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Claude Fable 5.1 vs Claude Opus 4.7

Claude Fable 5.1 leads Claude Opus 4.7 on coding, 84.2 to 67.5 on the Vibe Coding Index, and Claude Opus 4.7 costs 2.0x less per output token ($25.00 vs $50.00 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Claude Fable 5.1Anthropic
Coding
84.2
Overall
84.7
Output $/M
$50.00
80
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
5
vs boards won of 85 shared

Claude Fable 5.1 or Claude Opus 4.7: which to pick

Pick Claude Fable 5.1 for coding: it scores 84.2 on the Vibe Coding Index against 67.5 for Claude Opus 4.7.

Pick Claude Opus 4.7 for output tokens 2.0x cheaper ($25.00 vs $50.00 per million) and work measured by Vending-Bench 2 or MedCode (Vals AI), where it leads.

Shared results
85
Claude Fable 5.1 only
39
Claude Opus 4.7 only
18
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 Fable 5.1 84.2 from 5 benchmarks, Claude Opus 4.7 67.5 from 4 benchmarks.
Widest category
Math, 22.5 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Fable 5.1 87.8% against Claude Opus 4.7 31.7%, 56.1 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.1 $50.00 against Claude Opus 4.7 $25.00 per million output tokens, 2.0x apart.
Context window
Both take 1M tokens.

