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Claude Sonnet 4.5 vs GPT-6 Sol

GPT-6 Sol leads Claude Sonnet 4.5 on coding, 76.0 to 39.5 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; 63 benchmarks have a result for both.

Replace Claude Sonnet 4.5 Replace GPT-6 Sol
Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
29
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
34
vs boards won of 63 shared

Claude Sonnet 4.5 or GPT-6 Sol: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5.

Pick Claude Sonnet 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Sonnet 4.5Anthropic39.5/1003 independent benchmarks$1.16 per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
63
Claude Sonnet 4.5 only
32
GPT-6 Sol only
38
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 4.5 39.5 from 3 benchmarks, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Math, 42.2 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Sonnet 4.5 2.4% against GPT-6 Sol 90.0%, 87.6 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against GPT-6 Sol $10.00 per million output tokens, 1.5x apart.
Context window
Claude Sonnet 4.5 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 4.5BarsGPT-6 SolTies
Coding24
Intelligence02
Agentic work04
Reasoning36
Math24
Knowledge43
Web design08
General183
All shared boards2934
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-6 SolLeader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench codingNot measured93.1%Only GPT-6 Sol measured
LMArena WebDev13941683GPT-6 Sol
AA Coding Index52.1Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Terminal-Bench 4 (Vals AI)Not measured44.4%Only GPT-6 Sol measured
Vibe Code Bench (Vals AI)22.6%87.8%GPT-6 Sol
Code migration (Vals AI)Not measured57.2%Only GPT-6 Sol measured
ProgramBench (Vals AI)Not measured2.0%Only GPT-6 Sol measured
IOI (Vals AI)Not measured82.6%Only GPT-6 Sol measured
Terminal-Bench 2.1 (Vals AI)Not measured83.2%Only GPT-6 Sol measured
CyberBench (Vals AI)Not measured78.0%Only GPT-6 Sol measured
SciCodeNot measured57.6%Only GPT-6 Sol measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
FrontierCodeNot measured49.3%Only GPT-6 Sol measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
ALE-BenchNot measured2462.0Only GPT-6 Sol measured
LMArena Text: coding14881448Claude Sonnet 4.5
LMArena Text: software and IT14731433Claude Sonnet 4.5
LMArena WebDev: React13861685GPT-6 Sol
LMArena WebDev: HTML13991685GPT-6 Sol
LMArena WebDev: from an imageNot measured1660Only GPT-6 Sol measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-6 SolLeader
AA Intelligence Index20.747.6GPT-6 Sol
Epoch Capabilities Index146.7163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-6 SolLeader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps10601231GPT-6 Sol
Design Arena: agents building full-stack apps10501238GPT-6 Sol
Design Arena: agents building mobile apps11371217GPT-6 Sol
LiveBench researchNot measured69.3%Only GPT-6 Sol measured
LiveBench browserNot measured92.0%Only GPT-6 Sol measured
LiveBench long agenticNot measured66.9%Only GPT-6 Sol measured
SREBench (Vals AI)Not measured30.5%Only GPT-6 Sol measured
Finance Agent (Vals AI)Not measured49.0%Only GPT-6 Sol measured
Tax Agent Bench (Vals AI)Not measured15.0%Only GPT-6 Sol measured
Legal Research Bench (Vals AI)Not measured28.9%Only GPT-6 Sol measured
Excel Modeling Benchmark (Vals AI)Not measured71.5%Only GPT-6 Sol measured
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
APEX-AgentsNot measured54.3%Only GPT-6 Sol measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$3,839$14,428GPT-6 Sol
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-6 SolLeader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
LiveBench reasoningNot measured88.7%Only GPT-6 Sol measured
MysteryMechanism (Vals AI)Not measured30.2%Only GPT-6 Sol measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured47.9%Only GPT-6 Sol measured
GPQA Diamond (Epoch AI run)82.3%94.3%GPT-6 Sol
ARC-AGI63.7%95.5%GPT-6 Sol
ARC-AGI-213.6%89.6%GPT-6 Sol
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%56.0%GPT-6 Sol
Mystery game puzzles17.0%56.0%GPT-6 Sol
EBR-bench2.4%53.3%GPT-6 Sol
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621422Claude Sonnet 4.5
LMArena Text: expert14831437Claude Sonnet 4.5
LMArena Text: hard prompts in English14711420Claude Sonnet 4.5
LMArena Vision: diagramsNot measured1270Only GPT-6 Sol measured
