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Claude Opus 4.7 vs GPT-5.5

GPT-5.5 leads Claude Opus 4.7 on coding, 71.3 to 67.5 on the Vibe Coding Index, and Claude Opus 4.7 costs 1.2x less per output token ($25.00 vs $30.00 per million). Updated October 22, 2026; 101 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace GPT-5.5
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
57
GPT-5.5OpenAI
Coding
71.3
Overall
69.2
Output $/M
$30.00
44
vs boards won of 101 shared

Claude Opus 4.7 or GPT-5.5: which to pick

Pick GPT-5.5 for coding: it scores 71.3 on the Vibe Coding Index against 67.5 for Claude Opus 4.7.

Pick Claude Opus 4.7 for output tokens 1.2x cheaper ($25.00 vs $30.00 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BGPT-5.5OpenAI71.3/1005 independent benchmarks$1.65 per solved task
Shared results
101
Claude Opus 4.7 only
2
GPT-5.5 only
33
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-5.5 71.3 from 5 benchmarks.
Widest category
Math, 12.9 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: Claude Opus 4.7 31.7% against GPT-5.5 72.5%, 40.8 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against GPT-5.5 $30.00 per million output tokens, 1.2x apart.
Context window
Claude Opus 4.7 takes 1M tokens, GPT-5.5 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-5.5Ties
Coding910
Intelligence11
Agentic work55
Reasoning512
Math42
Knowledge94
General2410
All shared boards5744
CodingLike-for-likeSix of these boards feed the Vibe Coding Index910
Coding benchmarks for Claude Opus 4.7 and GPT-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
LiveBench codingNot measured85.1%Only GPT-5.5 measured
LMArena WebDev15581513Claude Opus 4.7
AA Coding Index73.674.9GPT-5.5
LiveCodeBench (Vals AI)85.1%85.3%GPT-5.5
SWE-bench Verified (Vals AI)82.0%82.6%GPT-5.5
Vibe Code Bench (Vals AI)71.0%69.8%Claude Opus 4.7
Code migration (Vals AI)43.9%45.2%GPT-5.5
ProgramBench (Vals AI)0.0%0.5%GPT-5.5
Terminal-Bench 2.1 (Vals AI)68.5%76.4%GPT-5.5
SkillsBench (Vals AI)Not measured62.5%Only GPT-5.5 measured
SciCodeNot measured56.1%Only GPT-5.5 measured
Terminal-Bench Hard (Artificial Analysis run)54.5%60.6%GPT-5.5
Terminal-Bench80.2%84.7%GPT-5.5
FrontierCode38.5%43.0%GPT-5.5
GSO-Bench44.1%40.2%Claude Opus 4.7
WeirdML76.4%84.9%GPT-5.5
MirrorCode31.1%10.0%Claude Opus 4.7
ALE-BenchNot measured1943.0Only GPT-5.5 measured
LMArena Text: coding15191494Claude Opus 4.7
LMArena Text: software and IT15161493Claude Opus 4.7
LMArena WebDev: React15601506Claude Opus 4.7
LMArena WebDev: HTML15541543Claude Opus 4.7
LMArena WebDev: from an image15771532Claude Opus 4.7
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Claude Opus 4.7 and GPT-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
AA Intelligence Index40.738.4Claude Opus 4.7
Epoch Capabilities Index156.8159.7GPT-5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index55
Agentic work benchmarks for Claude Opus 4.7 and GPT-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
AA Agentic Index38.636.4Claude Opus 4.7
Design Arena: agents building web appsNot measured1117Only GPT-5.5 measured
Design Arena: agents building full-stack appsNot measured1089Only GPT-5.5 measured
Design Arena: agents building mobile appsNot measured1142Only GPT-5.5 measured
Design Arena: agents building Android appsNot measured1164Only GPT-5.5 measured
Design Arena: agents building Godot gamesNot measured1173Only GPT-5.5 measured
Design Arena: agents building gamesNot measured1179Only GPT-5.5 measured
Design Arena: HTML slidesNot measured1017Only GPT-5.5 measured