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 5.1BarsClaude Opus 4.7Ties
Coding160
Intelligence20
Agentic work71
Reasoning140
Math60
Knowledge91
General263
All shared boards805
CodingLike-for-likeSix of these boards feed the Vibe Coding Index160
Coding benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
LiveBench coding97.7%Not measuredOnly Claude Fable 5.1 measured
LMArena WebDev17431558Claude Fable 5.1
AA Coding Index81.673.6Claude Fable 5.1
LiveCodeBench (Vals AI)90.5%85.1%Claude Fable 5.1
SWE-bench Verified (Vals AI)Not measured82.0%Only Claude Opus 4.7 measured
Terminal-Bench 4 (Vals AI)58.1%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench (Vals AI)90.3%71.0%Claude Fable 5.1
Code migration (Vals AI)54.6%43.9%Claude Fable 5.1
ProgramBench (Vals AI)7.0%0.0%Claude Fable 5.1
IOI (Vals AI)90.8%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench 2.1 (Vals AI)85.0%68.5%Claude Fable 5.1
SWE-bench Multimodal (Vals AI)61.3%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench 1-100 (Vals AI)28.0%Not measuredOnly Claude Fable 5.1 measured
SkillsBench (Vals AI)61.5%Not measuredOnly Claude Fable 5.1 measured
CyberBench (Vals AI)70.4%Not measuredOnly Claude Fable 5.1 measured
SciCode63.1%Not measuredOnly Claude Fable 5.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured54.5%Only Claude Opus 4.7 measured
Terminal-BenchNot measured80.2%Only Claude Opus 4.7 measured
FrontierCode50.9%38.5%Claude Fable 5.1
FrontierSWE56.3%Not measuredOnly Claude Fable 5.1 measured
GSO-Bench88.2%44.1%Claude Fable 5.1
WeirdML92.9%76.4%Claude Fable 5.1
MirrorCode73.3%31.1%Claude Fable 5.1
ALE-Bench2143.2Not measuredOnly Claude Fable 5.1 measured
LMArena Text: coding15321519Claude Fable 5.1
LMArena Text: software and IT15301516Claude Fable 5.1
LMArena WebDev: React17921560Claude Fable 5.1
LMArena WebDev: HTML16841554Claude Fable 5.1
LMArena WebDev: from an image17221577Claude Fable 5.1
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
AA Intelligence Index53.440.7Claude Fable 5.1
Epoch Capabilities Index166.5156.8Claude Fable 5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index71
Agentic work benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
AA Agentic Index57.938.6Claude Fable 5.1
Design Arena: agents building web apps1318Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building full-stack apps1326Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building mobile apps1267Not measuredOnly Claude Fable 5.1 measured
Design Arena: agents building Godot games1327Not measuredOnly Claude Fable 5.1 measured
Design Arena: PowerPoint slides1305Not measuredOnly Claude Fable 5.1 measured
Design Arena: spreadsheets1380Not measuredOnly Claude Fable 5.1 measured
LiveBench research82.0%Not measuredOnly Claude Fable 5.1 measured
LiveBench browser100.0%Not measuredOnly Claude Fable 5.1 measured
LiveBench long agentic80.8%Not measuredOnly Claude Fable 5.1 measured
SREBench (Vals AI)22.9%Not measuredOnly Claude Fable 5.1 measured
Finance Agent (Vals AI)58.9%51.5%Claude Fable 5.1
Tax Agent Bench (Vals AI)49.2%23.7%Claude Fable 5.1
Legal Research Bench (Vals AI)55.3%38.5%Claude Fable 5.1
Excel Modeling Benchmark (Vals AI)76.7%63.7%Claude Fable 5.1
Terminal-Bench-Science (Vals AI)40.0%Not measuredOnly Claude Fable 5.1 measured
Time Horizon Index (Vals AI)63.3%Not measuredOnly Claude Fable 5.1 measured
CUA-bench (Vals AI)13.2%Not measuredOnly Claude Fable 5.1 measured
Robo-bench (Vals AI)5.8%Not measuredOnly Claude Fable 5.1 measured
τ²-Bench TelecomNot measured88.6%Only Claude Opus 4.7 measured
APEX-Agents68.6%49.2%Claude Fable 5.1
Remote Labor Index17.9%Not measuredOnly Claude Fable 5.1 measured
OSWorld 2.0Not measured18.2%Only Claude Opus 4.7 measured
PostTrainBenchNot measured28.6%Only Claude Opus 4.7 measured
SpireClimb2.0%Not measuredOnly Claude Fable 5.1 measured
Vending-Bench 2$5,422$10,937Claude Opus 4.7
LMArena Search12461230Claude Fable 5.1
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index140
Reasoning benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
GPQA Diamond93.4%90.2%Claude Fable 5.1
LiveBench reasoning91.7%Not measuredOnly Claude Fable 5.1 measured
MysteryMechanism (Vals AI)47.8%Not measuredOnly Claude Fable 5.1 measured
MMMU Pro (Vals AI)90.6%85.5%Claude Fable 5.1
GPQA Diamond (Artificial Analysis run)93.7%91.4%Claude Fable 5.1
Humanity's Last Exam (Artificial Analysis run)59.1%42.3%Claude Fable 5.1
GPQA Diamond (Epoch AI run)Not measured90.2%Only Claude Opus 4.7 measured
ARC-AGI97.5%93.5%Claude Fable 5.1
ARC-AGI-290.0%75.8%Claude Fable 5.1
SimpleBenchNot measured61.7%Only Claude Opus 4.7 measured
Chess puzzles48.0%41.0%Claude Fable 5.1
Mystery game puzzles58.0%28.0%Claude Fable 5.1
EBR-bench57.1%19.0%Claude Fable 5.1
LMArena Text: hard prompts15281506Claude Fable 5.1
LMArena Text: expert15441521Claude Fable 5.1
LMArena Text: hard prompts in English15221508Claude Fable 5.1
LMArena Vision: diagrams13431336Claude Fable 5.1
LMArena Vision: homework13451337Claude Fable 5.1
Kagi LLM BenchmarkNot measured80.7%Only Claude Opus 4.7 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
AIMENot measured96.3%Only Claude Opus 4.7 measured
OTIS Mock AIME100.0%97.8%Claude Fable 5.1
FrontierMath, tiers 1 to 390.2%70.2%Claude Fable 5.1
FrontierMath, tier 487.8%31.7%Claude Fable 5.1
ProofBench100.0%54.0%Claude Fable 5.1
LMArena Text: math15311498Claude Fable 5.1
LMArena Text: mathematical work15411509Claude Fable 5.1
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
MMLU Pro92.4%89.9%Claude Fable 5.1
LegalBench (Vals AI)88.5%85.3%Claude Fable 5.1
CaseLaw (Vals AI)Not measured68.4%Only Claude Opus 4.7 measured
CorpFin (Vals AI)Not measured66.1%Only Claude Opus 4.7 measured
TaxEval (Vals AI)76.0%75.3%Claude Fable 5.1
MortgageTax (Vals AI)70.8%70.3%Claude Fable 5.1
MedCode (Vals AI)53.5%54.9%Claude Opus 4.7
SimpleQA Verified70.8%51.7%Claude Fable 5.1
LMArena Text: science15321508Claude Fable 5.1
LMArena Text: medicine and healthcare15311495Claude Fable 5.1
LMArena Text: legal and government15141504Claude Fable 5.1
LMArena Text: business and finance14931490Claude Fable 5.1
FACTS Benchmark SuiteNot measured45.5%Only Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
Design Arena: websites1312Not measuredOnly Claude Fable 5.1 measured
Design Arena: UI components1336Not measuredOnly Claude Fable 5.1 measured
Design Arena: game dev1381Not measuredOnly Claude Fable 5.1 measured
Design Arena: data viz1344Not measuredOnly Claude Fable 5.1 measured
Design Arena: 3D1392Not measuredOnly Claude Fable 5.1 measured
Design Arena: all code categories1335Not measuredOnly Claude Fable 5.1 measured
Design Arena: SVG1300Not measuredOnly Claude Fable 5.1 measured
Design Arena: ASCII art1323Not measuredOnly Claude Fable 5.1 measured
LiveBench design83.4%Not measuredOnly Claude Fable 5.1 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index263
General benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
LiveBench data analysis80.3%Not measuredOnly Claude Fable 5.1 measured
Public Benefits Bench (Vals AI)74.9%Not measuredOnly Claude Fable 5.1 measured
SAGE (Vals AI)48.5%56.1%Claude Opus 4.7
MedScribe (Vals AI)91.3%83.0%Claude Fable 5.1
Vals Multimodal IndexNot measured67.4%Only Claude Opus 4.7 measured
IFBenchNot measured58.6%Only Claude Opus 4.7 measured
Long context reasoning (AA-LCR)85.3%78.7%Claude Fable 5.1
DTBench97.6%94.7%Claude Fable 5.1
LMCA65.5%52.2%Claude Fable 5.1
Furniture assembly70.0%33.3%Claude Fable 5.1
ExploitBenchNot measured26.5%Only Claude Opus 4.7 measured
LMArena Text15121490Claude Fable 5.1
LMArena Text: instruction following15181498Claude Fable 5.1
LMArena Text: creative writing15091486Claude Fable 5.1
LMArena Vision13191317Claude Fable 5.1
LMArena Text: English15061496Claude Fable 5.1
LMArena Text: non-English15081480Claude Fable 5.1
LMArena Text: Chinese15841531Claude Fable 5.1
LMArena Text: German14991495Claude Fable 5.1
LMArena Text: Japanese15621474Claude Fable 5.1
LMArena Text: Korean15171464Claude Fable 5.1
LMArena Text: French15231503Claude Fable 5.1
LMArena Text: Spanish15201494Claude Fable 5.1
LMArena Text: Russian15201494Claude Fable 5.1
LMArena Text: Polish15251489Claude Fable 5.1
LMArena Text: multi-turn14931505Claude Opus 4.7
LMArena Text: longer queries15241505Claude Fable 5.1
LMArena Text: writing and language15101492Claude Fable 5.1
LMArena Text: entertainment and media14971474Claude Fable 5.1
LMArena Vision: English13131322Claude Opus 4.7
LMArena Vision: Chinese13911371Claude Fable 5.1
LMArena Vision: reading text13271327Claude Fable 5.1
LMArena Vision: humor13181309Claude Fable 5.1
LMArena Vision: recognizing thingsNot measured1278Only Claude Opus 4.7 measured
LMArena Vision: creative writing13301326Claude Fable 5.1
LMArena DocumentNot measured1495Only Claude Opus 4.7 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Fable 5.1 and Claude Opus 4.7
BenchmarkClaude Fable 5.1Claude Opus 4.7Leader
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 5.1$0.035Fits in one request
Claude Opus 4.7$0.018Fits in one request

