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Claude Opus 4.8 vs GPT-6 Sol

GPT-6 Sol leads Claude Opus 4.8 on coding, 76.0 to 65.0 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; 92 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace GPT-6 Sol
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
49
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
43
vs boards won of 92 shared

Claude Opus 4.8 or GPT-6 Sol: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 65.0 for Claude Opus 4.8, though on 5 benchmarks against 6.

Pick Claude Opus 4.8 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
92
Claude Opus 4.8 only
38
GPT-6 Sol only
9
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 4.8 65.0 from 6 benchmarks, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Math, 14.1 points apart on average over 6 shared benchmarks.
Widest single gap
Vending-Bench 2: Claude Opus 4.8 $5,787 against GPT-6 Sol $14,428, 54.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against GPT-6 Sol $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.8 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 4.8BarsGPT-6 SolTies
Coding211
Intelligence02
Agentic work85
Reasoning76
Math24
Knowledge52
Web design18
General245
All shared boards4943
CodingLike-for-likeSix of these boards feed the Vibe Coding Index211
Coding benchmarks for Claude Opus 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-6 SolLeader
LiveBench coding77.3%93.1%GPT-6 Sol
LMArena WebDev15561683GPT-6 Sol
AA Coding Index74.3Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Vals AI)87.8%Not measuredOnly Claude Opus 4.8 measured
SWE-bench Verified (Vals AI)88.6%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)23.2%44.4%GPT-6 Sol
Vibe Code Bench (Vals AI)82.7%87.8%GPT-6 Sol
Code migration (Vals AI)47.3%57.2%GPT-6 Sol
ProgramBench (Vals AI)1.0%2.0%GPT-6 Sol
IOI (Vals AI)Not measured82.6%Only GPT-6 Sol measured
Terminal-Bench 2.1 (Vals AI)71.9%83.2%GPT-6 Sol
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
CyberBench (Vals AI)Not measured78.0%Only GPT-6 Sol measured
SciCode54.4%57.6%GPT-6 Sol
Terminal-Bench Hard (Artificial Analysis run)58.3%Not measuredOnly Claude Opus 4.8 measured
FrontierCode46.5%49.3%GPT-6 Sol
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%Not measuredOnly Claude Opus 4.8 measured
ALE-BenchNot measured2462.0Only GPT-6 Sol measured
LMArena Text: coding14901448Claude Opus 4.8
LMArena Text: software and IT14881433Claude Opus 4.8
LMArena WebDev: React15571685GPT-6 Sol
LMArena WebDev: HTML15431685GPT-6 Sol
LMArena WebDev: from an imageNot measured1660Only GPT-6 Sol measured
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-6 SolLeader
AA Intelligence Index41.847.6GPT-6 Sol
Epoch Capabilities Index159.0163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index85
Agentic work benchmarks for Claude Opus 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-6 SolLeader
AA Agentic Index41.9Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building web apps12331231Claude Opus 4.8
Design Arena: agents building full-stack apps12491238Claude Opus 4.8
Design Arena: agents building mobile apps12221217Claude Opus 4.8
Design Arena: agents building Android apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1239Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1171Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1202Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1303Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%69.3%Claude Opus 4.8
LiveBench browser96.0%92.0%Claude Opus 4.8
LiveBench long agentic48.3%66.9%GPT-6 Sol
SREBench (Vals AI)Not measured30.5%Only GPT-6 Sol measured
Finance Agent (Vals AI)53.9%49.0%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%15.0%Claude Opus 4.8
Legal Research Bench (Vals AI)43.8%28.9%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%71.5%GPT-6 Sol
BioMysteryBench (Vals AI)Not measured74.8%Only GPT-6 Sol measured
Terminal-Bench-Science (Vals AI)4.3%30.0%GPT-6 Sol
Vals Science IndexNot measured45.0%Only GPT-6 Sol measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%Not measuredOnly Claude Opus 4.8 measured
APEX-Agents48.9%54.3%GPT-6 Sol
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$5,787$14,428GPT-6 Sol
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 10 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index76
Reasoning benchmarks for Claude Opus 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-6 SolLeader
GPQA Diamond92.4%Not measuredOnly Claude Opus 4.8 measured
LiveBench reasoning89.2%88.7%Claude Opus 4.8
MysteryMechanism (Vals AI)Not measured30.2%Only GPT-6 Sol measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%Not measuredOnly Claude Opus 4.8 measured
Humanity's Last Exam (Artificial Analysis run)48.7%47.9%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%94.3%GPT-6 Sol
ARC-AGI92.5%95.5%GPT-6 Sol
ARC-AGI-272.1%89.6%GPT-6 Sol
SimpleBench64.8%Not measuredOnly Claude Opus 4.8 measured
Chess puzzles52.0%56.0%GPT-6 Sol
Mystery game puzzles36.0%56.0%GPT-6 Sol
EBR-bench28.6%53.3%GPT-6 Sol
LMArena Text: hard prompts14821422Claude Opus 4.8