Design Arena: PowerPoint slidesNot measured1084Only GPT-5.5 measured
LiveBench researchNot measured61.6%Only GPT-5.5 measured
LiveBench browserNot measured48.0%Only GPT-5.5 measured
LiveBench long agenticNot measured44.6%Only GPT-5.5 measured
SREBench (Vals AI)Not measured3.8%Only GPT-5.5 measured
Finance Agent (Vals AI)51.5%51.8%GPT-5.5
Tax Agent Bench (Vals AI)23.7%21.8%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%40.4%GPT-5.5
Excel Modeling Benchmark (Vals AI)63.7%64.5%GPT-5.5
Time Horizon Index (Vals AI)Not measured8.3%Only GPT-5.5 measured
τ²-Bench Telecom88.6%93.9%GPT-5.5
APEX-Agents49.2%55.1%GPT-5.5
Remote Labor IndexNot measured6.3%Only GPT-5.5 measured
OSWorld 2.018.2%13.0%Claude Opus 4.7
DeepResearch BenchNot measured54.0%Only GPT-5.5 measured
PostTrainBench28.6%27.2%Claude Opus 4.7
Vending-Bench 2$10,937$7,524Claude Opus 4.7
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index512
Reasoning benchmarks for Claude Opus 4.7 and GPT-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
GPQA Diamond90.2%93.2%GPT-5.5
LiveBench reasoningNot measured89.7%Only GPT-5.5 measured
MMMU Pro (Vals AI)85.5%88.3%GPT-5.5
GPQA Diamond (Artificial Analysis run)91.4%93.5%GPT-5.5
Humanity's Last Exam (Artificial Analysis run)42.3%45.8%GPT-5.5
GPQA Diamond (Epoch AI run)90.2%90.7%GPT-5.5
ARC-AGI93.5%95.0%GPT-5.5
ARC-AGI-275.8%85.0%GPT-5.5
SimpleBench61.7%69.0%GPT-5.5
Chess puzzles41.0%63.0%GPT-5.5
Mystery game puzzles28.0%56.0%GPT-5.5
EBR-bench19.0%34.3%GPT-5.5
LMArena Text: hard prompts15061489Claude Opus 4.7
LMArena Text: expert15211507Claude Opus 4.7
LMArena Text: hard prompts in English15081483Claude Opus 4.7
LMArena Vision: diagrams13361325Claude Opus 4.7
LMArena Vision: homework13371332Claude Opus 4.7
Kagi LLM Benchmark80.7%88.8%GPT-5.5
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index42
Math benchmarks for Claude Opus 4.7 and GPT-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%84.4%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%85.3%GPT-5.5
FrontierMath, tier 431.7%72.5%GPT-5.5
ProofBench54.0%50.0%Claude Opus 4.7
LMArena Text: math14981487Claude Opus 4.7
LMArena Text: mathematical work15091496Claude 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 index94
Knowledge benchmarks for Claude Opus 4.7 and GPT-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
MMLU Pro89.9%88.1%Claude Opus 4.7
LegalBench (Vals AI)85.3%86.5%GPT-5.5
CaseLaw (Vals AI)68.4%66.2%Claude Opus 4.7
CorpFin (Vals AI)66.1%68.4%GPT-5.5
TaxEval (Vals AI)75.3%75.0%Claude Opus 4.7
MortgageTax (Vals AI)70.3%68.8%Claude Opus 4.7
MedCode (Vals AI)54.9%49.1%Claude Opus 4.7
SimpleQA Verified51.7%63.0%GPT-5.5
LMArena Text: science15081485Claude Opus 4.7
LMArena Text: medicine and healthcare14951465Claude Opus 4.7
LMArena Text: legal and government15041491Claude Opus 4.7
LMArena Text: business and finance14901478Claude Opus 4.7
FACTS Benchmark Suite45.5%66.7%GPT-5.5
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-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
Design Arena: websitesNot measured1256Only GPT-5.5 measured
Design Arena: UI componentsNot measured1257Only GPT-5.5 measured
Design Arena: game devNot measured1293Only GPT-5.5 measured
Design Arena: data vizNot measured1264Only GPT-5.5 measured
Design Arena: 3DNot measured1197Only GPT-5.5 measured
Design Arena: all code categoriesNot measured1260Only GPT-5.5 measured
Design Arena: SVGNot measured1234Only GPT-5.5 measured
Design Arena: ASCII artNot measured1255Only GPT-5.5 measured
