 measured
LiveCodeBench (Vals AI)89.8%Not measuredOnly Claude Fable 5 measured
SWE-bench Verified (Vals AI)95.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 4 (Vals AI)41.4%Not measuredOnly Claude Fable 5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Fable 5 measured
Code migration (Vals AI)55.1%Not measuredOnly Claude Fable 5 measured
ProgramBench (Vals AI)2.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench 2.1 (Vals AI)80.5%Not measuredOnly Claude Fable 5 measured
LiveCodeBench (Artificial Analysis run)Not measured77.0%Only R1 0528 measured
SciCode61.0%Not measuredOnly Claude Fable 5 measured
Terminal-Bench Hard (Artificial Analysis run)62.9%15.9%Claude Fable 5
FrontierCode53.5%Not measuredOnly Claude Fable 5 measured
FrontierSWE47.0%Not measuredOnly Claude Fable 5 measured
GSO-Bench78.4%Not measuredOnly Claude Fable 5 measured
WeirdML91.9%41.6%Claude Fable 5
MirrorCode63.9%Not measuredOnly Claude Fable 5 measured
ALE-Bench2041.3804.1Claude Fable 5
LMArena Text: coding15181427Claude Fable 5
LMArena Text: software and IT15131435Claude Fable 5
LMArena WebDev: React1631Not measuredOnly Claude Fable 5 measured
LMArena WebDev: HTML1651Not measuredOnly Claude Fable 5 measured
LMArena WebDev: from an image1623Not measuredOnly Claude Fable 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 Fable 5 and R1 0528
BenchmarkClaude Fable 5R1 0528Leader
AA Intelligence Index49.613.1Claude Fable 5
Epoch Capabilities Index163.4Not measuredOnly Claude Fable 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Fable 5 and R1 0528
BenchmarkClaude Fable 5R1 0528Leader
AA Agentic Index50.7Not measuredOnly Claude Fable 5 measured
Design Arena: agents building web apps1261Not measuredOnly Claude Fable 5 measured
Design Arena: agents building full-stack apps1280Not measuredOnly Claude Fable 5 measured
Design Arena: agents building mobile apps1264Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Android apps1289Not measuredOnly Claude Fable 5 measured
Design Arena: agents building Godot games1292Not measuredOnly Claude Fable 5 measured
Design Arena: agents building games1285Not measuredOnly Claude Fable 5 measured
Design Arena: HTML slides1277Not measuredOnly Claude Fable 5 measured
Design Arena: PowerPoint slides1295Not measuredOnly Claude Fable 5 measured
LiveBench research86.9%Not measuredOnly Claude Fable 5 measured
LiveBench browser92.0%Not measuredOnly Claude Fable 5 measured
LiveBench long agentic53.2%Not measuredOnly Claude Fable 5 measured
Finance Agent (Vals AI)56.3%Not measuredOnly Claude Fable 5 measured
Tax Agent Bench (Vals AI)38.3%Not measuredOnly Claude Fable 5 measured
Legal Research Bench (Vals AI)49.5%Not measuredOnly Claude Fable 5 measured
Excel Modeling Benchmark (Vals AI)73.7%Not measuredOnly Claude Fable 5 measured
Terminal-Bench-Science (Vals AI)15.7%Not measuredOnly Claude Fable 5 measured
τ²-Bench Telecom98.5%36.5%Claude Fable 5
APEX-Agents63.6%Not measuredOnly Claude Fable 5 measured
METR time horizonsNot measured53.8%Only R1 0528 measured
Remote Labor Index16.1%Not measuredOnly Claude Fable 5 measured
DeepResearch BenchNot measured35.1%Only R1 0528 measured
PostTrainBench41.8%Not measuredOnly Claude Fable 5 measured
Vending-Bench 2$5,680Not measuredOnly Claude Fable 5 measured
LMArena Search1229Not measuredOnly Claude Fable 5 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Fable 5 and R1 0528
BenchmarkClaude Fable 5R1 0528Leader
GPQA Diamond93.2%Not measuredOnly Claude Fable 5 measured
LiveBench reasoning89.7%Not measuredOnly Claude Fable 5 measured
MMMU Pro (Vals AI)89.3%Not measuredOnly Claude Fable 5 measured
GPQA Diamond (Artificial Analysis run)92.6%81.3%Claude Fable 5
Humanity's Last Exam (Artificial Analysis run)55.5%15.8%Claude Fable 5
GPQA Diamond (Epoch AI run)85.9%76.3%Claude Fable 5
ARC-AGI98.5%21.2%Claude Fable 5
ARC-AGI-289.2%1.1%Claude Fable 5
SimpleBench81.9%40.8%Claude Fable 5
Chess puzzles47.0%Not measuredOnly Claude Fable 5 measured
Mystery game puzzles52.0%Not measuredOnly Claude Fable 5 measured
EBR-bench39.5%Not measuredOnly Claude Fable 5 measured
LMArena Text: hard prompts15071415Claude Fable 5
LMArena Text: expert15341394Claude Fable 5
LMArena Text: hard prompts in English15091422Claude Fable 5
LMArena Vision: diagrams1357Not measuredOnly Claude Fable 5 measured
LMArena Vision: homework1361Not measuredOnly Claude Fable 5 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 Fable 5 and R1 0528
BenchmarkClaude Fable 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 Fable 5
FrontierMath, tiers 1 to 387.0%Not measuredOnly Claude Fable 5 measured
FrontierMath, tier 490.2%Not measuredOnly Claude Fable 5 measured
ProofBench95.0%Not measuredOnly Claude Fable 5 measured
MATH level 5Not measured96.6%Only R1 0528 measured
LMArena Text: math15161400Claude Fable 5
LMArena Text: mathematical work15151415Claude Fable 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 Fable 5 and R1 0528
BenchmarkClaude Fable 5R1 0528Leader
