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Claude Opus 4.6 vs GPT-5.6 Sol

GPT-5.6 Sol leads Claude Opus 4.6 on coding, 73.5 to 57.2 on the Vibe Coding Index, and GPT-5.6 Sol costs 1.3x less per output token ($20.00 vs $25.00 per million). Updated October 22, 2026; 96 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace GPT-5.6 Sol
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
47
GPT-5.6 SolOpenAI
Coding
73.5
Overall
74.7
Output $/M
$20.00
49
vs boards won of 96 shared

Claude Opus 4.6 or GPT-5.6 Sol: which to pick

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 57.2 for Claude Opus 4.6.

Pick Claude Opus 4.6 for work measured by LiveCodeBench (Vals AI) or LMArena Text: coding, where it leads.

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BGPT-5.6 SolOpenAI73.5/1006 independent benchmarks$1.20 per solved task
Shared results
96
Claude Opus 4.6 only
14
GPT-5.6 Sol only
43
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-5.6 Sol 73.5 from 6 benchmarks.
Widest category
Math, 21.7 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Opus 4.6 26.8% against GPT-5.6 Sol 82.9%, 56.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against GPT-5.6 Sol $20.00 per million output tokens, 1.3x apart.
Context window
Claude Opus 4.6 takes 1M tokens, GPT-5.6 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-5.6 SolTies
Coding310
Intelligence02
Agentic work16
Reasoning710
Math24
Knowledge93
Web design08
General256
All shared boards4749
CodingLike-for-likeSix of these boards feed the Vibe Coding Index310
Coding benchmarks for Claude Opus 4.6 and GPT-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 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 measured89.7%Only GPT-5.6 Sol measured
LMArena WebDev15471616GPT-5.6 Sol
AA Coding IndexNot measured77.4Only GPT-5.6 Sol measured
LiveCodeBench (Vals AI)84.7%82.6%Claude Opus 4.6
SWE-bench Verified (Vals AI)78.2%96.2%GPT-5.6 Sol
Terminal-Bench 4 (Vals AI)Not measured37.9%Only GPT-5.6 Sol measured
Vibe Code Bench (Vals AI)57.6%80.5%GPT-5.6 Sol
Code migration (Vals AI)Not measured52.9%Only GPT-5.6 Sol measured
ProgramBench (Vals AI)Not measured1.5%Only GPT-5.6 Sol measured
IOI (Vals AI)Not measured91.2%Only GPT-5.6 Sol measured
Terminal-Bench 2.1 (Vals AI)Not measured85.8%Only GPT-5.6 Sol measured
Vibe Code Bench 1-100 (Vals AI)Not measured20.0%Only GPT-5.6 Sol measured
SkillsBench (Vals AI)Not measured54.1%Only GPT-5.6 Sol measured
CyberBench (Vals AI)Not measured76.3%Only GPT-5.6 Sol measured
SciCodeNot measured57.8%Only GPT-5.6 Sol measured
Terminal-Bench Hard (Artificial Analysis run)48.5%65.9%GPT-5.6 Sol
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%47.5%GPT-5.6 Sol
FrontierSWENot measured32.2%Only GPT-5.6 Sol measured
GSO-Bench41.2%76.5%GPT-5.6 Sol
WeirdML78.0%88.8%GPT-5.6 Sol
MirrorCodeNot measured20.0%Only GPT-5.6 Sol measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured2176.9Only GPT-5.6 Sol measured
LMArena Text: coding15341496Claude Opus 4.6
LMArena Text: software and IT15271489Claude Opus 4.6
LMArena WebDev: React15391620GPT-5.6 Sol
LMArena WebDev: HTML15591618GPT-5.6 Sol
LMArena WebDev: from an image15431609GPT-5.6 Sol
SciCodeNot measured10.8%Only GPT-5.6 Sol measured
Neither model has a result on the other 7 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.6 and GPT-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 SolLeader
AA Intelligence Index31.947.0GPT-5.6 Sol
Epoch Capabilities Index155.7162.8GPT-5.6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index16
Agentic work benchmarks for Claude Opus 4.6 and GPT-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 SolLeader
AA Agentic IndexNot measured50.2Only GPT-5.6 Sol measured
Design Arena: agents building web apps12061245GPT-5.6 Sol
Design Arena: agents building full-stack apps12201261GPT-5.6 Sol
Design Arena: agents building mobile apps12071248GPT-5.6 Sol
Design Arena: agents building Android apps11971240GPT-5.6 Sol
