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Claude Opus 4.6 vs GPT-5

Claude Opus 4.6 leads GPT-5 on coding, 57.2 to 38.8 on the Vibe Coding Index, and GPT-5 costs 2.5x less per output token ($10.00 vs $25.00 per million). Updated October 22, 2026; 94 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace GPT-5
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
83
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
10
vs boards won of 94 shared, 1 tied

Claude Opus 4.6 or GPT-5: which to pick

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 38.8 for GPT-5.

Pick GPT-5 for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a lower cost per solved task ($0.39 against $1.56).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved task
Shared results
94
Claude Opus 4.6 only
16
GPT-5 only
19
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 38.8 from 3 benchmarks.
Widest category
Coding, 18.0 points apart on average over 12 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.6 69.2% against GPT-5 9.9%, 59.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against GPT-5 $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.6 takes 1M tokens, GPT-5 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 4.6BarsGPT-5Ties
Coding111
Intelligence20
Agentic work40
Reasoning1511 tie
Math70
Knowledge86
Web design80
General282
All shared boards83101 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index111
Coding benchmarks for Claude Opus 4.6 and GPT-5
BenchmarkClaude Opus 4.6GPT-5Leader
Aider polyglotNot measured88.0%Only GPT-5 measured
SWE-bench Verified75.6%74.4%Claude Opus 4.6
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev15471418Claude Opus 4.6
AA Coding IndexNot measured37.8Only GPT-5 measured
LiveCodeBench (Vals AI)84.7%85.9%GPT-5
SWE-bench Verified (Vals AI)78.2%69.0%Claude Opus 4.6
Vibe Code Bench (Vals AI)57.6%20.1%Claude Opus 4.6
LiveCodeBench (Artificial Analysis run)Not measured84.6%Only GPT-5 measured
Terminal-Bench Hard (Artificial Analysis run)48.5%37.9%Claude Opus 4.6
Terminal-Bench79.8%49.6%Claude Opus 4.6
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%6.9%Claude Opus 4.6
WeirdML78.0%60.7%Claude Opus 4.6
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured807.6Only GPT-5 measured
LMArena Text: coding15341436Claude Opus 4.6
LMArena Text: software and IT15271420Claude Opus 4.6
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML15591427Claude Opus 4.6
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
SciCodeNot measured0.0%Only GPT-5 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.6 and GPT-5
BenchmarkClaude Opus 4.6GPT-5Leader
AA Intelligence Index31.923.0Claude Opus 4.6
Epoch Capabilities Index155.7150.0Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Claude Opus 4.6 and GPT-5
BenchmarkClaude Opus 4.6GPT-5Leader
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1197Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%86.5%Claude Opus 4.6
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%69.6%Claude Opus 4.6
Remote Labor Index4.2%1.7%Claude Opus 4.6
GDPvalNot measured34.8%Only GPT-5 measured
BALROGNot measured32.8%Only GPT-5 measured
DeepResearch Bench55.3%49.6%Claude Opus 4.6
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
BrowseComp-PlusNot measured80.0%Only GPT-5 measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index151
Reasoning benchmarks for Claude Opus 4.6 and GPT-5
BenchmarkClaude Opus 4.6GPT-5Leader
GPQA Diamond89.7%85.6%Claude Opus 4.6
MMMU Pro (Vals AI)83.9%81.5%Claude Opus 4.6
GPQA Diamond (Artificial Analysis run)89.6%85.4%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%28.5%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%86.2%Claude Opus 4.6
ARC-AGI94.0%65.7%Claude Opus 4.6
ARC-AGI-269.2%9.9%Claude Opus 4.6
SimpleBench67.6%56.7%Claude Opus 4.6
Chess puzzles21.0%36.0%GPT-5
Mystery game puzzles25.0%23.0%Claude Opus 4.6
EBR-bench12.7%12.7%Tie
VPCTNot measured66.0%Only GPT-5 measured
LMArena Text: hard prompts15251415Claude Opus 4.6
LMArena Text: expert15441419Claude Opus 4.6
LMArena Text: hard prompts in English15301419Claude Opus 4.6
LMArena Vision: diagrams13401252Claude Opus 4.6
LMArena Vision: homework13371278Claude Opus 4.6
Kagi LLM Benchmark83.6%72.7%Claude Opus 4.6
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index70
Math benchmarks for Claude Opus 4.6 and GPT-5
BenchmarkClaude Opus 4.6GPT-5Leader
AIME95.6%93.4%Claude Opus 4.6
MATH 500 (Vals AI)Not measured96.0%Only GPT-5 measured
MGSM (Vals AI)Not measured92.8%Only GPT-5 measured
AA Math IndexNot measured94.3Only GPT-5 measured
AIME 2025 (Artificial Analysis run)Not measured94.3%Only GPT-5 measured
OTIS Mock AIME94.4%91.4%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%55.4%Claude Opus 4.6
FrontierMath, tier 426.8%22.0%Claude Opus 4.6
