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Claude Sonnet 4.6 vs GPT-6 Sol

GPT-6 Sol leads Claude Sonnet 4.6 on coding, 76.0 to 57.3 on the Vibe Coding Index, and GPT-6 Sol costs 1.5x less per output token ($10.00 vs $15.00 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace GPT-6 Sol
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
41
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
44
vs boards won of 85 shared

Claude Sonnet 4.6 or GPT-6 Sol: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 57.3 for Claude Sonnet 4.6.

Pick Claude Sonnet 4.6 for 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-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
85
Claude Sonnet 4.6 only
33
GPT-6 Sol only
16
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-6 Sol 76.0 from 5 benchmarks.
Widest category
Knowledge, 19.2 points apart on average over 6 shared benchmarks.
Widest single gap
Vending-Bench 2: Claude Sonnet 4.6 $7,204 against GPT-6 Sol $14,428, 45.1 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against GPT-6 Sol $10.00 per million output tokens, 1.5x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, GPT-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-6 SolTies
Coding211
Intelligence02
Agentic work39
Reasoning57
Math22
Knowledge42
Web design27
General234
All shared boards4144
CodingLike-for-likeSix of these boards feed the Vibe Coding Index211
Coding benchmarks for Claude Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-6 SolLeader
LiveBench coding66.6%93.1%GPT-6 Sol
LMArena WebDev15231683GPT-6 Sol
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 4 (Vals AI)Not measured44.4%Only GPT-6 Sol measured
Vibe Code Bench (Vals AI)55.8%87.8%GPT-6 Sol
Code migration (Vals AI)39.9%57.2%GPT-6 Sol
ProgramBench (Vals AI)0.5%2.0%GPT-6 Sol
IOI (Vals AI)Not measured82.6%Only GPT-6 Sol measured
Terminal-Bench 2.1 (Vals AI)57.3%83.2%GPT-6 Sol
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
CyberBench (Vals AI)Not measured78.0%Only GPT-6 Sol measured
SciCode50.1%57.6%GPT-6 Sol
Terminal-Bench Hard (Artificial Analysis run)53.0%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%49.3%GPT-6 Sol
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
ALE-BenchNot measured2462.0Only GPT-6 Sol measured
LMArena Text: coding15031448Claude Sonnet 4.6
LMArena Text: software and IT14911433Claude Sonnet 4.6
LMArena WebDev: React15121685GPT-6 Sol
LMArena WebDev: HTML15271685GPT-6 Sol
LMArena WebDev: from an image15291660GPT-6 Sol
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-6 SolLeader
AA Intelligence Index30.147.6GPT-6 Sol
Epoch Capabilities Index152.8163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index39
Agentic work benchmarks for Claude Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-6 SolLeader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building web apps11901231GPT-6 Sol
Design Arena: agents building full-stack apps12131238GPT-6 Sol
Design Arena: agents building mobile apps12121217GPT-6 Sol
Design Arena: agents building Android apps1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%69.3%GPT-6 Sol
LiveBench browser68.0%92.0%GPT-6 Sol
LiveBench long agentic23.1%66.9%GPT-6 Sol
SREBench (Vals AI)Not measured30.5%Only GPT-6 Sol measured
Finance Agent (Vals AI)51.0%49.0%Claude Sonnet 4.6
Tax Agent Bench (Vals AI)25.8%15.0%Claude Sonnet 4.6
Legal Research Bench (Vals AI)38.5%28.9%Claude Sonnet 4.6
Excel Modeling Benchmark (Vals AI)60.2%71.5%GPT-6 Sol
BioMysteryBench (Vals AI)Not measured74.8%Only GPT-6 Sol measured
Terminal-Bench-Science (Vals AI)Not measured30.0%Only GPT-6 Sol measured
Vals Science IndexNot measured45.0%Only GPT-6 Sol measured
τ²-Bench Telecom79.5%Not measuredOnly Claude Sonnet 4.6 measured
APEX-Agents43.0%54.3%GPT-6 Sol
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$7,204$14,428GPT-6 Sol
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index57
Reasoning benchmarks for Claude Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-6 SolLeader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%88.7%GPT-6 Sol
MysteryMechanism (Vals AI)Not measured30.2%Only GPT-6 Sol measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%Not measuredOnly Claude Sonnet 4.6 measured
Humanity's Last Exam (Artificial Analysis run)33.6%47.9%GPT-6 Sol
GPQA Diamond (Epoch AI run)87.4%94.3%GPT-6 Sol
ARC-AGI86.5%95.5%GPT-6 Sol
ARC-AGI-260.4%89.6%GPT-6 Sol
Chess puzzles23.0%56.0%GPT-6 Sol
Mystery game puzzles16.0%56.0%GPT-6 Sol
EBR-benchNot measured53.3%Only GPT-6 Sol measured
LMArena Text: hard prompts14851422Claude Sonnet 4.6
LMArena Text: expert15001437Claude Sonnet 4.6
LMArena Text: hard prompts in English14931420Claude Sonnet 4.6
LMArena Vision: diagrams13061270Claude Sonnet 4.6
LMArena Vision: homework13111286Claude Sonnet 4.6