Design Arena: agents building Godot gamesNot measured1260Only GPT-5.6 Sol measured
Design Arena: agents building games12121266GPT-5.6 Sol
Design Arena: HTML slidesNot measured1236Only GPT-5.6 Sol measured
Design Arena: PowerPoint slidesNot measured1215Only GPT-5.6 Sol measured
LiveBench researchNot measured54.5%Only GPT-5.6 Sol measured
LiveBench browserNot measured88.0%Only GPT-5.6 Sol measured
LiveBench long agenticNot measured48.5%Only GPT-5.6 Sol measured
SREBench (Vals AI)Not measured30.5%Only GPT-5.6 Sol measured
Finance Agent (Vals AI)Not measured53.8%Only GPT-5.6 Sol measured
Tax Agent Bench (Vals AI)Not measured31.1%Only GPT-5.6 Sol measured
Legal Research Bench (Vals AI)Not measured48.1%Only GPT-5.6 Sol measured
Excel Modeling Benchmark (Vals AI)Not measured72.3%Only GPT-5.6 Sol measured
BioMysteryBench (Vals AI)Not measured71.1%Only GPT-5.6 Sol measured
Terminal-Bench-Science (Vals AI)Not measured20.0%Only GPT-5.6 Sol measured
Vals Science IndexNot measured41.5%Only GPT-5.6 Sol measured
Time Horizon Index (Vals AI)Not measured23.8%Only GPT-5.6 Sol measured
CUA-bench (Vals AI)Not measured8.3%Only GPT-5.6 Sol measured
τ²-Bench Telecom92.1%85.1%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
OSWorld 2.0Not measured27.3%Only GPT-5.6 Sol measured
BALROGNot measured60.0%Only GPT-5.6 Sol measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
PostTrainBenchNot measured36.2%Only GPT-5.6 Sol measured
Vending-Bench 2$8,018$9,619GPT-5.6 Sol
LMArena SearchNot measured1261Only GPT-5.6 Sol measured
Neither model has a result on the other 9 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index710
Reasoning benchmarks for Claude Opus 4.6 and GPT-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 SolLeader
GPQA Diamond89.7%95.2%GPT-5.6 Sol
LiveBench reasoningNot measured91.7%Only GPT-5.6 Sol measured
MysteryMechanism (Vals AI)Not measured33.3%Only GPT-5.6 Sol measured
MMMU Pro (Vals AI)83.9%88.8%GPT-5.6 Sol
GPQA Diamond (Artificial Analysis run)89.6%94.1%GPT-5.6 Sol
Humanity's Last Exam (Artificial Analysis run)39.9%49.5%GPT-5.6 Sol
GPQA Diamond (Epoch AI run)90.5%93.5%GPT-5.6 Sol
ARC-AGI94.0%97.5%GPT-5.6 Sol
ARC-AGI-269.2%92.5%GPT-5.6 Sol
SimpleBench67.6%64.8%Claude Opus 4.6
Chess puzzles21.0%59.0%GPT-5.6 Sol
Mystery game puzzles25.0%58.0%GPT-5.6 Sol
EBR-bench12.7%44.8%GPT-5.6 Sol
LMArena Text: hard prompts15251483Claude Opus 4.6
LMArena Text: expert15441517Claude Opus 4.6
LMArena Text: hard prompts in English15301477Claude Opus 4.6
LMArena Vision: diagrams13401305Claude Opus 4.6
LMArena Vision: homework13371305Claude Opus 4.6
Kagi LLM Benchmark83.6%67.0%Claude Opus 4.6
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-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 SolLeader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
OTIS Mock AIME94.4%100.0%GPT-5.6 Sol
FrontierMath, tiers 1 to 366.0%89.1%GPT-5.6 Sol
FrontierMath, tier 426.8%82.9%GPT-5.6 Sol
ProofBench50.0%83.0%GPT-5.6 Sol
LMArena Text: math15181473Claude Opus 4.6
LMArena Text: mathematical work15251496Claude 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 index93
Knowledge benchmarks for Claude Opus 4.6 and GPT-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 SolLeader
MMLU Pro89.1%89.1%Claude Opus 4.6
LegalBench (Vals AI)85.3%87.0%GPT-5.6 Sol
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%64.4%Claude Opus 4.6
TaxEval (Vals AI)76.0%74.8%Claude Opus 4.6
MortgageTax (Vals AI)68.5%67.3%Claude Opus 4.6
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%44.0%Claude Opus 4.6
SimpleQA Verified47.0%69.7%GPT-5.6 Sol
LMArena Text: science15191455Claude Opus 4.6
LMArena Text: medicine and healthcare15041431Claude Opus 4.6
LMArena Text: legal and government15121476Claude Opus 4.6
LMArena Text: business and finance14971457Claude Opus 4.6
FACTS Benchmark Suite41.5%52.4%GPT-5.6 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 Opus 4.6 and GPT-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 SolLeader
