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Claude Opus 5 vs GPT-5

Claude Opus 5 leads GPT-5 on coding, 83.0 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 21, 2026; 83 benchmarks have a result for both.

Claude Opus 5Anthropic
Coding
83.0
Overall
81.6
Output $/M
$25.00
83
GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
0
vs boards won of 83 shared

Claude Opus 5 or GPT-5: which to pick

Pick Claude Opus 5 for coding: it scores 83.0 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 $1.33).

Shared results
83
Claude Opus 5 only
48
GPT-5 only
30
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 5 83.0 from 6 benchmarks, GPT-5 38.8 from 3 benchmarks.
Widest category
Math, 35.7 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: Claude Opus 5 99.0% against GPT-5 18.0%, 81.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 5 $25.00 against GPT-5 $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 5 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 5BarsGPT-5Ties
Coding110
Intelligence20
Agentic work10
Reasoning160
Math60
Knowledge110
Web design80
General280
All shared boards830
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for Claude Opus 5 and GPT-5
BenchmarkClaude Opus 5GPT-5Leader
Aider polyglotNot measured88.0%Only GPT-5 measured
SWE-bench VerifiedNot measured74.4%Only GPT-5 measured
LiveBench coding90.8%Not measuredOnly Claude Opus 5 measured
LMArena WebDev16891418Claude Opus 5
AA Coding Index78.037.8Claude Opus 5
LiveCodeBench (Vals AI)89.0%85.9%Claude Opus 5
SWE-bench Verified (Vals AI)97.0%69.0%Claude Opus 5
Terminal-Bench 4 (Vals AI)53.5%Not measuredOnly Claude Opus 5 measured
Vibe Code Bench (Vals AI)88.4%20.1%Claude Opus 5
Code migration (Vals AI)57.5%Not measuredOnly Claude Opus 5 measured
ProgramBench (Vals AI)3.0%Not measuredOnly Claude Opus 5 measured
IOI (Vals AI)84.3%Not measuredOnly Claude Opus 5 measured
Terminal-Bench 2.1 (Vals AI)84.6%Not measuredOnly Claude Opus 5 measured
Vibe Code Bench 1-100 (Vals AI)28.5%Not measuredOnly Claude Opus 5 measured
SkillsBench (Vals AI)60.4%Not measuredOnly Claude Opus 5 measured
CyberBench (Vals AI)65.4%Not measuredOnly Claude Opus 5 measured
LiveCodeBench (Artificial Analysis run)Not measured84.6%Only GPT-5 measured
SciCode56.4%Not measuredOnly Claude Opus 5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured37.9%Only GPT-5 measured
Terminal-BenchNot measured49.6%Only GPT-5 measured
FrontierCode53.4%Not measuredOnly Claude Opus 5 measured
FrontierSWE52.0%Not measuredOnly Claude Opus 5 measured
GSO-BenchNot measured6.9%Only GPT-5 measured
WeirdML91.8%60.7%Claude Opus 5
ALE-Bench2164.6807.6Claude Opus 5
LMArena Text: coding15331436Claude Opus 5
LMArena Text: software and IT15271420Claude Opus 5
LMArena WebDev: React1711Not measuredOnly Claude Opus 5 measured
LMArena WebDev: HTML16801427Claude Opus 5
LMArena WebDev: from an image1662Not measuredOnly Claude Opus 5 measured
SciCode13.8%0.0%Claude Opus 5
Neither model has a result on the other 8 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5 and GPT-5
BenchmarkClaude Opus 5GPT-5Leader
AA Intelligence Index50.823.0Claude Opus 5
Epoch Capabilities Index163.9150.0Claude Opus 5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Opus 5 and GPT-5
BenchmarkClaude Opus 5GPT-5Leader
AA Agentic Index56.5Not measuredOnly Claude Opus 5 measured
Design Arena: agents building web apps1266Not measuredOnly Claude Opus 5 measured
Design Arena: agents building full-stack apps1306Not measuredOnly Claude Opus 5 measured
Design Arena: agents building mobile apps1348Not measuredOnly Claude Opus 5 measured
Design Arena: agents building Android apps1254Not measuredOnly Claude Opus 5 measured
Design Arena: agents building Godot games1279Not measuredOnly Claude Opus 5 measured
Design Arena: agents building games1261Not measuredOnly Claude Opus 5 measured
Design Arena: PowerPoint slides1265Not measuredOnly Claude Opus 5 measured
