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Claude Opus 4.6 vs GPT-5.4

GPT-5.4 leads Claude Opus 4.6 on coding, 64.4 to 57.2 on the Vibe Coding Index, and GPT-5.4 costs 1.7x less per output token ($15.00 vs $25.00 per million). Updated October 22, 2026; 102 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace GPT-5.4
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
72
GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
29
vs boards won of 102 shared, 1 tied

Claude Opus 4.6 or GPT-5.4: which to pick

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 57.2 for Claude Opus 4.6, though on 3 benchmarks against 4.

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

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BGPT-5.4OpenAI64.4/1003 independent benchmarks$1.02 per solved task
Shared results
102
Claude Opus 4.6 only
8
GPT-5.4 only
8
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-5.4 64.4 from 3 benchmarks.
Widest category
Agentic work, 14.1 points apart on average over 9 shared benchmarks.
Widest single gap
Chess puzzles: Claude Opus 4.6 21.0% against GPT-5.4 48.0%, 27.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against GPT-5.4 $15.00 per million output tokens, 1.7x apart.
Context window
Claude Opus 4.6 takes 1M tokens, GPT-5.4 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-5.4Ties
Coding931 tie
Intelligence02
Agentic work81
Reasoning79
Math25
Knowledge103
Web design80
General286
All shared boards72291 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index93
Coding benchmarks for Claude Opus 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev15471464Claude Opus 4.6
AA Coding IndexNot measured71.1Only GPT-5.4 measured
LiveCodeBench (Vals AI)84.7%84.1%Claude Opus 4.6
SWE-bench Verified (Vals AI)78.2%78.2%Tie
Vibe Code Bench (Vals AI)57.6%67.4%GPT-5.4
Code migration (Vals AI)Not measured35.0%Only GPT-5.4 measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-5.4 measured
SkillsBench (Vals AI)Not measured51.7%Only GPT-5.4 measured
Terminal-Bench Hard (Artificial Analysis run)48.5%57.6%GPT-5.4
Terminal-Bench79.8%81.8%GPT-5.4
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%31.4%Claude Opus 4.6
WeirdML78.0%77.7%Claude Opus 4.6
MirrorCodeNot measured15.6%Only GPT-5.4 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured1607.0Only GPT-5.4 measured
LMArena Text: coding15341496Claude Opus 4.6
LMArena Text: software and IT15271491Claude Opus 4.6
LMArena WebDev: React15391454Claude Opus 4.6
LMArena WebDev: HTML15591478Claude Opus 4.6
LMArena WebDev: from an image15431436Claude Opus 4.6
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
AA Intelligence Index31.939.0GPT-5.4
Epoch Capabilities Index155.7157.3GPT-5.4
Agentic workLike-for-likePublic boards, shown as published, kept out of the index81
Agentic work benchmarks for Claude Opus 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
Design Arena: agents building web apps12061059Claude Opus 4.6
Design Arena: agents building full-stack apps12201017Claude Opus 4.6
Design Arena: agents building mobile apps12071087Claude Opus 4.6
Design Arena: agents building Android apps11971031Claude Opus 4.6
Design Arena: agents building Godot gamesNot measured1135Only GPT-5.4 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%87.1%Claude Opus 4.6
APEX-Agents46.3%52.4%GPT-5.4
METR time horizons78.9%74.3%Claude Opus 4.6
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%35.1%Claude Opus 4.6
PostTrainBenchNot measured19.0%Only GPT-5.4 measured
Vending-Bench 2$8,018$6,144Claude Opus 4.6
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index79
Reasoning benchmarks for Claude Opus 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
GPQA Diamond89.7%91.7%GPT-5.4
MMMU Pro (Vals AI)83.9%87.5%GPT-5.4
GPQA Diamond (Artificial Analysis run)89.6%92.0%GPT-5.4
Humanity's Last Exam (Artificial Analysis run)39.9%43.7%GPT-5.4
GPQA Diamond (Epoch AI run)90.5%93.3%GPT-5.4
ARC-AGI94.0%93.7%Claude Opus 4.6
ARC-AGI-269.2%74.0%GPT-5.4
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%48.0%GPT-5.4
Mystery game puzzles25.0%37.0%GPT-5.4
EBR-bench12.7%25.4%GPT-5.4
LMArena Text: hard prompts15251485Claude Opus 4.6
LMArena Text: expert15441507Claude Opus 4.6
LMArena Text: hard prompts in English15301479Claude Opus 4.6
LMArena Vision: diagrams13401327Claude Opus 4.6
LMArena Vision: homework13371336Claude Opus 4.6
Kagi LLM Benchmark83.6%63.8%Claude Opus 4.6
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index25
Math benchmarks for Claude Opus 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
AIME95.6%96.7%GPT-5.4