LMArena Vision: homeworkNot measured1286Only GPT-6 Sol measured
Kagi LLM Benchmark57.9%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-6 SolLeader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 323.9%89.8%GPT-6 Sol
FrontierMath, tier 42.4%90.0%GPT-6 Sol
ProofBench19.0%83.0%GPT-6 Sol
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491407Claude Sonnet 4.5
LMArena Text: mathematical work14621424Claude Sonnet 4.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index43
Knowledge benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-6 SolLeader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%47.1%GPT-6 Sol
SimpleQA Verified30.7%60.7%GPT-6 Sol
LMArena Text: science14481389Claude Sonnet 4.5
LMArena Text: medicine and healthcare14441366Claude Sonnet 4.5
LMArena Text: legal and government14511396Claude Sonnet 4.5
LMArena Text: business and finance14401380Claude Sonnet 4.5
FACTS Benchmark Suite40.6%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 index08
Web design benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-6 SolLeader
Design Arena: websites11891292GPT-6 Sol
Design Arena: UI components11701290GPT-6 Sol
Design Arena: game dev11661311GPT-6 Sol
Design Arena: data viz11671269GPT-6 Sol
Design Arena: 3D11571314GPT-6 Sol
Design Arena: all code categories11821300GPT-6 Sol
Design Arena: SVG11151315GPT-6 Sol
Design Arena: ASCII art12051222GPT-6 Sol
LiveBench designNot measured82.2%Only GPT-6 Sol measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index183
General benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-6 SolLeader
LiveBench data analysisNot measured81.2%Only GPT-6 Sol measured
Public Benefits Bench (Vals AI)Not measured56.6%Only GPT-6 Sol measured
SAGE (Vals AI)36.1%44.8%GPT-6 Sol
MedScribe (Vals AI)84.5%82.0%Claude Sonnet 4.5
Long context reasoning (AA-LCR)Not measured83.7%Only GPT-6 Sol measured
DTBench83.2%97.3%GPT-6 Sol
LMCA38.8%59.1%GPT-6 Sol
Furniture assemblyNot measured58.3%Only GPT-6 Sol measured
LMArena Text14381398Claude Sonnet 4.5
LMArena Text: instruction following14591413Claude Sonnet 4.5
LMArena Text: creative writing14421378Claude Sonnet 4.5
LMArena VisionNot measured1240Only GPT-6 Sol measured
LMArena Text: English14501396Claude Sonnet 4.5
LMArena Text: non-English14251388Claude Sonnet 4.5
LMArena Text: Chinese14601412Claude Sonnet 4.5
LMArena Text: German14271379Claude Sonnet 4.5
LMArena Text: Japanese13901377Claude Sonnet 4.5
LMArena Text: Korean14021336Claude Sonnet 4.5
LMArena Text: French14591399Claude Sonnet 4.5
LMArena Text: Spanish14581387Claude Sonnet 4.5
LMArena Text: Russian14371402Claude Sonnet 4.5
LMArena Text: Polish14231372Claude Sonnet 4.5
LMArena Text: multi-turn14651414Claude Sonnet 4.5
LMArena Text: longer queries14751416Claude Sonnet 4.5
LMArena Text: writing and language14421389Claude Sonnet 4.5
LMArena Text: entertainment and media14281373Claude Sonnet 4.5
LMArena Vision: EnglishNot measured1229Only GPT-6 Sol measured
LMArena Vision: reading textNot measured1258Only GPT-6 Sol measured
LMArena Vision: creative writingNot measured1219Only GPT-6 Sol measured
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and GPT-6 Sol
BenchmarkClaude Sonnet 4.5GPT-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 4.5$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 4.5$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 4.5$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 4.5 and GPT-6 Sol
SpecificationAnthropic Claude Sonnet 4.5OpenAI GPT-6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 29, 2025September 22, 2026
Context window1M1.05M
Input $/Mtok$3.00$2.00
Output $/Mtok$15.00$10.00
Coding index39.576.0
Independent measurements behind it35
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than GPT-6 Sol for coding?

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 39.5 for Claude Sonnet 4.5. Pick Claude Sonnet 4.5 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Sonnet 4.5 or GPT-6 Sol?

Claude Sonnet 4.5 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 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or GPT-6 Sol?

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

How many benchmarks is the Claude Sonnet 4.5 vs GPT-6 Sol comparison based on?

63 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 4.5's coding index rests on 3 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-4-5-vs-gpt-6-sol">LLMBenchmark.ai, Claude Sonnet 4.5 vs GPT-6 Sol</a></p>