Design Arena: websites12911321GPT-5.6 Sol
Design Arena: UI components12811335GPT-5.6 Sol
Design Arena: game dev12771367GPT-5.6 Sol
Design Arena: data viz12791322GPT-5.6 Sol
Design Arena: 3D12731384GPT-5.6 Sol
Design Arena: all code categories12881341GPT-5.6 Sol
Design Arena: SVG12271314GPT-5.6 Sol
Design Arena: ASCII art12551304GPT-5.6 Sol
LiveBench designNot measured81.6%Only GPT-5.6 Sol measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index256
General benchmarks for Claude Opus 4.6 and GPT-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 SolLeader
LiveBench data analysisNot measured79.8%Only GPT-5.6 Sol measured
Public Benefits Bench (Vals AI)Not measured66.5%Only GPT-5.6 Sol measured
SAGE (Vals AI)51.6%52.6%GPT-5.6 Sol
MedScribe (Vals AI)86.7%85.2%Claude Opus 4.6
Vals Multimodal IndexNot measured72.6%Only GPT-5.6 Sol measured
IFBench53.1%72.7%GPT-5.6 Sol
Long context reasoning (AA-LCR)78.0%84.0%GPT-5.6 Sol
DTBench91.2%95.7%GPT-5.6 Sol
LMCA55.8%58.5%GPT-5.6 Sol
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Surface Evolver BenchNot measured93.1%Only GPT-5.6 Sol measured
Furniture assembly28.3%56.7%GPT-5.6 Sol
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011457Claude Opus 4.6
LMArena Text: instruction following15211483Claude Opus 4.6
LMArena Text: creative writing15051449Claude Opus 4.6
LMArena Vision13161281Claude Opus 4.6
LMArena Text: English15111457Claude Opus 4.6
LMArena Text: non-English14881451Claude Opus 4.6
LMArena Text: Chinese15511525Claude Opus 4.6
LMArena Text: German15001476Claude Opus 4.6
LMArena Text: Japanese14881472Claude Opus 4.6
LMArena Text: Korean14641442Claude Opus 4.6
LMArena Text: French15121472Claude Opus 4.6
LMArena Text: Spanish15101443Claude Opus 4.6
LMArena Text: Russian14971471Claude Opus 4.6
LMArena Text: Polish14991459Claude Opus 4.6
LMArena Text: multi-turn15111461Claude Opus 4.6
LMArena Text: longer queries15181481Claude Opus 4.6
LMArena Text: writing and language15021462Claude Opus 4.6
LMArena Text: entertainment and media14921450Claude Opus 4.6
LMArena Vision: English13241280Claude Opus 4.6
LMArena Vision: Chinese13701313Claude Opus 4.6
LMArena Vision: reading text13261290Claude Opus 4.6
LMArena Vision: humor13141246Claude Opus 4.6
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing13311283Claude Opus 4.6
LMArena Document15071483Claude Opus 4.6
Neither model has a result on the other 8 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-5.6 Sol
BenchmarkClaude Opus 4.6GPT-5.6 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-5.6 Sol$0.014Fits in one request

GPT-5.6 Sol costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
GPT-5.6 Sol$0.260Fits in one request

GPT-5.6 Sol costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
GPT-5.6 Sol$1.00Fits in one request

GPT-5.6 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-5.6 Sol
SpecificationAnthropic Claude Opus 4.6OpenAI GPT-5.6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026July 9, 2026
Context window1M1.05M
Input $/Mtok$5.00$4.00
Output $/Mtok$25.00$20.00
Coding index57.273.5
Independent measurements behind it46
Cost per solved task$1.56$1.20
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than GPT-5.6 Sol for coding?

Pick GPT-5.6 Sol for coding: it scores 73.5 on the Vibe Coding Index against 57.2 for Claude Opus 4.6. Pick Claude Opus 4.6 for work measured by LiveCodeBench (Vals AI) or LMArena Text: coding, where it leads.

Which is cheaper, Claude Opus 4.6 or GPT-5.6 Sol?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and GPT-5.6 Sol $1.20.

Which has the bigger context window, Claude Opus 4.6 or GPT-5.6 Sol?

GPT-5.6 Sol, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.6 vs GPT-5.6 Sol comparison based on?

96 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-5.6 Sol's on 6. Where only one model has a result, the page says so instead of naming a winner.

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