ProofBench50.0%18.0%Claude Opus 4.6
MATH level 5Not measured98.1%Only GPT-5 measured
LMArena Text: math15181407Claude Opus 4.6
LMArena Text: mathematical work15251405Claude Opus 4.6
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index86
Knowledge benchmarks for Claude Opus 4.6 and GPT-5
BenchmarkClaude Opus 4.6GPT-5Leader
MMLU Pro89.1%86.5%Claude Opus 4.6
LegalBench (Vals AI)85.3%86.0%GPT-5
CaseLaw (Vals AI)62.1%66.5%GPT-5
CorpFin (Vals AI)67.0%61.1%Claude Opus 4.6
TaxEval (Vals AI)76.0%73.4%Claude Opus 4.6
MortgageTax (Vals AI)68.5%65.5%Claude Opus 4.6
MedQA (Vals AI)95.4%96.3%GPT-5
MedCode (Vals AI)49.1%49.6%GPT-5
MMLU Pro (Artificial Analysis run)Not measured87.1%Only GPT-5 measured
SimpleQA Verified47.0%50.1%GPT-5
GeoBenchNot measured81.0%Only GPT-5 measured
LMArena Text: science15191416Claude Opus 4.6
LMArena Text: medicine and healthcare15041413Claude Opus 4.6
LMArena Text: legal and government15121431Claude Opus 4.6
LMArena Text: business and finance14971400Claude Opus 4.6
FACTS Benchmark Suite41.5%56.5%GPT-5
Neither model has a result on the other 2 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
BenchmarkClaude Opus 4.6GPT-5Leader
Design Arena: websites12911184Claude Opus 4.6
Design Arena: UI components12811177Claude Opus 4.6
Design Arena: game dev12771185Claude Opus 4.6
Design Arena: data viz12791221Claude Opus 4.6
Design Arena: 3D12731055Claude Opus 4.6
Design Arena: all code categories12881167Claude Opus 4.6
Design Arena: SVG12271188Claude Opus 4.6
Design Arena: ASCII art12551141Claude 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 index282
General benchmarks for Claude Opus 4.6 and GPT-5
BenchmarkClaude Opus 4.6GPT-5Leader
SAGE (Vals AI)51.6%43.7%Claude Opus 4.6
MedScribe (Vals AI)86.7%83.7%Claude Opus 4.6
IFBench53.1%73.1%GPT-5
Long context reasoning (AA-LCR)78.0%78.2%GPT-5
DTBench91.2%90.7%Claude Opus 4.6
LMCA55.8%40.0%Claude Opus 4.6
Fiction.LiveBenchNot measured97.2%Only GPT-5 measured
Creative writing (Lech Mazur)Not measured86.0%Only GPT-5 measured
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011406Claude Opus 4.6
LMArena Text: instruction following15211388Claude Opus 4.6
LMArena Text: creative writing15051365Claude Opus 4.6
LMArena Vision13161232Claude Opus 4.6
LMArena Text: English15111409Claude Opus 4.6
LMArena Text: non-English14881397Claude Opus 4.6
LMArena Text: Chinese15511422Claude Opus 4.6
LMArena Text: German15001416Claude Opus 4.6
LMArena Text: Japanese14881409Claude Opus 4.6
LMArena Text: Korean14641360Claude Opus 4.6
LMArena Text: French15121409Claude Opus 4.6
LMArena Text: Spanish15101399Claude Opus 4.6
LMArena Text: Russian14971407Claude Opus 4.6
LMArena Text: Polish14991431Claude Opus 4.6
LMArena Text: multi-turn15111426Claude Opus 4.6
LMArena Text: longer queries15181399Claude Opus 4.6
LMArena Text: writing and language15021384Claude Opus 4.6
LMArena Text: entertainment and media14921379Claude Opus 4.6
LMArena Vision: English13241231Claude Opus 4.6
LMArena Vision: Chinese13701267Claude Opus 4.6
LMArena Vision: reading text13261246Claude Opus 4.6
LMArena Vision: humor13141219Claude Opus 4.6
LMArena Vision: captioningNot measured1212Only GPT-5 measured
LMArena Vision: recognizing things12741263Claude Opus 4.6
LMArena Vision: creative writing13311210Claude Opus 4.6
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 9 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
BenchmarkClaude Opus 4.6GPT-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 4.6$0.018Fits in one request
GPT-5$0.0063Fits in one request

GPT-5 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
GPT-5$0.092Fits in one request

GPT-5 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
GPT-5$0.350Fits in one request

GPT-5 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
SpecificationAnthropic Claude Opus 4.6OpenAI GPT-5
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026August 7, 2025
Context window1M400K
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$10.00
Coding index57.238.8
Independent measurements behind it43
Cost per solved task$1.56$0.39
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than GPT-5 for coding?

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 38.8 for GPT-5. Pick GPT-5 for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a lower cost per solved task ($0.39 against $1.56).

Which is cheaper, Claude Opus 4.6 or GPT-5?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5 costs $1.25 and $10.00. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and GPT-5 $0.39.

Which has the bigger context window, Claude Opus 4.6 or GPT-5?

Claude Opus 4.6, with 1M tokens against 400K.

How many benchmarks is the Claude Opus 4.6 vs GPT-5 comparison based on?

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

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