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Claude Fable 5.1 vs GPT-5.6 Sol

Claude Fable 5.1 leads GPT-5.6 Sol on coding, 84.2 to 73.5 on the Vibe Coding Index, and GPT-5.6 Sol costs 2.5x less per output token ($20.00 vs $50.00 per million). Updated October 22, 2026; 126 benchmarks have a result for both.

Replace Claude Fable 5.1 Replace GPT-5.6 Sol
Claude Fable 5.1Anthropic
Coding
84.2
Overall
84.7
Output $/M
$50.00
106
GPT-5.6 SolOpenAI
Coding
73.5
Overall
74.7
Output $/M
$20.00
15
vs boards won of 126 shared, 5 tied

Claude Fable 5.1 or GPT-5.6 Sol: which to pick

Pick Claude Fable 5.1 for coding: it scores 84.2 on the Vibe Coding Index against 73.5 for GPT-5.6 Sol, though on 5 benchmarks against 6.

Pick GPT-5.6 Sol for output tokens 2.5x cheaper ($20.00 vs $50.00 per million) and a larger context window (1.05M against 1M tokens).

Model AClaude Fable 5.1Anthropic84.2/1005 independent benchmarksNo cost per solved taskModel BGPT-5.6 SolOpenAI73.5/1006 independent benchmarks$1.20 per solved task
Shared results
126
Claude Fable 5.1 only
7
GPT-5.6 Sol only
22
Like-for-like categories
8 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, GPT-5.6 Sol 73.5 from 6 benchmarks.
Widest category
Agentic work, 13.0 points apart on average over 20 shared benchmarks.
Widest single gap
MirrorCode: Claude Fable 5.1 73.3% against GPT-5.6 Sol 20.0%, 53.3 points apart on a 0 to 100 scale.
Output price
Claude Fable 5.1 $50.00 against GPT-5.6 Sol $20.00 per million output tokens, 2.5x apart.
Context window
Claude Fable 5.1 takes 1M tokens, GPT-5.6 Sol 1.05M.

