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Claude Opus 4.8 vs GPT-5.1

Claude Opus 4.8 leads GPT-5.1 on coding, 65.0 to 40.4 on the Vibe Coding Index, and GPT-5.1 costs 2.5x less per output token ($10.00 vs $25.00 per million). Updated October 22, 2026; 85 benchmarks have a result for both.

Replace Claude Opus 4.8 Replace GPT-5.1
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
80
GPT-5.1OpenAI
Coding
40.4
Overall
55.0
Output $/M
$10.00
5
vs boards won of 85 shared

Claude Opus 4.8 or GPT-5.1: which to pick

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 40.4 for GPT-5.1.

Pick GPT-5.1 for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a lower cost per solved task ($1.02 against $2.17).

Model AClaude Opus 4.8Anthropic65.0/1006 independent benchmarks$2.17 per solved taskModel BGPT-5.1OpenAI40.4/1003 independent benchmarks$1.02 per solved task
Shared results
85
Claude Opus 4.8 only
45
GPT-5.1 only
16
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 4.8 65.0 from 6 benchmarks, GPT-5.1 40.4 from 3 benchmarks.
Widest category
Coding, 22.6 points apart on average over 12 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.8 82.7% against GPT-5.1 24.6%, 58.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against GPT-5.1 $10.00 per million output tokens, 2.5x apart.
Context window
Claude Opus 4.8 takes 1M tokens, GPT-5.1 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 4.8BarsGPT-5.1Ties
Coding120
Intelligence20
Agentic work30
Reasoning150
Math30
Knowledge111
Web design80
General264
All shared boards805
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
Coding benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
SWE-bench VerifiedNot measured66.0%Only GPT-5.1 measured
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev15561396Claude Opus 4.8
AA Coding Index74.349.4Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%86.5%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%69.8%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%24.6%Claude Opus 4.8
Code migration (Vals AI)47.3%Not measuredOnly Claude Opus 4.8 measured
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%Not measuredOnly Claude Opus 4.8 measured
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Artificial Analysis run)Not measured86.8%Only GPT-5.1 measured
SciCode54.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench Hard (Artificial Analysis run)58.3%45.5%Claude Opus 4.8
Terminal-BenchNot measured47.6%Only GPT-5.1 measured
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%13.7%Claude Opus 4.8
WeirdML82.9%60.8%Claude Opus 4.8
LMArena Text: coding14901453Claude Opus 4.8
LMArena Text: software and IT14881454Claude Opus 4.8
LMArena WebDev: React15571307Claude Opus 4.8
LMArena WebDev: HTML15431405Claude Opus 4.8
LMArena WebDev: from an imageNot measured1421Only GPT-5.1 measured
SciCode12.3%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
AA Intelligence Index41.824.7Claude Opus 4.8
Epoch Capabilities Index159.0149.8Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
Agentic work benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
AA Agentic Index41.9Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1239Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1171Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1202Not measuredOnly Claude Opus 4.8 measured
Design Arena: spreadsheets1303Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)30.0%Not measuredOnly Claude Opus 4.8 measured
Legal Research Bench (Vals AI)43.8%Not measuredOnly Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)69.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%81.9%Claude Opus 4.8
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%42.8%Claude Opus 4.8
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787$1,473Claude Opus 4.8
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index150
Reasoning benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
GPQA Diamond92.4%86.6%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%83.2%Claude Opus 4.8
GPQA Diamond (Artificial Analysis run)92.0%87.3%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%28.5%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%87.6%Claude Opus 4.8
ARC-AGI92.5%72.8%Claude Opus 4.8
ARC-AGI-272.1%17.6%Claude Opus 4.8
SimpleBench64.8%53.2%Claude Opus 4.8
Chess puzzles52.0%42.0%Claude Opus 4.8
Mystery game puzzles36.0%19.0%Claude Opus 4.8
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
VPCTNot measured58.7%Only GPT-5.1 measured
LMArena Text: hard prompts14821457Claude Opus 4.8
LMArena Text: expert15031470Claude Opus 4.8
LMArena Text: hard prompts in English14871462Claude Opus 4.8
