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Claude Sonnet 4.6 vs GPT-5.6 Sol

GPT-5.6 Sol leads Claude Sonnet 4.6 on coding, 73.5 to 57.3 on the Vibe Coding Index, and Claude Sonnet 4.6 costs 1.3x less per output token ($15.00 vs $20.00 per million). Updated October 22, 2026; 109 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace GPT-5.6 Sol
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
21
GPT-5.6 SolOpenAI
Coding
73.5
Overall
74.7
Output $/M
$20.00
88
vs boards won of 109 shared

Claude Sonnet 4.6 or GPT-5.6 Sol: which to pick

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 57.3 for Claude Sonnet 4.6.

Pick Claude Sonnet 4.6 for output tokens 1.3x cheaper ($15.00 vs $20.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BGPT-5.6 SolOpenAI73.5/1006 independent benchmarks$1.20 per solved task
Shared results
109
Claude Sonnet 4.6 only
9
GPT-5.6 Sol only
30
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 Sonnet 4.6 57.3 from 5 benchmarks, GPT-5.6 Sol 73.5 from 6 benchmarks.
Widest category
Intelligence, 14.7 points apart on average over 2 shared benchmarks.
Widest single gap
Mystery game puzzles: Claude Sonnet 4.6 16.0% against GPT-5.6 Sol 58.0%, 42.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against GPT-5.6 Sol $20.00 per million output tokens, 1.3x apart.
Context window
Claude Sonnet 4.6 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 Sonnet 4.6BarsGPT-5.6 SolTies
Coding217
Intelligence02
Agentic work116
Reasoning411
Math04
Knowledge65
Web design09
General824
All shared boards2188
CodingLike-for-likeSix of these boards feed the Vibe Coding Index217
Coding benchmarks for Claude Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-5.6 SolLeader
LiveBench coding66.6%89.7%GPT-5.6 Sol
LMArena WebDev15231616GPT-5.6 Sol
AA Coding Index63.077.4GPT-5.6 Sol
LiveCodeBench (Vals AI)82.1%82.6%GPT-5.6 Sol
SWE-bench Verified (Vals AI)77.4%96.2%GPT-5.6 Sol
Terminal-Bench 4 (Vals AI)Not measured37.9%Only GPT-5.6 Sol measured
Vibe Code Bench (Vals AI)55.8%80.5%GPT-5.6 Sol
Code migration (Vals AI)39.9%52.9%GPT-5.6 Sol
ProgramBench (Vals AI)0.5%1.5%GPT-5.6 Sol
IOI (Vals AI)Not measured91.2%Only GPT-5.6 Sol measured
Terminal-Bench 2.1 (Vals AI)57.3%85.8%GPT-5.6 Sol
Vibe Code Bench 1-100 (Vals AI)Not measured20.0%Only GPT-5.6 Sol measured
SkillsBench (Vals AI)49.0%54.1%GPT-5.6 Sol
CyberBench (Vals AI)Not measured76.3%Only GPT-5.6 Sol measured
SciCode50.1%57.8%GPT-5.6 Sol
Terminal-Bench Hard (Artificial Analysis run)53.0%65.9%GPT-5.6 Sol
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%47.5%GPT-5.6 Sol
FrontierSWENot measured32.2%Only GPT-5.6 Sol measured
GSO-BenchNot measured76.5%Only GPT-5.6 Sol measured
WeirdML66.1%88.8%GPT-5.6 Sol
MirrorCodeNot measured20.0%Only GPT-5.6 Sol measured
ALE-BenchNot measured2176.9Only GPT-5.6 Sol measured
LMArena Text: coding15031496Claude Sonnet 4.6
LMArena Text: software and IT14911489Claude Sonnet 4.6
LMArena WebDev: React15121620GPT-5.6 Sol
LMArena WebDev: HTML15271618GPT-5.6 Sol
LMArena WebDev: from an image15291609GPT-5.6 Sol
SciCodeNot measured10.8%Only GPT-5.6 Sol measured
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-5.6 SolLeader
AA Intelligence Index30.147.0GPT-5.6 Sol
Epoch Capabilities Index152.8162.8GPT-5.6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index116
Agentic work benchmarks for Claude Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-5.6 SolLeader
AA Agentic Index31.850.2GPT-5.6 Sol
Design Arena: agents building web apps11901245GPT-5.6 Sol
Design Arena: agents building full-stack apps12131261GPT-5.6 Sol
Design Arena: agents building mobile apps12121248GPT-5.6 Sol
Design Arena: agents building Android apps11971240GPT-5.6 Sol
Design Arena: agents building Godot games12261260GPT-5.6 Sol
Design Arena: agents building games11771266GPT-5.6 Sol