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 5.1BarsGPT-5.6 SolTies
Coding244
Intelligence20
Agentic work173
Reasoning1043 ties
Math601 tie
Knowledge120
Web design531 tie
General301
All shared boards106155 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index244
Coding benchmarks for Claude Fable 5.1 and GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
LiveBench coding97.7%89.7%Claude Fable 5.1
LMArena WebDev17431616Claude Fable 5.1
AA Coding Index81.677.4Claude Fable 5.1
LiveCodeBench (Vals AI)90.5%82.6%Claude Fable 5.1
SWE-bench Verified (Vals AI)Not measured96.2%Only GPT-5.6 Sol measured
Terminal-Bench 4 (Vals AI)58.1%37.9%Claude Fable 5.1
Vibe Code Bench (Vals AI)90.3%80.5%Claude Fable 5.1
Code migration (Vals AI)54.6%52.9%Claude Fable 5.1
ProgramBench (Vals AI)7.0%1.5%Claude Fable 5.1
IOI (Vals AI)90.8%91.2%GPT-5.6 Sol
Terminal-Bench 2.1 (Vals AI)85.0%85.8%GPT-5.6 Sol
SWE-bench Multimodal (Vals AI)61.3%Not measuredOnly Claude Fable 5.1 measured
Vibe Code Bench 1-100 (Vals AI)28.0%20.0%Claude Fable 5.1
SkillsBench (Vals AI)61.5%54.1%Claude Fable 5.1
CyberBench (Vals AI)70.4%76.3%GPT-5.6 Sol
SciCode63.1%57.8%Claude Fable 5.1
Terminal-Bench Hard (Artificial Analysis run)Not measured65.9%Only GPT-5.6 Sol measured
FrontierCode50.9%47.5%Claude Fable 5.1
FrontierSWE56.3%32.2%Claude Fable 5.1
GSO-Bench88.2%76.5%Claude Fable 5.1
WeirdML92.9%88.8%Claude Fable 5.1
MirrorCode73.3%20.0%Claude Fable 5.1
ALE-Bench2143.22176.9GPT-5.6 Sol
LMArena Text: coding15321496Claude Fable 5.1
LMArena Text: software and IT15301489Claude Fable 5.1
LMArena WebDev: React17921620Claude Fable 5.1
LMArena WebDev: HTML16841618Claude Fable 5.1
LMArena WebDev: from an image17221609Claude Fable 5.1
SciCodeNot measured10.8%Only GPT-5.6 Sol measured
SWE-Bench Pro V299.1%95.5%Claude Fable 5.1
SWE Atlas: Codebase QnA60.0%46.0%Claude Fable 5.1
SWE Atlas: Refactoring56.7%Not measuredOnly Claude Fable 5.1 measured
SWE Atlas: Test Writing67.0%45.9%Claude 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 GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
AA Intelligence Index53.447.0Claude Fable 5.1
Epoch Capabilities Index166.5162.8Claude Fable 5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index173
Agentic work benchmarks for Claude Fable 5.1 and GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
AA Agentic Index57.950.2Claude Fable 5.1
Design Arena: agents building web apps13181245Claude Fable 5.1
Design Arena: agents building full-stack apps13261261Claude Fable 5.1
Design Arena: agents building mobile apps12671248Claude Fable 5.1
Design Arena: agents building Android appsNot measured1239Only GPT-5.6 Sol measured
Design Arena: agents building Godot games13271260Claude Fable 5.1
Design Arena: agents building gamesNot measured1266Only GPT-5.6 Sol measured
Design Arena: HTML slidesNot measured1225Only GPT-5.6 Sol measured
Design Arena: PowerPoint slides13071214Claude Fable 5.1
Design Arena: spreadsheets1394Not measuredOnly Claude Fable 5.1 measured
LiveBench research82.0%54.5%Claude Fable 5.1
LiveBench browser100.0%88.0%Claude Fable 5.1
LiveBench long agentic80.8%48.5%Claude Fable 5.1
SREBench (Vals AI)22.9%30.5%GPT-5.6 Sol
Finance Agent (Vals AI)58.9%53.8%Claude Fable 5.1
Tax Agent Bench (Vals AI)49.2%31.1%Claude Fable 5.1
Legal Research Bench (Vals AI)55.3%48.1%Claude Fable 5.1
Excel Modeling Benchmark (Vals AI)76.7%72.3%Claude Fable 5.1
BioMysteryBench (Vals AI)Not measured71.1%Only GPT-5.6 Sol measured
Terminal-Bench-Science (Vals AI)40.0%20.0%Claude Fable 5.1
Vals Science IndexNot measured41.5%Only GPT-5.6 Sol measured
Time Horizon Index (Vals AI)63.3%23.8%Claude Fable 5.1
CUA-bench (Vals AI)13.2%8.3%Claude Fable 5.1
Robo-bench (Vals AI)5.8%Not measuredOnly Claude Fable 5.1 measured
τ²-Bench TelecomNot measured85.1%Only GPT-5.6 Sol measured
APEX-Agents68.6%Not measuredOnly Claude Fable 5.1 measured
Remote Labor Index17.9%Not measuredOnly Claude Fable 5.1 measured
OSWorld 2.0Not measured27.3%Only GPT-5.6 Sol measured
BALROGNot measured60.0%Only GPT-5.6 Sol measured
PostTrainBenchNot measured36.2%Only GPT-5.6 Sol measured
SpireClimb2.0%Not measuredOnly Claude Fable 5.1 measured
Vending-Bench 2$5,422$9,619GPT-5.6 Sol
LMArena Search12461261GPT-5.6 Sol
MCP Atlas87.2%81.8%Claude Fable 5.1
Neither model has a result on the other 8 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index104
Reasoning benchmarks for Claude Fable 5.1 and GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
GPQA Diamond93.4%95.2%GPT-5.6 Sol
LiveBench reasoning91.7%91.7%Tie
MysteryMechanism (Vals AI)47.8%33.3%Claude Fable 5.1
MMMU Pro (Vals AI)90.6%88.8%Claude Fable 5.1
GPQA Diamond (Artificial Analysis run)93.7%94.1%GPT-5.6 Sol
