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Claude Opus 4.7 vs GPT-6 Sol

GPT-6 Sol leads Claude Opus 4.7 on coding, 76.0 to 67.5 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 21, 2026; 71 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace GPT-6 Sol
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
40
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
31
vs boards won of 71 shared

Claude Opus 4.7 or GPT-6 Sol: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 67.5 for Claude Opus 4.7.

Pick Claude Opus 4.7 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
71
Claude Opus 4.7 only
32
GPT-6 Sol only
30
Like-for-like categories
7 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 4.7 67.5 from 4 benchmarks, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Math, 23.1 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Opus 4.7 31.7% against GPT-6 Sol 90.0%, 58.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against GPT-6 Sol $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.7 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 4.7BarsGPT-6 SolTies
Coding29
Intelligence02
Agentic work33
Reasoning57
Math24
Knowledge52
General234
All shared boards4031
CodingLike-for-likeSix of these boards feed the Vibe Coding Index29
Coding benchmarks for Claude Opus 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-6 SolLeader
LiveBench codingNot measured93.1%Only GPT-6 Sol measured
LMArena WebDev15581683GPT-6 Sol
AA Coding Index73.6Not measuredOnly Claude Opus 4.7 measured
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 4 (Vals AI)Not measured44.4%Only GPT-6 Sol measured
Vibe Code Bench (Vals AI)71.0%87.8%GPT-6 Sol
Code migration (Vals AI)43.9%57.2%GPT-6 Sol
ProgramBench (Vals AI)0.0%2.0%GPT-6 Sol
IOI (Vals AI)Not measured82.6%Only GPT-6 Sol measured
Terminal-Bench 2.1 (Vals AI)68.5%83.2%GPT-6 Sol
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)54.5%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%49.3%GPT-6 Sol
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured2462.0Only GPT-6 Sol measured
LMArena Text: coding15191448Claude Opus 4.7
LMArena Text: software and IT15161433Claude Opus 4.7
LMArena WebDev: React15601685GPT-6 Sol
LMArena WebDev: HTML15541685GPT-6 Sol
LMArena WebDev: from an image15771660GPT-6 Sol
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 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-6 SolLeader
AA Intelligence Index40.747.6GPT-6 Sol
Epoch Capabilities Index156.8163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index33
Agentic work benchmarks for Claude Opus 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-6 SolLeader
AA Agentic Index38.6Not measuredOnly Claude Opus 4.7 measured
Design Arena: agents building web appsNot measured1231Only GPT-6 Sol measured
Design Arena: agents building full-stack appsNot measured1238Only GPT-6 Sol measured
Design Arena: agents building mobile appsNot measured1214Only GPT-6 Sol 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)51.5%49.0%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%15.0%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%28.9%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%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 Telecom88.6%Not measuredOnly Claude Opus 4.7 measured
APEX-Agents49.2%54.3%GPT-6 Sol
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$10,937$14,428GPT-6 Sol
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 19 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index57
Reasoning benchmarks for Claude Opus 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-6 SolLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 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)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%Not measuredOnly Claude Opus 4.7 measured
Humanity's Last Exam (Artificial Analysis run)42.3%47.9%GPT-6 Sol
GPQA Diamond (Epoch AI run)90.2%94.3%GPT-6 Sol
ARC-AGI93.5%95.5%GPT-6 Sol
ARC-AGI-275.8%89.6%GPT-6 Sol
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%56.0%GPT-6 Sol
Mystery game puzzles28.0%56.0%GPT-6 Sol
EBR-bench19.0%53.3%GPT-6 Sol
LMArena Text: hard prompts15061422Claude Opus 4.7
LMArena Text: expert15211437Claude Opus 4.7
LMArena Text: hard prompts in English15081420Claude Opus 4.7
LMArena Vision: diagrams13361270Claude Opus 4.7
LMArena Vision: homework13371286Claude Opus 4.7
