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Claude Opus 5.5 vs GPT-5.6 Sol

Updated October 21, 2026. 99 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 5.5 Replace GPT-5.6 Sol
Claude Opus 5.5Anthropic
Coding
92.2
Overall
57.6
Output $/M
$20.00
91
GPT-5.6 SolOpenAI
Coding
76.7
Overall
47.0
Output $/M
$20.00
7
vs boards won of 99 shared, 1 tied

Decision reading

Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 76.7 for GPT-5.6 Sol.

Pick GPT-5.6 Sol when the context window is larger, 1.05M against 1M tokens, or when what matters is CyberBench (Vals AI) or ALE-Bench, where it leads.

Model AClaude Opus 5.5Anthropic92.2/1002 independent benchmarksNo cost per solved taskModel BGPT-5.6 SolOpenAI76.7/1002 independent benchmarks$1.20 per solved task
Shared results
99
Claude Opus 5.5 only
8
GPT-5.6 Sol only
37
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 5.5 92.2 from 2 benchmarks, GPT-5.6 Sol 76.7 from 2 benchmarks.
Widest category
Agentic work, 15.1 points apart on average over 17 shared benchmarks.
Widest single gap
Time Horizon Index (Vals AI): Claude Opus 5.5 91.3% against GPT-5.6 Sol 23.8%, 67.5 points apart on a 0 to 100 scale.
Output price
Both cost $20.00 per million output tokens.
Context window
Claude Opus 5.5 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 5.5BarsGPT-5.6 SolTies
Coding182
Intelligence20
Agentic work143
Reasoning131
Math501 tie
Knowledge60
Web design80
General251
All shared boards9171 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index182
Coding benchmarks for Claude Opus 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-5.6 SolLeader
LiveBench coding96.3%89.7%Claude Opus 5.5
LMArena WebDev18071616Claude Opus 5.5
AA Coding IndexNot measured77.4Only GPT-5.6 Sol measured
LiveCodeBench (Vals AI)Not measured82.6%Only GPT-5.6 Sol measured
SWE-bench Verified (Vals AI)Not measured96.2%Only GPT-5.6 Sol measured
Terminal-Bench 4 (Vals AI)65.2%37.9%Claude Opus 5.5
Vibe Code Bench (Vals AI)90.3%80.5%Claude Opus 5.5
Code migration (Vals AI)66.7%52.9%Claude Opus 5.5
ProgramBench (Vals AI)18.5%1.5%Claude Opus 5.5
IOI (Vals AI)95.1%91.2%Claude Opus 5.5
Terminal-Bench 2.1 (Vals AI)87.6%85.8%Claude Opus 5.5
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%20.0%Claude Opus 5.5
SkillsBench (Vals AI)Not measured54.1%Only GPT-5.6 Sol measured
CyberBench (Vals AI)74.6%76.3%GPT-5.6 Sol
SciCode66.9%57.8%Claude Opus 5.5
Terminal-Bench Hard (Artificial Analysis run)Not measured65.9%Only GPT-5.6 Sol measured
FrontierCode54.6%47.5%Claude Opus 5.5
FrontierSWE62.3%32.2%Claude Opus 5.5
GSO-BenchNot measured76.5%Only GPT-5.6 Sol measured
WeirdMLNot measured88.8%Only GPT-5.6 Sol measured
MirrorCode77.4%20.0%Claude Opus 5.5
ALE-Bench2147.42176.9GPT-5.6 Sol
LMArena Text: coding15451496Claude Opus 5.5
LMArena Text: software and IT15381489Claude Opus 5.5
LMArena WebDev: React18551620Claude Opus 5.5
LMArena WebDev: HTML17531618Claude Opus 5.5
LMArena WebDev: from an image17531609Claude Opus 5.5
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-5.6 SolLeader
AA Intelligence Index57.647.0Claude Opus 5.5
Epoch Capabilities Index168.8162.8Claude Opus 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index143
Agentic work benchmarks for Claude Opus 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-5.6 SolLeader
AA Agentic IndexNot measured50.2Only GPT-5.6 Sol measured
Design Arena: agents building web apps13161245Claude Opus 5.5
Design Arena: agents building full-stack appsNot measured1261Only GPT-5.6 Sol measured
Design Arena: agents building mobile apps13111249Claude Opus 5.5
Design Arena: agents building Android appsNot measured1246Only GPT-5.6 Sol measured
Design Arena: agents building Godot gamesNot measured1260Only GPT-5.6 Sol measured
Design Arena: agents building gamesNot measured1267Only GPT-5.6 Sol measured
Design Arena: HTML slidesNot measured1286Only GPT-5.6 Sol measured
Design Arena: PowerPoint slidesNot measured1240Only GPT-5.6 Sol measured
Design Arena: spreadsheets1359Not measuredOnly Claude Opus 5.5 measured
LiveBench research85.0%54.5%Claude Opus 5.5
LiveBench browser80.0%88.0%GPT-5.6 Sol
LiveBench long agentic85.0%48.5%Claude Opus 5.5
SREBench (Vals AI)33.6%30.5%Claude Opus 5.5
Finance Agent (Vals AI)58.6%53.8%Claude Opus 5.5
Tax Agent Bench (Vals AI)45.6%31.1%Claude Opus 5.5
Legal Research Bench (Vals AI)50.5%48.1%Claude Opus 5.5
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%72.3%Claude Opus 5.5
BioMysteryBench (Vals AI)79.3%71.1%Claude Opus 5.5
Terminal-Bench-Science (Vals AI)47.1%20.0%Claude Opus 5.5
Vals Science Index58.7%41.5%Claude Opus 5.5
Time Horizon Index (Vals AI)91.3%23.8%Claude Opus 5.5
CUA-bench (Vals AI)14.0%8.3%Claude Opus 5.5
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
τ²-Bench TelecomNot measured85.1%Only GPT-5.6 Sol measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
Remote Labor Index21.3%Not measuredOnly Claude Opus 5.5 measured
OSWorld 2.0Not measured27.3%Only GPT-5.6 Sol measured
BALROGNot measured60.0%Only GPT-5.6 Sol measured