Humanity's Last Exam (Artificial Analysis run)59.1%49.5%Claude Fable 5.1
GPQA Diamond (Epoch AI run)Not measured93.5%Only GPT-5.6 Sol measured
ARC-AGI97.5%97.5%Tie
ARC-AGI-290.0%92.5%GPT-5.6 Sol
SimpleBenchNot measured64.8%Only GPT-5.6 Sol measured
Chess puzzles48.0%59.0%GPT-5.6 Sol
Mystery game puzzles58.0%58.0%Tie
EBR-bench57.1%44.8%Claude Fable 5.1
LMArena Text: hard prompts15281483Claude Fable 5.1
LMArena Text: expert15441517Claude Fable 5.1
LMArena Text: hard prompts in English15221477Claude Fable 5.1
LMArena Vision: diagrams13431305Claude Fable 5.1
LMArena Vision: homework13451305Claude Fable 5.1
Kagi LLM BenchmarkNot measured67.0%Only GPT-5.6 Sol measured
Humanity's Last Exam (Scale run)51.3%31.2%Claude Fable 5.1
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 GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
OTIS Mock AIME100.0%100.0%Tie
FrontierMath, tiers 1 to 390.2%89.1%Claude Fable 5.1
FrontierMath, tier 487.8%82.9%Claude Fable 5.1
ProofBench100.0%83.0%Claude Fable 5.1
LMArena Text: math15311473Claude Fable 5.1
LMArena Text: mathematical work15411496Claude Fable 5.1
MathArena78.1%62.9%Claude Fable 5.1
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
Knowledge benchmarks for Claude Fable 5.1 and GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
MMLU Pro92.4%89.1%Claude Fable 5.1
LegalBench (Vals AI)88.5%87.0%Claude Fable 5.1
CorpFin (Vals AI)Not measured64.4%Only GPT-5.6 Sol measured
TaxEval (Vals AI)76.0%74.8%Claude Fable 5.1
MortgageTax (Vals AI)70.8%67.3%Claude Fable 5.1
MedCode (Vals AI)53.5%44.0%Claude Fable 5.1
SimpleQA Verified70.8%69.7%Claude Fable 5.1
LMArena Text: science15321455Claude Fable 5.1
LMArena Text: medicine and healthcare15311431Claude Fable 5.1
LMArena Text: legal and government15141476Claude Fable 5.1
LMArena Text: business and finance14931457Claude Fable 5.1
FACTS Benchmark SuiteNot measured52.4%Only GPT-5.6 Sol measured
PRBench Finance50.8%50.4%Claude Fable 5.1
PRBench Legal51.6%50.5%Claude Fable 5.1
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index53
Web design benchmarks for Claude Fable 5.1 and GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
Design Arena: websites13121321GPT-5.6 Sol
Design Arena: UI components13361336Tie
Design Arena: game dev13811367Claude Fable 5.1
Design Arena: data viz13451323Claude Fable 5.1
Design Arena: 3D13921384Claude Fable 5.1
Design Arena: all code categories13351341GPT-5.6 Sol
Design Arena: SVG13001315GPT-5.6 Sol
Design Arena: ASCII art13231304Claude Fable 5.1
LiveBench design83.4%81.6%Claude Fable 5.1
GeneralLike-for-likePublic boards, shown as published, kept out of the index301
General benchmarks for Claude Fable 5.1 and GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
LiveBench data analysis80.3%79.8%Claude Fable 5.1
Public Benefits Bench (Vals AI)74.9%66.5%Claude Fable 5.1
SAGE (Vals AI)48.5%52.6%GPT-5.6 Sol
MedScribe (Vals AI)91.3%85.2%Claude Fable 5.1
Vals Multimodal IndexNot measured72.6%Only GPT-5.6 Sol measured
IFBenchNot measured72.7%Only GPT-5.6 Sol measured
Long context reasoning (AA-LCR)85.3%84.0%Claude Fable 5.1
DTBench97.6%95.7%Claude Fable 5.1
LMCA65.5%58.5%Claude Fable 5.1
Surface Evolver BenchNot measured93.1%Only GPT-5.6 Sol measured
Furniture assembly70.0%56.7%Claude Fable 5.1
LMArena Text15121457Claude Fable 5.1
LMArena Text: instruction following15181483Claude Fable 5.1
LMArena Text: creative writing15091449Claude Fable 5.1
LMArena Vision13191281Claude Fable 5.1
LMArena Text: English15061457Claude Fable 5.1
LMArena Text: non-English15081451Claude Fable 5.1
LMArena Text: Chinese15841525Claude Fable 5.1
LMArena Text: German14991476Claude Fable 5.1
LMArena Text: Japanese15621472Claude Fable 5.1
LMArena Text: Korean15171442Claude Fable 5.1
LMArena Text: French15231472Claude Fable 5.1
LMArena Text: Spanish15201443Claude Fable 5.1
LMArena Text: Russian15201471Claude Fable 5.1
LMArena Text: Polish15251459Claude Fable 5.1
LMArena Text: multi-turn14931461Claude Fable 5.1
LMArena Text: longer queries15241481Claude Fable 5.1
LMArena Text: writing and language15101462Claude Fable 5.1
LMArena Text: entertainment and media14971450Claude Fable 5.1
LMArena Vision: English13131280Claude Fable 5.1
LMArena Vision: Chinese13911313Claude Fable 5.1
LMArena Vision: reading text13271290Claude Fable 5.1
LMArena Vision: humor13181246Claude Fable 5.1
LMArena Vision: creative writing13301283Claude Fable 5.1
LMArena DocumentNot measured1483Only GPT-5.6 Sol measured
EQ-Bench 4Not measured1250Only GPT-5.6 Sol measured
Neither model has a result on the other 12 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 GPT-5.6 Sol
BenchmarkClaude Fable 5.1GPT-5.6 SolLeader
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
GPT-5.6 Sol$0.014Fits in one request