LiveBench designNot measured70.3%Only GPT-5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index2410
General benchmarks for Claude Opus 4.7 and GPT-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
LiveBench data analysisNot measured81.6%Only GPT-5.5 measured
Public Benefits Bench (Vals AI)Not measured60.9%Only GPT-5.5 measured
SAGE (Vals AI)56.1%51.5%Claude Opus 4.7
MedScribe (Vals AI)83.0%86.9%GPT-5.5
Vals Multimodal Index67.4%68.1%GPT-5.5
IFBench58.6%75.9%GPT-5.5
Long context reasoning (AA-LCR)78.7%84.3%GPT-5.5
DTBench94.7%96.0%GPT-5.5
LMCA52.2%54.3%GPT-5.5
Surface Evolver BenchNot measured88.1%Only GPT-5.5 measured
Furniture assembly33.3%44.2%GPT-5.5
ExploitBench26.5%47.4%GPT-5.5
CL-bench LifeNot measured22.2%Only GPT-5.5 measured
LMArena Text14901471Claude Opus 4.7
LMArena Text: instruction following14981478Claude Opus 4.7
LMArena Text: creative writing14861455Claude Opus 4.7
LMArena Vision13171297Claude Opus 4.7
LMArena Text: English14961470Claude Opus 4.7
LMArena Text: non-English14801467Claude Opus 4.7
LMArena Text: Chinese15311534GPT-5.5
LMArena Text: German14951480Claude Opus 4.7
LMArena Text: Japanese14741499GPT-5.5
LMArena Text: Korean14641460Claude Opus 4.7
LMArena Text: French15031485Claude Opus 4.7
LMArena Text: Spanish14941468Claude Opus 4.7
LMArena Text: Russian14941473Claude Opus 4.7
LMArena Text: Polish14891465Claude Opus 4.7
LMArena Text: multi-turn15051476Claude Opus 4.7
LMArena Text: longer queries15051484Claude Opus 4.7
LMArena Text: writing and language14921466Claude Opus 4.7
LMArena Text: entertainment and media14741449Claude Opus 4.7
LMArena Vision: English13221292Claude Opus 4.7
LMArena Vision: Chinese13711360Claude Opus 4.7
LMArena Vision: reading text13271306Claude Opus 4.7
LMArena Vision: humor13091293Claude Opus 4.7
LMArena Vision: recognizing things12781231Claude Opus 4.7
LMArena Vision: creative writing13261301Claude Opus 4.7
LMArena Document14951486Claude Opus 4.7
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 4.7 and GPT-5.5
BenchmarkClaude Opus 4.7GPT-5.5Leader
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-5.5$0.020Fits in one request

Claude Opus 4.7 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
GPT-5.5$0.340Fits in one request

Claude Opus 4.7 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
GPT-5.5$1.30Fits in one request

Claude Opus 4.7 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-5.5
SpecificationAnthropic Claude Opus 4.7OpenAI GPT-5.5
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026April 24, 2026
Context window1M1.05M
Input $/Mtok$5.00$5.00
Output $/Mtok$25.00$30.00
Coding index67.571.3
Independent measurements behind it45
Cost per solved task$2.95$1.65
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than GPT-5.5 for coding?

Pick GPT-5.5 for coding: it scores 71.3 on the Vibe Coding Index against 67.5 for Claude Opus 4.7. Pick Claude Opus 4.7 for output tokens 1.2x cheaper ($25.00 vs $30.00 per million) and work measured by LMArena WebDev or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, Claude Opus 4.7 or GPT-5.5?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.5 costs $5.00 and $30.00. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and GPT-5.5 $1.65.

Which has the bigger context window, Claude Opus 4.7 or GPT-5.5?

GPT-5.5, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.7 vs GPT-5.5 comparison based on?

101 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and GPT-5.5's on 5. Where only one model has a result, the page says so instead of naming a winner.

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