MMLU Pro91.5%Not measuredOnly Claude Fable 5 measured
LegalBench (Vals AI)88.6%Not measuredOnly Claude Fable 5 measured
CorpFin (Vals AI)71.8%Not measuredOnly Claude Fable 5 measured
TaxEval (Vals AI)76.9%Not measuredOnly Claude Fable 5 measured
MortgageTax (Vals AI)68.9%Not measuredOnly Claude Fable 5 measured
MedCode (Vals AI)56.1%Not measuredOnly Claude Fable 5 measured
MMLU Pro (Artificial Analysis run)Not measured84.9%Only R1 0528 measured
SimpleQA Verified70.7%Not measuredOnly Claude Fable 5 measured
LMArena Text: science15061430Claude Fable 5
LMArena Text: medicine and healthcare14801445Claude Fable 5
LMArena Text: legal and government14981419Claude Fable 5
LMArena Text: business and finance14801402Claude Fable 5
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 Fable 5 and R1 0528
BenchmarkClaude Fable 5R1 0528Leader
Design Arena: websites12961149Claude Fable 5
Design Arena: UI components13181102Claude Fable 5
Design Arena: game dev13361098Claude Fable 5
Design Arena: data viz13041182Claude Fable 5
Design Arena: 3D13191111Claude Fable 5
Design Arena: all code categories13101139Claude Fable 5
Design Arena: SVG13021038Claude Fable 5
Design Arena: ASCII art1328Not measuredOnly Claude Fable 5 measured
LiveBench design84.7%Not measuredOnly Claude Fable 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Claude Fable 5 and R1 0528
BenchmarkClaude Fable 5R1 0528Leader
LiveBench data analysis80.5%Not measuredOnly Claude Fable 5 measured
Public Benefits Bench (Vals AI)70.4%Not measuredOnly Claude Fable 5 measured
SAGE (Vals AI)51.9%Not measuredOnly Claude Fable 5 measured
MedScribe (Vals AI)88.5%Not measuredOnly Claude Fable 5 measured
Vals Multimodal Index74.2%Not measuredOnly Claude Fable 5 measured
IFBench63.5%39.6%Claude Fable 5
Long context reasoning (AA-LCR)82.3%55.7%Claude Fable 5
DTBench98.4%Not measuredOnly Claude Fable 5 measured
LMCA61.2%Not measuredOnly Claude Fable 5 measured
Fiction.LiveBenchNot measured75.0%Only R1 0528 measured
Creative writing (Lech Mazur)Not measured81.9%Only R1 0528 measured
Surface Evolver Bench95.0%Not measuredOnly Claude Fable 5 measured
Furniture assembly35.8%Not measuredOnly Claude Fable 5 measured
LMArena Text14911428Claude Fable 5
LMArena Text: instruction following15021382Claude Fable 5
LMArena Text: creative writing14941405Claude Fable 5
LMArena Vision1325Not measuredOnly Claude Fable 5 measured
LMArena Text: English14981437Claude Fable 5
LMArena Text: non-English14821412Claude Fable 5
LMArena Text: Chinese15431442Claude Fable 5
LMArena Text: German14861404Claude Fable 5
LMArena Text: Japanese15041391Claude Fable 5
LMArena Text: Korean14871360Claude Fable 5
LMArena Text: French15051417Claude Fable 5
LMArena Text: Spanish14981411Claude Fable 5
LMArena Text: Russian15031423Claude Fable 5
LMArena Text: Polish14941428Claude Fable 5
LMArena Text: multi-turn15041405Claude Fable 5
LMArena Text: longer queries15101391Claude Fable 5
LMArena Text: writing and language15011402Claude Fable 5
LMArena Text: entertainment and media14821400Claude Fable 5
LMArena Vision: English1323Not measuredOnly Claude Fable 5 measured
LMArena Vision: Chinese1373Not measuredOnly Claude Fable 5 measured
LMArena Vision: reading text1337Not measuredOnly Claude Fable 5 measured
LMArena Vision: humor1341Not measuredOnly Claude Fable 5 measured
LMArena Vision: creative writing1338Not measuredOnly Claude Fable 5 measured
LMArena Document1496Not measuredOnly Claude Fable 5 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 Fable 5 and R1 0528
BenchmarkClaude Fable 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 Fable 5$0.035Fits in one request
R1 0528$0.0016Fits in one request

R1 0528 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5$0.650Fits in one request
R1 0528$0.031Fits in one request

R1 0528 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5$2.50Fits 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 Fable 5 and R1 0528
SpecificationAnthropic Claude Fable 5DeepSeek R1 0528
MakerAnthropicDeepSeek
WeightsNo public weights listedOpen weights
ReleasedJune 9, 2026May 28, 2025
Context window1M164K
Input $/Mtok$10.00$0.50
Output $/Mtok$50.00$2.15
Coding index82.171.4
Independent measurements behind it21
Cost per solved task$2.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5 better than R1 0528 for coding?

Pick Claude Fable 5 for coding: it scores 82.1 on the Vibe Coding Index against 71.4 for R1 0528. Pick R1 0528 when output tokens cost 23.3x less.

Which is cheaper, Claude Fable 5 or R1 0528?

Claude Fable 5 costs $10.00 per million input tokens and $50.00 per million output tokens; R1 0528 costs $0.50 and $2.15. Cost per solved task is known for Claude Fable 5 only.

Which has the bigger context window, Claude Fable 5 or R1 0528?

Claude Fable 5, with 1M tokens against 164K.

How many benchmarks is the Claude Fable 5 vs R1 0528 comparison based on?

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