Claude Opus 4.7 costs less

Repository review

50K input + 3K output tokens

Claude Fable 5.1$0.650Fits in one request
Claude Opus 4.7$0.325Fits in one request

Claude Opus 4.7 costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5.1$2.50Fits in one request
Claude Opus 4.7$1.25Fits in one request

Claude Opus 4.7 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 5.1 and Claude Opus 4.7
SpecificationAnthropic Claude Fable 5.1Anthropic Claude Opus 4.7
MakerAnthropicAnthropic
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 1, 2026April 16, 2026
Context window1M1M
Input $/Mtok$10.00$5.00
Output $/Mtok$50.00$25.00
Coding index84.267.5
Independent measurements behind it54
Cost per solved taskNot computable$2.95
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.1 better than Claude Opus 4.7 for coding?

Pick Claude Fable 5.1 for coding: it scores 84.2 on the Vibe Coding Index against 67.5 for Claude Opus 4.7. Pick Claude Opus 4.7 for output tokens 2.0x cheaper ($25.00 vs $50.00 per million) and work measured by Vending-Bench 2 or MedCode (Vals AI), where it leads.

Which is cheaper, Claude Fable 5.1 or Claude Opus 4.7?

Claude Fable 5.1 costs $10.00 per million input tokens and $50.00 per million output tokens; Claude Opus 4.7 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Fable 5.1 or Claude Opus 4.7?

Neither: both take 1M tokens.

How many benchmarks is the Claude Fable 5.1 vs Claude Opus 4.7 comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. Claude Fable 5.1's coding index rests on 5 independent benchmarks and Claude Opus 4.7's on 4. Where only one model has a result, the page says so instead of naming a winner.

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