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Claude Opus 4.7 vs GPT-5.4 Nano

Claude Opus 4.7 leads GPT-5.4 Nano on coding, 67.5 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 20.0x less per output token ($1.25 vs $25.00 per million). Updated October 22, 2026; 83 benchmarks have a result for both.

Replace Claude Opus 4.7 Replace GPT-5.4 Nano
Claude Opus 4.7Anthropic
Coding
67.5
Overall
71.6
Output $/M
$25.00
81
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
2
vs boards won of 83 shared

Claude Opus 4.7 or GPT-5.4 Nano: which to pick

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.

Pick GPT-5.4 Nano for output tokens 20.0x cheaper ($1.25 vs $25.00 per million) and a lower cost per solved task ($0.14 against $2.95).

Model AClaude Opus 4.7Anthropic67.5/1004 independent benchmarks$2.95 per solved taskModel BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task
Shared results
83
Claude Opus 4.7 only
20
GPT-5.4 Nano only
2
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-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Reasoning, 22.5 points apart on average over 15 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.7 75.8% against GPT-5.4 Nano 5.7%, 70.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against GPT-5.4 Nano $1.25 per million output tokens, 20.0x apart.
Context window
Claude Opus 4.7 takes 1M tokens, GPT-5.4 Nano 400K.

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-5.4 NanoTies
Coding100
Intelligence20
Agentic work60
Reasoning141
Math70
Knowledge120
General301
All shared boards812
CodingLike-for-likeSix of these boards feed the Vibe Coding Index100
Coding benchmarks for Claude Opus 4.7 and GPT-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.656.1Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%84.0%Claude Opus 4.7
SWE-bench Verified (Vals AI)82.0%69.8%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%26.1%Claude Opus 4.7
Code migration (Vals AI)43.9%14.5%Claude Opus 4.7
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%41.6%Claude Opus 4.7
SciCodeNot measured47.2%Only GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)54.5%42.4%Claude Opus 4.7
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%49.2%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured1004.5Only GPT-5.4 Nano measured
LMArena Text: coding15191404Claude Opus 4.7
LMArena Text: software and IT15161402Claude Opus 4.7
LMArena WebDev: React1560Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: HTML1554Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and GPT-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
AA Intelligence Index40.720.7Claude Opus 4.7
Epoch Capabilities Index156.8146.0Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
Agentic work benchmarks for Claude Opus 4.7 and GPT-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
AA Agentic Index38.616.0Claude Opus 4.7
Finance Agent (Vals AI)51.5%38.2%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%5.0%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%6.3%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%44.8%Claude Opus 4.7
τ²-Bench Telecom88.6%76.0%Claude Opus 4.7
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index141
Reasoning benchmarks for Claude Opus 4.7 and GPT-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
GPQA Diamond90.2%77.5%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%73.6%Claude Opus 4.7
GPQA Diamond (Artificial Analysis run)91.4%81.7%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%28.3%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%78.5%Claude Opus 4.7
ARC-AGI93.5%51.5%Claude Opus 4.7
ARC-AGI-275.8%5.7%Claude Opus 4.7
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%45.0%GPT-5.4 Nano
Mystery game puzzles28.0%9.0%Claude Opus 4.7
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061381Claude Opus 4.7
LMArena Text: expert15211396Claude Opus 4.7
LMArena Text: hard prompts in English15081387Claude Opus 4.7
LMArena Vision: diagrams13361210Claude Opus 4.7
LMArena Vision: homework13371225Claude Opus 4.7
Kagi LLM Benchmark80.7%39.7%Claude Opus 4.7
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index70
Math benchmarks for Claude Opus 4.7 and GPT-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
AIME96.3%88.8%Claude Opus 4.7