OTIS Mock AIME94.4%97.8%GPT-5.4
FrontierMath, tiers 1 to 366.0%78.6%GPT-5.4
FrontierMath, tier 426.8%49.0%GPT-5.4
ProofBench50.0%56.0%GPT-5.4
LMArena Text: math15181488Claude Opus 4.6
LMArena Text: mathematical work15251497Claude 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 index103
Knowledge benchmarks for Claude Opus 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
MMLU Pro89.1%87.5%Claude Opus 4.6
LegalBench (Vals AI)85.3%86.0%GPT-5.4
CaseLaw (Vals AI)62.1%63.8%GPT-5.4
CorpFin (Vals AI)67.0%65.3%Claude Opus 4.6
TaxEval (Vals AI)76.0%74.0%Claude Opus 4.6
MortgageTax (Vals AI)68.5%68.3%Claude Opus 4.6
MedQA (Vals AI)95.4%96.1%GPT-5.4
MedCode (Vals AI)49.1%41.3%Claude Opus 4.6
SimpleQA Verified47.0%45.1%Claude Opus 4.6
LMArena Text: science15191479Claude Opus 4.6
LMArena Text: medicine and healthcare15041458Claude Opus 4.6
LMArena Text: legal and government15121486Claude Opus 4.6
LMArena Text: business and finance14971474Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
Design Arena: websites12911198Claude Opus 4.6
Design Arena: UI components12811212Claude Opus 4.6
Design Arena: game dev12771194Claude Opus 4.6
Design Arena: data viz12791196Claude Opus 4.6
Design Arena: 3D12731065Claude Opus 4.6
Design Arena: all code categories12881179Claude Opus 4.6
Design Arena: SVG12271141Claude Opus 4.6
Design Arena: ASCII art12551188Claude Opus 4.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index286
General benchmarks for Claude Opus 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
SAGE (Vals AI)51.6%43.3%Claude Opus 4.6
MedScribe (Vals AI)86.7%77.5%Claude Opus 4.6
IFBench53.1%73.9%GPT-5.4
Long context reasoning (AA-LCR)78.0%82.0%GPT-5.4
DTBench91.2%94.4%GPT-5.4
LMCA55.8%52.0%Claude Opus 4.6
CL-bench20.7%27.9%GPT-5.4
Furniture assembly28.3%37.5%GPT-5.4
CL-bench Life17.0%21.7%GPT-5.4
LMArena Text15011469Claude Opus 4.6
LMArena Text: instruction following15211469Claude Opus 4.6
LMArena Text: creative writing15051439Claude Opus 4.6
LMArena Vision13161303Claude Opus 4.6
LMArena Text: English15111467Claude Opus 4.6
LMArena Text: non-English14881465Claude Opus 4.6
LMArena Text: Chinese15511520Claude Opus 4.6
LMArena Text: German15001472Claude Opus 4.6
LMArena Text: Japanese14881485Claude Opus 4.6
LMArena Text: Korean14641449Claude Opus 4.6
LMArena Text: French15121493Claude Opus 4.6
LMArena Text: Spanish15101452Claude Opus 4.6
LMArena Text: Russian14971480Claude Opus 4.6
LMArena Text: Polish14991472Claude Opus 4.6
LMArena Text: multi-turn15111482Claude Opus 4.6
LMArena Text: longer queries15181473Claude Opus 4.6
LMArena Text: writing and language15021458Claude Opus 4.6
LMArena Text: entertainment and media14921438Claude Opus 4.6
LMArena Vision: English13241301Claude Opus 4.6
LMArena Vision: Chinese13701354Claude Opus 4.6
LMArena Vision: reading text13261312Claude Opus 4.6
LMArena Vision: humor13141284Claude Opus 4.6
LMArena Vision: recognizing things12741251Claude Opus 4.6
LMArena Vision: creative writing13311283Claude Opus 4.6
LMArena Document15071471Claude Opus 4.6
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 4.6 and GPT-5.4
BenchmarkClaude Opus 4.6GPT-5.4Leader
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-5.4$0.010Fits in one request

GPT-5.4 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
GPT-5.4$0.170Fits in one request

GPT-5.4 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
GPT-5.4$0.650Fits in one request

GPT-5.4 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-5.4
SpecificationAnthropic Claude Opus 4.6OpenAI GPT-5.4
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026March 5, 2026
Context window1M1.05M
Input $/Mtok$5.00$2.50
Output $/Mtok$25.00$15.00
Coding index57.264.4
Independent measurements behind it43
Cost per solved task$1.56$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than GPT-5.4 for coding?

Pick GPT-5.4 for coding: it scores 64.4 on the Vibe Coding Index against 57.2 for Claude Opus 4.6, though on 3 benchmarks against 4. Pick Claude Opus 4.6 for work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Claude Opus 4.6 or GPT-5.4?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.4 costs $2.50 and $15.00. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and GPT-5.4 $1.02.

Which has the bigger context window, Claude Opus 4.6 or GPT-5.4?

GPT-5.4, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 4.6 vs GPT-5.4 comparison based on?

102 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-5.4's on 3. Where only one model has a result, the page says so instead of naming a winner.

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