LMArena Text: expert15031437Claude Opus 4.8
LMArena Text: hard prompts in English14871420Claude Opus 4.8
LMArena Vision: diagrams13151270Claude Opus 4.8
LMArena Vision: homework13371286Claude Opus 4.8
Kagi LLM Benchmark88.8%Not measuredOnly Claude Opus 4.8 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 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-6 SolLeader
OTIS Mock AIME98.3%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 380.0%89.8%GPT-6 Sol
FrontierMath, tier 456.1%90.0%GPT-6 Sol
ProofBench69.0%83.0%GPT-6 Sol
LMArena Text: math14861407Claude Opus 4.8
LMArena Text: mathematical work14971424Claude Opus 4.8
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
Knowledge benchmarks for Claude Opus 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-6 SolLeader
MMLU Pro89.6%Not measuredOnly Claude Opus 4.8 measured
LegalBench (Vals AI)83.6%Not measuredOnly Claude Opus 4.8 measured
CorpFin (Vals AI)66.7%Not measuredOnly Claude Opus 4.8 measured
TaxEval (Vals AI)75.6%Not measuredOnly Claude Opus 4.8 measured
MortgageTax (Vals AI)69.9%Not measuredOnly Claude Opus 4.8 measured
MedCode (Vals AI)53.2%47.1%Claude Opus 4.8
SimpleQA Verified53.0%60.7%GPT-6 Sol
LMArena Text: science14771389Claude Opus 4.8
LMArena Text: medicine and healthcare14641366Claude Opus 4.8
LMArena Text: legal and government14771396Claude Opus 4.8
LMArena Text: business and finance14581380Claude Opus 4.8
FACTS Benchmark Suite53.5%72.5%GPT-6 Sol
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index18
Web design benchmarks for Claude Opus 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-6 SolLeader
Design Arena: websites12581292GPT-6 Sol
Design Arena: UI components12551290GPT-6 Sol
Design Arena: game dev12641311GPT-6 Sol
Design Arena: data viz12401269GPT-6 Sol
Design Arena: 3D12221314GPT-6 Sol
Design Arena: all code categories12551300GPT-6 Sol
Design Arena: SVG11951315GPT-6 Sol
Design Arena: ASCII art12771222Claude Opus 4.8
LiveBench design78.8%82.2%GPT-6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index245
General benchmarks for Claude Opus 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-6 SolLeader
LiveBench data analysis66.0%81.2%GPT-6 Sol
Public Benefits Bench (Vals AI)68.1%56.6%Claude Opus 4.8
SAGE (Vals AI)54.8%44.8%Claude Opus 4.8
MedScribe (Vals AI)85.8%82.0%Claude Opus 4.8
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%Not measuredOnly Claude Opus 4.8 measured
Long context reasoning (AA-LCR)77.7%83.7%GPT-6 Sol
DTBench94.9%97.3%GPT-6 Sol
LMCA57.5%59.1%GPT-6 Sol
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%58.3%GPT-6 Sol
LMArena Text14611398Claude Opus 4.8
LMArena Text: instruction following14761413Claude Opus 4.8
LMArena Text: creative writing14541378Claude Opus 4.8
LMArena Vision12941240Claude Opus 4.8
LMArena Text: English14681396Claude Opus 4.8
LMArena Text: non-English14501388Claude Opus 4.8
LMArena Text: Chinese15061412Claude Opus 4.8
LMArena Text: German14721379Claude Opus 4.8
LMArena Text: Japanese14421377Claude Opus 4.8
LMArena Text: Korean14311336Claude Opus 4.8
LMArena Text: French14811399Claude Opus 4.8
LMArena Text: Spanish14651387Claude Opus 4.8
LMArena Text: Russian14741402Claude Opus 4.8
LMArena Text: Polish14591372Claude Opus 4.8
LMArena Text: multi-turn14761414Claude Opus 4.8
LMArena Text: longer queries14831416Claude Opus 4.8
LMArena Text: writing and language14611389Claude Opus 4.8
LMArena Text: entertainment and media14401373Claude Opus 4.8
LMArena Vision: English12931229Claude Opus 4.8
LMArena Vision: Chinese1346Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: reading text13031258Claude Opus 4.8
LMArena Vision: humor1282Not measuredOnly Claude Opus 4.8 measured
LMArena Vision: creative writing13011219Claude Opus 4.8
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and GPT-6 Sol
BenchmarkClaude Opus 4.8GPT-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 4.8$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 4.8$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 4.8$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 4.8 and GPT-6 Sol
SpecificationAnthropic Claude Opus 4.8OpenAI GPT-6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026September 22, 2026
Context window1M1.05M
Input $/Mtok$5.00$2.00
Output $/Mtok$25.00$10.00
Coding index65.076.0
Independent measurements behind it65
Cost per solved task$2.17Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than GPT-6 Sol for coding?

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 65.0 for Claude Opus 4.8, though on 5 benchmarks against 6. Pick Claude Opus 4.8 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Opus 4.8 or GPT-6 Sol?

Claude Opus 4.8 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 4.8 only.

Which has the bigger context window, Claude Opus 4.8 or GPT-6 Sol?

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

How many benchmarks is the Claude Opus 4.8 vs GPT-6 Sol comparison based on?

92 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8's coding index rests on 6 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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