OTIS Mock AIME97.8%87.8%Claude Opus 4.7
FrontierMath, tiers 1 to 370.2%44.9%Claude Opus 4.7
FrontierMath, tier 431.7%12.2%Claude Opus 4.7
ProofBench54.0%5.0%Claude Opus 4.7
LMArena Text: math14981405Claude Opus 4.7
LMArena Text: mathematical work15091409Claude 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 index120
Knowledge benchmarks for Claude Opus 4.7 and GPT-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
MMLU Pro89.9%77.2%Claude Opus 4.7
LegalBench (Vals AI)85.3%77.9%Claude Opus 4.7
CaseLaw (Vals AI)68.4%51.9%Claude Opus 4.7
CorpFin (Vals AI)66.1%61.2%Claude Opus 4.7
TaxEval (Vals AI)75.3%67.4%Claude Opus 4.7
MortgageTax (Vals AI)70.3%59.1%Claude Opus 4.7
MedCode (Vals AI)54.9%41.0%Claude Opus 4.7
SimpleQA Verified51.7%11.7%Claude Opus 4.7
LMArena Text: science15081374Claude Opus 4.7
LMArena Text: medicine and healthcare14951369Claude Opus 4.7
LMArena Text: legal and government15041368Claude Opus 4.7
LMArena Text: business and finance14901366Claude Opus 4.7
FACTS Benchmark Suite45.5%Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Claude Opus 4.7 and GPT-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index301
General benchmarks for Claude Opus 4.7 and GPT-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
SAGE (Vals AI)56.1%38.1%Claude Opus 4.7
MedScribe (Vals AI)83.0%77.1%Claude Opus 4.7
Vals Multimodal Index67.4%47.6%Claude Opus 4.7
IFBench58.6%75.9%GPT-5.4 Nano
Long context reasoning (AA-LCR)78.7%76.7%Claude Opus 4.7
DTBench94.7%80.3%Claude Opus 4.7
LMCA52.2%36.9%Claude Opus 4.7
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901372Claude Opus 4.7
LMArena Text: instruction following14981362Claude Opus 4.7
LMArena Text: creative writing14861315Claude Opus 4.7
LMArena Vision13171196Claude Opus 4.7
LMArena Text: English14961381Claude Opus 4.7
LMArena Text: non-English14801359Claude Opus 4.7
LMArena Text: Chinese15311391Claude Opus 4.7
LMArena Text: German14951368Claude Opus 4.7
LMArena Text: Japanese14741343Claude Opus 4.7
LMArena Text: Korean14641321Claude Opus 4.7
LMArena Text: French15031395Claude Opus 4.7
LMArena Text: Spanish14941371Claude Opus 4.7
LMArena Text: Russian14941363Claude Opus 4.7
LMArena Text: Polish14891366Claude Opus 4.7
LMArena Text: multi-turn15051382Claude Opus 4.7
LMArena Text: longer queries15051365Claude Opus 4.7
LMArena Text: writing and language14921338Claude Opus 4.7
LMArena Text: entertainment and media14741325Claude Opus 4.7
LMArena Vision: English13221202Claude Opus 4.7
LMArena Vision: Chinese13711232Claude Opus 4.7
LMArena Vision: reading text13271204Claude Opus 4.7
LMArena Vision: humor13091161Claude Opus 4.7
LMArena Vision: recognizing things12781141Claude Opus 4.7
LMArena Vision: creative writing13261159Claude Opus 4.7
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 12 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-5.4 Nano
BenchmarkClaude Opus 4.7GPT-5.4 NanoLeader
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-5.4 Nano$0.0008Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
GPT-5.4 Nano$0.014Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
GPT-5.4 Nano$0.052Fits in one request

GPT-5.4 Nano 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-5.4 Nano
SpecificationAnthropic Claude Opus 4.7OpenAI GPT-5.4 Nano
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026March 17, 2026
Context window1M400K
Input $/Mtok$5.00$0.20
Output $/Mtok$25.00$1.25
Coding index67.544.8
Independent measurements behind it42
Cost per solved task$2.95$0.14
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than GPT-5.4 Nano for coding?

Pick Claude Opus 4.7 for coding: it scores 67.5 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 20.0x cheaper ($1.25 vs $25.00 per million) and a lower cost per solved task ($0.14 against $2.95).

Which is cheaper, Claude Opus 4.7 or GPT-5.4 Nano?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and GPT-5.4 Nano $0.14.

Which has the bigger context window, Claude Opus 4.7 or GPT-5.4 Nano?

Claude Opus 4.7, with 1M tokens against 400K.

How many benchmarks is the Claude Opus 4.7 vs GPT-5.4 Nano comparison based on?

83 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-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.

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