PostTrainBenchNot measured36.2%Only GPT-5.6 Sol measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235$9,619GPT-5.6 Sol
LMArena Search12131261GPT-5.6 Sol
Neither model has a result on the other 5 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index131
Reasoning benchmarks for Claude Opus 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-5.6 SolLeader
GPQA DiamondNot measured95.2%Only GPT-5.6 Sol measured
LiveBench reasoning92.2%91.7%Claude Opus 5.5
MysteryMechanism (Vals AI)49.5%33.3%Claude Opus 5.5
MMMU Pro (Vals AI)Not measured88.8%Only GPT-5.6 Sol measured
GPQA Diamond (Artificial Analysis run)Not measured94.1%Only GPT-5.6 Sol measured
Humanity's Last Exam (Artificial Analysis run)61.4%49.5%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%93.5%GPT-5.6 Sol
ARC-AGI98.5%97.5%Claude Opus 5.5
ARC-AGI-293.3%92.5%Claude Opus 5.5
SimpleBenchNot measured64.8%Only GPT-5.6 Sol measured
Chess puzzles67.0%59.0%Claude Opus 5.5
Mystery game puzzles71.0%58.0%Claude Opus 5.5
EBR-bench71.4%44.8%Claude Opus 5.5
LMArena Text: hard prompts15361483Claude Opus 5.5
LMArena Text: expert15491517Claude Opus 5.5
LMArena Text: hard prompts in English15351477Claude Opus 5.5
LMArena Vision: diagrams13451305Claude Opus 5.5
LMArena Vision: homework13621305Claude Opus 5.5
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Claude Opus 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-5.6 SolLeader
OTIS Mock AIME100.0%100.0%Tie
FrontierMath, tiers 1 to 391.2%89.1%Claude Opus 5.5
FrontierMath, tier 495.0%82.9%Claude Opus 5.5
ProofBench100.0%83.0%Claude Opus 5.5
LMArena Text: math15181473Claude Opus 5.5
LMArena Text: mathematical work15161496Claude Opus 5.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Claude Opus 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-5.6 SolLeader
MMLU ProNot measured89.1%Only GPT-5.6 Sol measured
LegalBench (Vals AI)Not measured87.0%Only GPT-5.6 Sol measured
CorpFin (Vals AI)Not measured64.4%Only GPT-5.6 Sol measured
TaxEval (Vals AI)Not measured74.8%Only GPT-5.6 Sol measured
MortgageTax (Vals AI)Not measured67.3%Only GPT-5.6 Sol measured
MedCode (Vals AI)49.8%44.0%Claude Opus 5.5
SimpleQA Verified72.2%69.7%Claude Opus 5.5
LMArena Text: science15241455Claude Opus 5.5
LMArena Text: medicine and healthcare15091431Claude Opus 5.5
LMArena Text: legal and government15181476Claude Opus 5.5
LMArena Text: business and finance14941457Claude Opus 5.5
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-5.6 SolLeader
Design Arena: websites13351321Claude Opus 5.5
Design Arena: UI components13901338Claude Opus 5.5
Design Arena: game dev14571368Claude Opus 5.5
Design Arena: data viz13971323Claude Opus 5.5
Design Arena: 3D14771385Claude Opus 5.5
Design Arena: all code categories13901341Claude Opus 5.5
Design Arena: SVG13321316Claude Opus 5.5
Design Arena: ASCII artNot measured1302Only GPT-5.6 Sol measured
LiveBench design86.9%81.6%Claude Opus 5.5
GeneralLike-for-likePublic boards, shown as published, kept out of the index251
General benchmarks for Claude Opus 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-5.6 SolLeader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%79.8%Claude Opus 5.5
Public Benefits Bench (Vals AI)70.6%66.5%Claude Opus 5.5
SAGE (Vals AI)45.8%52.6%GPT-5.6 Sol
MedScribe (Vals AI)91.4%85.2%Claude Opus 5.5
Vals Multimodal IndexNot measured72.6%Only GPT-5.6 Sol measured
IFBenchNot measured72.7%Only GPT-5.6 Sol measured
Long context reasoning (AA-LCR)84.7%84.0%Claude Opus 5.5
DTBench98.9%95.7%Claude Opus 5.5
LMCA68.2%58.5%Claude Opus 5.5
Surface Evolver BenchNot measured93.1%Only GPT-5.6 Sol measured
Furniture assembly83.3%56.7%Claude Opus 5.5
LMArena Text15161457Claude Opus 5.5
LMArena Text: instruction following15371483Claude Opus 5.5
LMArena Text: creative writing15351449Claude Opus 5.5
LMArena Vision13211281Claude Opus 5.5
LMArena Text: English15191457Claude Opus 5.5
LMArena Text: non-English15071451Claude Opus 5.5
LMArena Text: Chinese15821525Claude Opus 5.5
LMArena Text: GermanNot measured1476Only GPT-5.6 Sol measured
LMArena Text: Japanese15341472Claude Opus 5.5
LMArena Text: KoreanNot measured1442Only GPT-5.6 Sol measured
LMArena Text: French14931472Claude Opus 5.5
LMArena Text: Spanish15081443Claude Opus 5.5
LMArena Text: Russian15171471Claude Opus 5.5
LMArena Text: PolishNot measured1459Only GPT-5.6 Sol measured
LMArena Text: multi-turn15011461Claude Opus 5.5
LMArena Text: longer queries15321481Claude Opus 5.5
LMArena Text: writing and language15321462Claude Opus 5.5
LMArena Text: entertainment and media15151450Claude Opus 5.5
LMArena Vision: English13171280Claude Opus 5.5
LMArena Vision: ChineseNot measured1313Only GPT-5.6 Sol measured
LMArena Vision: reading text13261290Claude Opus 5.5
LMArena Vision: humorNot measured1246Only GPT-5.6 Sol measured
LMArena Vision: creative writing13201283Claude Opus 5.5
LMArena DocumentNot measured1483Only GPT-5.6 Sol 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 5.5 and GPT-5.6 Sol
BenchmarkClaude Opus 5.5GPT-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 5.5$0.014Fits in one request
GPT-5.6 Sol$0.014Fits in one request

