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Claude Opus 4.6 vs GPT-6 Sol

GPT-6 Sol leads Claude Opus 4.6 on coding, 76.0 to 57.2 on the Vibe Coding Index, and GPT-6 Sol costs 2.5x less per output token ($10.00 vs $25.00 per million). Updated October 22, 2026; 75 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace GPT-6 Sol
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
39
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
36
vs boards won of 75 shared

Claude Opus 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 57.2 for Claude Opus 4.6.

Pick Claude Opus 4.6 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
75
Claude Opus 4.6 only
35
GPT-6 Sol only
26
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 Opus 4.6 57.2 from 4 benchmarks, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Math, 26.8 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Opus 4.6 26.8% against GPT-6 Sol 90.0%, 63.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against GPT-6 Sol $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 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 Opus 4.6BarsGPT-6 SolTies
Coding26
Intelligence02
Agentic work05
Reasoning57
Math24
Knowledge52
Web design26
General234
All shared boards3936
CodingLike-for-likeSix of these boards feed the Vibe Coding Index26
Coding benchmarks for Claude Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 4.6GPT-6 SolLeader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LiveBench codingNot measured93.1%Only GPT-6 Sol measured
LMArena WebDev15471683GPT-6 Sol
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Terminal-Bench 4 (Vals AI)Not measured44.4%Only GPT-6 Sol measured
Vibe Code Bench (Vals AI)57.6%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-Bench Hard (Artificial Analysis run)48.5%Not measuredOnly Claude Opus 4.6 measured
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%49.3%GPT-6 Sol
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured2462.0Only GPT-6 Sol measured
LMArena Text: coding15341448Claude Opus 4.6
LMArena Text: software and IT15271433Claude Opus 4.6
LMArena WebDev: React15391685GPT-6 Sol
LMArena WebDev: HTML15591685GPT-6 Sol
LMArena WebDev: from an image15431660GPT-6 Sol
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 Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 4.6GPT-6 SolLeader
AA Intelligence Index31.947.6GPT-6 Sol
Epoch Capabilities Index155.7163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for Claude Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 4.6GPT-6 SolLeader
Design Arena: agents building web apps12061231GPT-6 Sol
Design Arena: agents building full-stack apps12201238GPT-6 Sol
Design Arena: agents building mobile apps12071217GPT-6 Sol
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
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
τ²-Bench Telecom92.1%Not measuredOnly Claude Opus 4.6 measured
APEX-Agents46.3%54.3%GPT-6 Sol
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$8,018$14,428GPT-6 Sol
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index57
Reasoning benchmarks for Claude Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 4.6GPT-6 SolLeader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 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)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%Not measuredOnly Claude Opus 4.6 measured
Humanity's Last Exam (Artificial Analysis run)39.9%47.9%GPT-6 Sol
GPQA Diamond (Epoch AI run)90.5%94.3%GPT-6 Sol
ARC-AGI94.0%95.5%GPT-6 Sol
ARC-AGI-269.2%89.6%GPT-6 Sol
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%56.0%GPT-6 Sol
Mystery game puzzles25.0%56.0%GPT-6 Sol
EBR-bench12.7%53.3%GPT-6 Sol
LMArena Text: hard prompts15251422Claude Opus 4.6
LMArena Text: expert15441437Claude Opus 4.6
LMArena Text: hard prompts in English15301420Claude Opus 4.6
LMArena Vision: diagrams13401270Claude Opus 4.6
LMArena Vision: homework13371286Claude Opus 4.6
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 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 Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 4.6GPT-6 SolLeader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
OTIS Mock AIME94.4%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 366.0%89.8%GPT-6 Sol
FrontierMath, tier 426.8%90.0%GPT-6 Sol
ProofBench50.0%83.0%GPT-6 Sol
LMArena Text: math15181407Claude Opus 4.6
LMArena Text: mathematical work15251424Claude Opus 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
Knowledge benchmarks for Claude Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 4.6GPT-6 SolLeader
MMLU Pro89.1%Not measuredOnly Claude Opus 4.6 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Opus 4.6 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Opus 4.6 measured
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%47.1%Claude Opus 4.6
SimpleQA Verified47.0%60.7%GPT-6 Sol
LMArena Text: science15191389Claude Opus 4.6
LMArena Text: medicine and healthcare15041366Claude Opus 4.6
LMArena Text: legal and government15121396Claude Opus 4.6
LMArena Text: business and finance14971380Claude Opus 4.6
FACTS Benchmark Suite41.5%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 index26
Web design benchmarks for Claude Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 4.6GPT-6 SolLeader
Design Arena: websites12911292GPT-6 Sol
Design Arena: UI components12811290GPT-6 Sol
Design Arena: game dev12771311GPT-6 Sol
Design Arena: data viz12791269Claude Opus 4.6
Design Arena: 3D12731314GPT-6 Sol
Design Arena: all code categories12881300GPT-6 Sol
Design Arena: SVG12271315GPT-6 Sol
Design Arena: ASCII art12551222Claude Opus 4.6
LiveBench designNot measured82.2%Only GPT-6 Sol measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index234
General benchmarks for Claude Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 4.6GPT-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)51.6%44.8%Claude Opus 4.6
MedScribe (Vals AI)86.7%82.0%Claude Opus 4.6
IFBench53.1%Not measuredOnly Claude Opus 4.6 measured
Long context reasoning (AA-LCR)78.0%83.7%GPT-6 Sol
DTBench91.2%97.3%GPT-6 Sol
LMCA55.8%59.1%GPT-6 Sol
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%58.3%GPT-6 Sol
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011398Claude Opus 4.6
LMArena Text: instruction following15211413Claude Opus 4.6
LMArena Text: creative writing15051378Claude Opus 4.6
LMArena Vision13161240Claude Opus 4.6
LMArena Text: English15111396Claude Opus 4.6
LMArena Text: non-English14881388Claude Opus 4.6
LMArena Text: Chinese15511412Claude Opus 4.6
LMArena Text: German15001379Claude Opus 4.6
LMArena Text: Japanese14881377Claude Opus 4.6
LMArena Text: Korean14641336Claude Opus 4.6
LMArena Text: French15121399Claude Opus 4.6
LMArena Text: Spanish15101387Claude Opus 4.6
LMArena Text: Russian14971402Claude Opus 4.6
LMArena Text: Polish14991372Claude Opus 4.6
LMArena Text: multi-turn15111414Claude Opus 4.6
LMArena Text: longer queries15181416Claude Opus 4.6
LMArena Text: writing and language15021389Claude Opus 4.6
LMArena Text: entertainment and media14921373Claude Opus 4.6
LMArena Vision: English13241229Claude Opus 4.6
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text13261258Claude Opus 4.6
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing13311219Claude Opus 4.6
LMArena Document1507Not measuredOnly Claude Opus 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 Opus 4.6 and GPT-6 Sol
BenchmarkClaude Opus 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 Opus 4.6$0.018Fits in one request
GPT-6 Sol$0.0070Fits in one request

GPT-6 Sol costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
GPT-6 Sol$0.130Fits in one request

GPT-6 Sol costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits 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 Opus 4.6 and GPT-6 Sol
SpecificationAnthropic Claude Opus 4.6OpenAI GPT-6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026September 22, 2026
Context window1M1.05M
Input $/Mtok$5.00$2.00
Output $/Mtok$25.00$10.00
Coding index57.276.0
Independent measurements behind it45
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 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 57.2 for Claude Opus 4.6. Pick Claude Opus 4.6 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

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

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-6 Sol costs $2.00 and $10.00. Cost per solved task is known for Claude Opus 4.6 only.

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

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

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

75 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 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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