Design Arena: HTML slidesNot measured1236Only GPT-5.6 Sol measured
Design Arena: PowerPoint slidesNot measured1215Only GPT-5.6 Sol measured
LiveBench research63.6%54.5%Claude Sonnet 4.6
LiveBench browser68.0%88.0%GPT-5.6 Sol
LiveBench long agentic23.1%48.5%GPT-5.6 Sol
SREBench (Vals AI)Not measured30.5%Only GPT-5.6 Sol measured
Finance Agent (Vals AI)51.0%53.8%GPT-5.6 Sol
Tax Agent Bench (Vals AI)25.8%31.1%GPT-5.6 Sol
Legal Research Bench (Vals AI)38.5%48.1%GPT-5.6 Sol
Excel Modeling Benchmark (Vals AI)60.2%72.3%GPT-5.6 Sol
BioMysteryBench (Vals AI)Not measured71.1%Only GPT-5.6 Sol measured
Terminal-Bench-Science (Vals AI)Not measured20.0%Only GPT-5.6 Sol measured
Vals Science IndexNot measured41.5%Only GPT-5.6 Sol measured
Time Horizon Index (Vals AI)Not measured23.8%Only GPT-5.6 Sol measured
CUA-bench (Vals AI)Not measured8.3%Only GPT-5.6 Sol measured
τ²-Bench Telecom79.5%85.1%GPT-5.6 Sol
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%27.3%GPT-5.6 Sol
BALROGNot measured60.0%Only GPT-5.6 Sol measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
PostTrainBenchNot measured36.2%Only GPT-5.6 Sol measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204$9,619GPT-5.6 Sol
LMArena SearchNot measured1261Only GPT-5.6 Sol measured
Neither model has a result on the other 10 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index411
Reasoning benchmarks for Claude Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-5.6 SolLeader
GPQA Diamond85.6%95.2%GPT-5.6 Sol
LiveBench reasoning86.4%91.7%GPT-5.6 Sol
MysteryMechanism (Vals AI)Not measured33.3%Only GPT-5.6 Sol measured
MMMU Pro (Vals AI)83.6%88.8%GPT-5.6 Sol
GPQA Diamond (Artificial Analysis run)87.5%94.1%GPT-5.6 Sol
Humanity's Last Exam (Artificial Analysis run)33.6%49.5%GPT-5.6 Sol
GPQA Diamond (Epoch AI run)87.4%93.5%GPT-5.6 Sol
ARC-AGI86.5%97.5%GPT-5.6 Sol
ARC-AGI-260.4%92.5%GPT-5.6 Sol
SimpleBenchNot measured64.8%Only GPT-5.6 Sol measured
Chess puzzles23.0%59.0%GPT-5.6 Sol
Mystery game puzzles16.0%58.0%GPT-5.6 Sol
EBR-benchNot measured44.8%Only GPT-5.6 Sol measured
LMArena Text: hard prompts14851483Claude Sonnet 4.6
LMArena Text: expert15001517GPT-5.6 Sol
LMArena Text: hard prompts in English14931477Claude Sonnet 4.6
LMArena Vision: diagrams13061305Claude Sonnet 4.6
LMArena Vision: homework13111305Claude Sonnet 4.6
Kagi LLM BenchmarkNot measured67.0%Only GPT-5.6 Sol measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Claude Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-5.6 SolLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%100.0%GPT-5.6 Sol
FrontierMath, tiers 1 to 3Not measured89.1%Only GPT-5.6 Sol measured
FrontierMath, tier 4Not measured82.9%Only GPT-5.6 Sol measured
ProofBench45.0%83.0%GPT-5.6 Sol
LMArena Text: math14621473GPT-5.6 Sol
LMArena Text: mathematical work14831496GPT-5.6 Sol
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index65
Knowledge benchmarks for Claude Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-5.6 SolLeader
MMLU Pro87.3%89.1%GPT-5.6 Sol
LegalBench (Vals AI)82.1%87.0%GPT-5.6 Sol
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%64.4%Claude Sonnet 4.6
TaxEval (Vals AI)77.1%74.8%Claude Sonnet 4.6
MortgageTax (Vals AI)67.7%67.3%Claude Sonnet 4.6
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MedCode (Vals AI)Not measured44.0%Only GPT-5.6 Sol measured
SimpleQA Verified35.5%69.7%GPT-5.6 Sol
LMArena Text: science14741455Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511431Claude Sonnet 4.6
LMArena Text: legal and government14701476GPT-5.6 Sol
LMArena Text: business and finance14641457Claude Sonnet 4.6
FACTS Benchmark Suite37.0%52.4%GPT-5.6 Sol
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index09
Web design benchmarks for Claude Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-5.6 SolLeader
Design Arena: websites12841321GPT-5.6 Sol