GPT-5.6 Sol costs less

Repository review

50K input + 3K output tokens

Claude Fable 5.1$0.650Fits in one request
GPT-5.6 Sol$0.260Fits in one request

GPT-5.6 Sol costs less

Agent loop

200K input + 10K output tokens

Claude Fable 5.1$2.50Fits in one request
GPT-5.6 Sol$1.00Fits in one request

GPT-5.6 Sol 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 GPT-5.6 Sol
SpecificationAnthropic Claude Fable 5.1OpenAI GPT-5.6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 1, 2026July 9, 2026
Context window1M1.05M
Input $/Mtok$10.00$4.00
Output $/Mtok$50.00$20.00
Coding index84.273.5
Independent measurements behind it56
Cost per solved taskNot computable$1.20
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Fable 5.1 better than GPT-5.6 Sol for coding?

Pick Claude Fable 5.1 for coding: it scores 84.2 on the Vibe Coding Index against 73.5 for GPT-5.6 Sol, though on 5 benchmarks against 6. Pick GPT-5.6 Sol for output tokens 2.5x cheaper ($20.00 vs $50.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Fable 5.1 or GPT-5.6 Sol?

Claude Fable 5.1 costs $10.00 per million input tokens and $50.00 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Cost per solved task is known for GPT-5.6 Sol only.

Which has the bigger context window, Claude Fable 5.1 or GPT-5.6 Sol?

GPT-5.6 Sol, with 1.05M tokens against 1M.

How many benchmarks is the Claude Fable 5.1 vs GPT-5.6 Sol comparison based on?

126 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 GPT-5.6 Sol's on 6. Where only one model has a result, the page says so instead of naming a winner.

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