Same cost

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
GPT-5.6 Sol$0.260Fits in one request

Same cost

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits in one request
GPT-5.6 Sol$1.00Fits in one request

Same cost

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 5.5 and GPT-5.6 Sol
SpecificationAnthropic Claude Opus 5.5OpenAI GPT-5.6 Sol
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 22, 2026July 9, 2026
Context window1M1.05M
Input $/Mtok$4.00$4.00
Output $/Mtok$20.00$20.00
Coding index92.276.7
Independent measurements behind it22
Cost per solved taskNot computable$1.20
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than GPT-5.6 Sol for coding?

Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 76.7 for GPT-5.6 Sol. Pick GPT-5.6 Sol when the context window is larger, 1.05M against 1M tokens, or when what matters is CyberBench (Vals AI) or ALE-Bench, where it leads.

Which is cheaper, Claude Opus 5.5 or GPT-5.6 Sol?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; GPT-5.6 Sol costs $4.00 and $20.00. Cost per solved task is known for GPT-5.6 Sol only.

Which has the bigger context window, Claude Opus 5.5 or GPT-5.6 Sol?

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

How many benchmarks is the Claude Opus 5.5 vs GPT-5.6 Sol comparison based on?

99 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5.5's coding index rests on 2 independent benchmarks and GPT-5.6 Sol's on 2. Where only one model has a result, the page says so instead of naming a winner.

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