Kagi LLM Benchmark80.7%Not measuredOnly Claude Opus 4.7 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 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-6 SolLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 370.2%89.8%GPT-6 Sol
FrontierMath, tier 431.7%90.0%GPT-6 Sol
ProofBench54.0%83.0%GPT-6 Sol
LMArena Text: math14981407Claude Opus 4.7
LMArena Text: mathematical work15091424Claude Opus 4.7
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 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-6 SolLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%47.1%Claude Opus 4.7
SimpleQA Verified51.7%60.7%GPT-6 Sol
LMArena Text: science15081389Claude Opus 4.7
LMArena Text: medicine and healthcare14951366Claude Opus 4.7
LMArena Text: legal and government15041396Claude Opus 4.7
LMArena Text: business and finance14901380Claude Opus 4.7
FACTS Benchmark Suite45.5%72.5%GPT-6 Sol
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Opus 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-6 SolLeader
Design Arena: websitesNot measured1292Only GPT-6 Sol measured
Design Arena: UI componentsNot measured1292Only GPT-6 Sol measured
Design Arena: game devNot measured1314Only GPT-6 Sol measured
Design Arena: data vizNot measured1269Only GPT-6 Sol measured
Design Arena: 3DNot measured1318Only GPT-6 Sol measured
Design Arena: all code categoriesNot measured1301Only GPT-6 Sol measured
Design Arena: SVGNot measured1316Only GPT-6 Sol measured
Design Arena: ASCII artNot measured1225Only GPT-6 Sol measured
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 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-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)56.1%44.8%Claude Opus 4.7
MedScribe (Vals AI)83.0%82.0%Claude Opus 4.7
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%Not measuredOnly Claude Opus 4.7 measured
Long context reasoning (AA-LCR)78.7%83.7%GPT-6 Sol
DTBench94.7%97.3%GPT-6 Sol
LMCA52.2%59.1%GPT-6 Sol
Furniture assembly33.3%58.3%GPT-6 Sol
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901398Claude Opus 4.7
LMArena Text: instruction following14981413Claude Opus 4.7
LMArena Text: creative writing14861378Claude Opus 4.7
LMArena Vision13171240Claude Opus 4.7
LMArena Text: English14961396Claude Opus 4.7
LMArena Text: non-English14801388Claude Opus 4.7
LMArena Text: Chinese15311412Claude Opus 4.7
LMArena Text: German14951379Claude Opus 4.7
LMArena Text: Japanese14741377Claude Opus 4.7
LMArena Text: Korean14641336Claude Opus 4.7
LMArena Text: French15031399Claude Opus 4.7
LMArena Text: Spanish14941387Claude Opus 4.7
LMArena Text: Russian14941402Claude Opus 4.7
LMArena Text: Polish14891372Claude Opus 4.7
LMArena Text: multi-turn15051414Claude Opus 4.7
LMArena Text: longer queries15051416Claude Opus 4.7
LMArena Text: writing and language14921389Claude Opus 4.7
LMArena Text: entertainment and media14741373Claude Opus 4.7
LMArena Vision: English13221229Claude Opus 4.7
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text13271258Claude Opus 4.7
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing13261219Claude Opus 4.7
LMArena Document1495Not measuredOnly Claude Opus 4.7 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 4.7 and GPT-6 Sol
BenchmarkClaude Opus 4.7GPT-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 4.7$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 4.7$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 4.7$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 4.7 and GPT-6 Sol
SpecificationAnthropic Claude Opus 4.7OpenAI GPT-6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026September 22, 2026
Context window1M1.05M
Input $/Mtok$5.00$2.00
Output $/Mtok$25.00$10.00
Coding index67.576.0
Independent measurements behind it45
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than GPT-6 Sol for coding?

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 67.5 for Claude Opus 4.7. Pick Claude Opus 4.7 for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Claude Opus 4.7 or GPT-6 Sol?

Claude Opus 4.7 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 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or GPT-6 Sol?

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

How many benchmarks is the Claude Opus 4.7 vs GPT-6 Sol comparison based on?

71 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7'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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