LiveBench research88.9%Not measuredOnly Claude Opus 5 measured
LiveBench browser84.0%Not measuredOnly Claude Opus 5 measured
LiveBench long agentic62.1%Not measuredOnly Claude Opus 5 measured
SREBench (Vals AI)12.2%Not measuredOnly Claude Opus 5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5 measured
Tax Agent Bench (Vals AI)45.5%Not measuredOnly Claude Opus 5 measured
Legal Research Bench (Vals AI)55.3%Not measuredOnly Claude Opus 5 measured
Excel Modeling Benchmark (Vals AI)73.6%Not measuredOnly Claude Opus 5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5 measured
Terminal-Bench-Science (Vals AI)27.1%Not measuredOnly Claude Opus 5 measured
Vals Science Index47.9%Not measuredOnly Claude Opus 5 measured
Time Horizon Index (Vals AI)18.8%Not measuredOnly Claude Opus 5 measured
CUA-bench (Vals AI)9.0%Not measuredOnly Claude Opus 5 measured
τ²-Bench TelecomNot measured86.5%Only GPT-5 measured
APEX-Agents65.8%Not measuredOnly Claude Opus 5 measured
METR time horizonsNot measured69.6%Only GPT-5 measured
Remote Labor IndexNot measured1.7%Only GPT-5 measured
GDPvalNot measured34.8%Only GPT-5 measured
OSWorld 2.031.4%Not measuredOnly Claude Opus 5 measured
BALROG63.4%32.8%Claude Opus 5
DeepResearch BenchNot measured49.6%Only GPT-5 measured
PostTrainBench35.0%Not measuredOnly Claude Opus 5 measured
Vending-Bench 2$11,182Not measuredOnly Claude Opus 5 measured
LMArena Search1242Not measuredOnly Claude Opus 5 measured
BrowseComp-PlusNot measured80.0%Only GPT-5 measured
Neither model has a result on the other 8 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index160
Reasoning benchmarks for Claude Opus 5 and GPT-5
BenchmarkClaude Opus 5GPT-5Leader
GPQA Diamond93.4%85.6%Claude Opus 5
LiveBench reasoning91.2%Not measuredOnly Claude Opus 5 measured
MysteryMechanism (Vals AI)37.4%Not measuredOnly Claude Opus 5 measured
MMMU Pro (Vals AI)89.9%81.5%Claude Opus 5
GPQA Diamond (Artificial Analysis run)93.7%85.4%Claude Opus 5
Humanity's Last Exam (Artificial Analysis run)54.9%28.5%Claude Opus 5
GPQA Diamond (Epoch AI run)93.9%86.2%Claude Opus 5
ARC-AGI97.5%65.7%Claude Opus 5
ARC-AGI-290.4%9.9%Claude Opus 5
SimpleBench80.6%56.7%Claude Opus 5
Chess puzzles43.0%36.0%Claude Opus 5
Mystery game puzzles59.0%23.0%Claude Opus 5
EBR-bench45.7%12.7%Claude Opus 5
VPCTNot measured66.0%Only GPT-5 measured
LMArena Text: hard prompts15271415Claude Opus 5
LMArena Text: expert15541419Claude Opus 5
LMArena Text: hard prompts in English15231419Claude Opus 5
LMArena Vision: diagrams13481252Claude Opus 5
LMArena Vision: homework13381278Claude Opus 5
Kagi LLM BenchmarkNot measured72.7%Only GPT-5 measured
Neither model has a result on the other 2 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Claude Opus 5 and GPT-5
BenchmarkClaude Opus 5GPT-5Leader
AIMENot measured93.4%Only GPT-5 measured
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 AIME98.9%91.4%Claude Opus 5
FrontierMath, tiers 1 to 385.6%55.4%Claude Opus 5
FrontierMath, tier 473.2%22.0%Claude Opus 5
ProofBench99.0%18.0%Claude Opus 5
MATH level 5Not measured98.1%Only GPT-5 measured
LMArena Text: math15331407Claude Opus 5
LMArena Text: mathematical work15441405Claude Opus 5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Claude Opus 5 and GPT-5
BenchmarkClaude Opus 5GPT-5Leader
MMLU Pro91.6%86.5%Claude Opus 5
LegalBench (Vals AI)87.0%86.0%Claude Opus 5
CaseLaw (Vals AI)Not measured66.5%Only GPT-5 measured
CorpFin (Vals AI)73.2%61.1%Claude Opus 5
TaxEval (Vals AI)75.1%73.4%Claude Opus 5
MortgageTax (Vals AI)72.1%65.5%Claude Opus 5
MedQA (Vals AI)Not measured96.3%Only GPT-5 measured
MedCode (Vals AI)63.6%49.6%Claude Opus 5
MMLU Pro (Artificial Analysis run)Not measured87.1%Only GPT-5 measured
SimpleQA Verified59.9%50.1%Claude Opus 5
GeoBenchNot measured81.0%Only GPT-5 measured
LMArena Text: science15311416Claude Opus 5
LMArena Text: medicine and healthcare15251413Claude Opus 5
LMArena Text: legal and government15301431Claude Opus 5