Design Arena: UI components12691335GPT-5.6 Sol
Design Arena: game dev12581367GPT-5.6 Sol
Design Arena: data viz12781322GPT-5.6 Sol
Design Arena: 3D12341384GPT-5.6 Sol
Design Arena: all code categories12751341GPT-5.6 Sol
Design Arena: SVG11961314GPT-5.6 Sol
Design Arena: ASCII art12351304GPT-5.6 Sol
LiveBench design71.8%81.6%GPT-5.6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index824
General benchmarks for Claude Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-5.6 SolLeader
LiveBench data analysis76.1%79.8%GPT-5.6 Sol
Public Benefits Bench (Vals AI)62.5%66.5%GPT-5.6 Sol
SAGE (Vals AI)46.6%52.6%GPT-5.6 Sol
MedScribe (Vals AI)Not measured85.2%Only GPT-5.6 Sol measured
Vals Multimodal Index60.6%72.6%GPT-5.6 Sol
IFBench56.6%72.7%GPT-5.6 Sol
Long context reasoning (AA-LCR)80.0%84.0%GPT-5.6 Sol
DTBench89.9%95.7%GPT-5.6 Sol
LMCA46.5%58.5%GPT-5.6 Sol
Surface Evolver BenchNot measured93.1%Only GPT-5.6 Sol measured
Furniture assemblyNot measured56.7%Only GPT-5.6 Sol measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581457Claude Sonnet 4.6
LMArena Text: instruction following14761483GPT-5.6 Sol
LMArena Text: creative writing14351449GPT-5.6 Sol
LMArena Vision12831281Claude Sonnet 4.6
LMArena Text: English14721457Claude Sonnet 4.6
LMArena Text: non-English14401451GPT-5.6 Sol
LMArena Text: Chinese14911525GPT-5.6 Sol
LMArena Text: German14281476GPT-5.6 Sol
LMArena Text: Japanese14201472GPT-5.6 Sol
LMArena Text: Korean14101442GPT-5.6 Sol
LMArena Text: French14651472GPT-5.6 Sol
LMArena Text: Spanish14641443Claude Sonnet 4.6
LMArena Text: Russian14401471GPT-5.6 Sol
LMArena Text: Polish14431459GPT-5.6 Sol
LMArena Text: multi-turn14641461Claude Sonnet 4.6
LMArena Text: longer queries14791481GPT-5.6 Sol
LMArena Text: writing and language14441462GPT-5.6 Sol
LMArena Text: entertainment and media14311450GPT-5.6 Sol
LMArena Vision: English12981280Claude Sonnet 4.6
LMArena Vision: Chinese13071313GPT-5.6 Sol
LMArena Vision: reading text12961290Claude Sonnet 4.6
LMArena Vision: humor12481246Claude Sonnet 4.6
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721283GPT-5.6 Sol
LMArena Document14821483GPT-5.6 Sol
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 Sonnet 4.6 and GPT-5.6 Sol
BenchmarkClaude Sonnet 4.6GPT-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 Sonnet 4.6$0.011Fits in one request
GPT-5.6 Sol$0.014Fits in one request

Claude Sonnet 4.6 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
GPT-5.6 Sol$0.260Fits in one request

Claude Sonnet 4.6 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
GPT-5.6 Sol$1.00Fits in one request

Claude Sonnet 4.6 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 Sonnet 4.6 and GPT-5.6 Sol
SpecificationAnthropic Claude Sonnet 4.6OpenAI GPT-5.6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026July 9, 2026
Context window1M1.05M
Input $/Mtok$3.00$4.00
Output $/Mtok$15.00$20.00
Coding index57.373.5
Independent measurements behind it56
Cost per solved task$1.68$1.20
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than GPT-5.6 Sol for coding?

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 57.3 for Claude Sonnet 4.6. Pick Claude Sonnet 4.6 for output tokens 1.3x cheaper ($15.00 vs $20.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Sonnet 4.6 or GPT-5.6 Sol?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Per solved SWE-bench Verified task, Claude Sonnet 4.6 costs $1.68 and GPT-5.6 Sol $1.20.

Which has the bigger context window, Claude Sonnet 4.6 or GPT-5.6 Sol?

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

How many benchmarks is the Claude Sonnet 4.6 vs GPT-5.6 Sol comparison based on?

109 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.6'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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