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for Claude Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-6 SolLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 3Not measured89.8%Only GPT-6 Sol measured
FrontierMath, tier 4Not measured90.0%Only GPT-6 Sol measured
ProofBench45.0%83.0%GPT-6 Sol
LMArena Text: math14621407Claude Sonnet 4.6
LMArena Text: mathematical work14831424Claude Sonnet 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
Knowledge benchmarks for Claude Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-6 SolLeader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MedCode (Vals AI)Not measured47.1%Only GPT-6 Sol measured
SimpleQA Verified35.5%60.7%GPT-6 Sol
LMArena Text: science14741389Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511366Claude Sonnet 4.6
LMArena Text: legal and government14701396Claude Sonnet 4.6
LMArena Text: business and finance14641380Claude Sonnet 4.6
FACTS Benchmark Suite37.0%72.5%GPT-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 index27
Web design benchmarks for Claude Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-6 SolLeader
Design Arena: websites12841292GPT-6 Sol
Design Arena: UI components12691290GPT-6 Sol
Design Arena: game dev12581311GPT-6 Sol
Design Arena: data viz12781269Claude Sonnet 4.6
Design Arena: 3D12341314GPT-6 Sol
Design Arena: all code categories12751300GPT-6 Sol
Design Arena: SVG11961315GPT-6 Sol
Design Arena: ASCII art12351222Claude Sonnet 4.6
LiveBench design71.8%82.2%GPT-6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index234
General benchmarks for Claude Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-6 SolLeader
LiveBench data analysis76.1%81.2%GPT-6 Sol
Public Benefits Bench (Vals AI)62.5%56.6%Claude Sonnet 4.6
SAGE (Vals AI)46.6%44.8%Claude Sonnet 4.6
MedScribe (Vals AI)Not measured82.0%Only GPT-6 Sol measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%Not measuredOnly Claude Sonnet 4.6 measured
Long context reasoning (AA-LCR)80.0%83.7%GPT-6 Sol
DTBench89.9%97.3%GPT-6 Sol
LMCA46.5%59.1%GPT-6 Sol
Furniture assemblyNot measured58.3%Only GPT-6 Sol measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581398Claude Sonnet 4.6
LMArena Text: instruction following14761413Claude Sonnet 4.6
LMArena Text: creative writing14351378Claude Sonnet 4.6
LMArena Vision12831240Claude Sonnet 4.6
LMArena Text: English14721396Claude Sonnet 4.6
LMArena Text: non-English14401388Claude Sonnet 4.6
LMArena Text: Chinese14911412Claude Sonnet 4.6
LMArena Text: German14281379Claude Sonnet 4.6
LMArena Text: Japanese14201377Claude Sonnet 4.6
LMArena Text: Korean14101336Claude Sonnet 4.6
LMArena Text: French14651399Claude Sonnet 4.6
LMArena Text: Spanish14641387Claude Sonnet 4.6
LMArena Text: Russian14401402Claude Sonnet 4.6
LMArena Text: Polish14431372Claude Sonnet 4.6
LMArena Text: multi-turn14641414Claude Sonnet 4.6
LMArena Text: longer queries14791416Claude Sonnet 4.6
LMArena Text: writing and language14441389Claude Sonnet 4.6
LMArena Text: entertainment and media14311373Claude Sonnet 4.6
LMArena Vision: English12981229Claude Sonnet 4.6
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text12961258Claude Sonnet 4.6
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721219Claude Sonnet 4.6
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 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 Sonnet 4.6 and GPT-6 Sol
BenchmarkClaude Sonnet 4.6GPT-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-6 Sol$0.0070Fits in one request

GPT-6 Sol costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
GPT-6 Sol$0.130Fits in one request

GPT-6 Sol costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
GPT-6 Sol$0.500Fits in one request

GPT-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 Sonnet 4.6 and GPT-6 Sol
SpecificationAnthropic Claude Sonnet 4.6OpenAI GPT-6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 17, 2026September 22, 2026
Context window1M1.05M
Input $/Mtok$3.00$2.00
Output $/Mtok$15.00$10.00
Coding index57.376.0
Independent measurements behind it55
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than GPT-6 Sol for coding?

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 57.3 for Claude Sonnet 4.6. Pick Claude Sonnet 4.6 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Sonnet 4.6 or GPT-6 Sol?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GPT-6 Sol costs $2.00 and $10.00. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or GPT-6 Sol?

GPT-6 Sol, with 1.05M tokens against 1M.

How many benchmarks is the Claude Sonnet 4.6 vs GPT-6 Sol comparison based on?

85 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-6 Sol's on 5. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-4-6-vs-gpt-6-sol">LLMBenchmark.ai, Claude Sonnet 4.6 vs GPT-6 Sol</a></p>