LMArena Text: business and finance15011400Claude Opus 5
FACTS Benchmark SuiteNot measured56.5%Only GPT-5 measured
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 5 and GPT-5
BenchmarkClaude Opus 5GPT-5Leader
Design Arena: websites13091184Claude Opus 5
Design Arena: UI components13491180Claude Opus 5
Design Arena: game dev13381185Claude Opus 5
Design Arena: data viz13291221Claude Opus 5
Design Arena: 3D13351056Claude Opus 5
Design Arena: all code categories13241168Claude Opus 5
Design Arena: SVG13111189Claude Opus 5
Design Arena: ASCII art13521141Claude Opus 5
LiveBench design83.0%Not measuredOnly Claude Opus 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for Claude Opus 5 and GPT-5
BenchmarkClaude Opus 5GPT-5Leader
LiveBench data analysis74.6%Not measuredOnly Claude Opus 5 measured
Public Benefits Bench (Vals AI)76.9%Not measuredOnly Claude Opus 5 measured
SAGE (Vals AI)49.4%43.7%Claude Opus 5
MedScribe (Vals AI)91.0%83.7%Claude Opus 5
Vals Multimodal Index73.9%Not measuredOnly Claude Opus 5 measured
IFBenchNot measured73.1%Only GPT-5 measured
Long context reasoning (AA-LCR)82.0%78.2%Claude Opus 5
DTBench97.9%90.7%Claude Opus 5
LMCA64.5%40.0%Claude Opus 5
Fiction.LiveBenchNot measured97.2%Only GPT-5 measured
Creative writing (Lech Mazur)Not measured86.0%Only GPT-5 measured
Furniture assembly60.8%Not measuredOnly Claude Opus 5 measured
LMArena Text15091406Claude Opus 5
LMArena Text: instruction following15181388Claude Opus 5
LMArena Text: creative writing14931365Claude Opus 5
LMArena Vision13201232Claude Opus 5
LMArena Text: English15081409Claude Opus 5
LMArena Text: non-English15021397Claude Opus 5
LMArena Text: Chinese15731422Claude Opus 5
LMArena Text: German15271416Claude Opus 5
LMArena Text: Japanese15201409Claude Opus 5
LMArena Text: Korean15171360Claude Opus 5
LMArena Text: French15191409Claude Opus 5
LMArena Text: Spanish15231399Claude Opus 5
LMArena Text: Russian15071407Claude Opus 5
LMArena Text: Polish15221431Claude Opus 5
LMArena Text: multi-turn15001426Claude Opus 5
LMArena Text: longer queries15171399Claude Opus 5
LMArena Text: writing and language14991384Claude Opus 5
LMArena Text: entertainment and media14811379Claude Opus 5
LMArena Vision: English13151231Claude Opus 5
LMArena Vision: Chinese14001267Claude Opus 5
LMArena Vision: reading text13291246Claude Opus 5
LMArena Vision: humor12931219Claude Opus 5
LMArena Vision: captioningNot measured1212Only GPT-5 measured
LMArena Vision: recognizing thingsNot measured1263Only GPT-5 measured
LMArena Vision: creative writing13131210Claude Opus 5
LMArena Document1516Not measuredOnly Claude Opus 5 measured
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 5 and GPT-5
BenchmarkClaude Opus 5GPT-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 5$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 5$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 5$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 5 and GPT-5
SpecificationAnthropic Claude Opus 5OpenAI GPT-5
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 24, 2026August 7, 2025
Context window1M400K
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$10.00
Coding index83.038.8
Independent measurements behind it63
Cost per solved task$1.33$0.39
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick Claude Opus 5 for coding: it scores 83.0 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 $1.33).

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

Claude Opus 5 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 5 costs $1.33 and GPT-5 $0.39.

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

Claude Opus 5, with 1M tokens against 400K.

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

83 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5's coding index rests on 6 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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