LMArena Vision: diagrams13151264Claude Opus 4.8
LMArena Vision: homework13371272Claude Opus 4.8
Kagi LLM Benchmark88.8%Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
AIMENot measured93.3%Only GPT-5.1 measured
MGSM (Vals AI)Not measured93.0%Only GPT-5.1 measured
AA Math IndexNot measured94.0Only GPT-5.1 measured
AIME 2025 (Artificial Analysis run)Not measured94.0%Only GPT-5.1 measured
OTIS Mock AIME98.3%88.6%Claude Opus 4.8
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: math14861446Claude Opus 4.8
LMArena Text: mathematical work14971449Claude Opus 4.8
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index111
Knowledge benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
MMLU Pro89.6%86.4%Claude Opus 4.8
LegalBench (Vals AI)83.6%85.7%GPT-5.1
CaseLaw (Vals AI)Not measured73.4%Only GPT-5.1 measured
CorpFin (Vals AI)66.7%63.8%Claude Opus 4.8
TaxEval (Vals AI)75.6%74.9%Claude Opus 4.8
MortgageTax (Vals AI)69.9%61.4%Claude Opus 4.8
MedQA (Vals AI)Not measured96.4%Only GPT-5.1 measured
MedCode (Vals AI)53.2%52.7%Claude Opus 4.8
MMLU Pro (Artificial Analysis run)Not measured87.0%Only GPT-5.1 measured
SimpleQA Verified53.0%48.0%Claude Opus 4.8
LMArena Text: science14771459Claude Opus 4.8
LMArena Text: medicine and healthcare14641456Claude Opus 4.8
LMArena Text: legal and government14771459Claude Opus 4.8
LMArena Text: business and finance14581431Claude Opus 4.8
FACTS Benchmark Suite53.5%45.0%Claude Opus 4.8
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
Design Arena: websites12581187Claude Opus 4.8
Design Arena: UI components12551163Claude Opus 4.8
Design Arena: game dev12641178Claude Opus 4.8
Design Arena: data viz12401204Claude Opus 4.8
Design Arena: 3D12221060Claude Opus 4.8
Design Arena: all code categories12551170Claude Opus 4.8
Design Arena: SVG11951149Claude Opus 4.8
Design Arena: ASCII art12771119Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index264
General benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%43.2%Claude Opus 4.8
MedScribe (Vals AI)85.8%88.1%GPT-5.1
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%72.9%GPT-5.1
Long context reasoning (AA-LCR)77.7%80.0%GPT-5.1
DTBench94.9%90.1%Claude Opus 4.8
LMCA57.5%43.9%Claude Opus 4.8
CL-benchNot measured23.7%Only GPT-5.1 measured
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
CL-bench LifeNot measured17.3%Only GPT-5.1 measured
LMArena Text14611443Claude Opus 4.8
LMArena Text: instruction following14761443Claude Opus 4.8
LMArena Text: creative writing14541427Claude Opus 4.8
LMArena Vision12941250Claude Opus 4.8
LMArena Text: English14681451Claude Opus 4.8
LMArena Text: non-English14501431Claude Opus 4.8
LMArena Text: Chinese15061495Claude Opus 4.8
LMArena Text: German14721438Claude Opus 4.8
LMArena Text: Japanese14421453GPT-5.1
LMArena Text: Korean14311401Claude Opus 4.8
LMArena Text: French14811450Claude Opus 4.8
LMArena Text: Spanish14651433Claude Opus 4.8
LMArena Text: Russian14741435Claude Opus 4.8
LMArena Text: Polish14591440Claude Opus 4.8
LMArena Text: multi-turn14761450Claude Opus 4.8
LMArena Text: longer queries14831448Claude Opus 4.8
LMArena Text: writing and language14611428Claude Opus 4.8
LMArena Text: entertainment and media14401415Claude Opus 4.8
LMArena Vision: English12931252Claude Opus 4.8
LMArena Vision: Chinese13461270Claude Opus 4.8
LMArena Vision: reading text13031255Claude Opus 4.8
LMArena Vision: humor12821263Claude Opus 4.8
LMArena Vision: captioningNot measured1252Only GPT-5.1 measured
LMArena Vision: recognizing thingsNot measured1232Only GPT-5.1 measured
LMArena Vision: creative writing13011266Claude Opus 4.8
LMArena Document14751403Claude Opus 4.8
Neither model has a result on the other 7 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.8 and GPT-5.1
BenchmarkClaude Opus 4.8GPT-5.1Leader
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 4.8$0.018Fits in one request
GPT-5.1$0.0063Fits in one request

GPT-5.1 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
GPT-5.1$0.092Fits in one request

GPT-5.1 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
GPT-5.1$0.350Fits in one request

GPT-5.1 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 4.8 and GPT-5.1
SpecificationAnthropic Claude Opus 4.8OpenAI GPT-5.1
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026November 13, 2025
Context window1M400K
Input $/Mtok$5.00$1.25
Output $/Mtok$25.00$10.00
Coding index65.040.4
Independent measurements behind it63
Cost per solved task$2.17$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than GPT-5.1 for coding?

Pick Claude Opus 4.8 for coding: it scores 65.0 on the Vibe Coding Index against 40.4 for GPT-5.1. Pick GPT-5.1 for output tokens 2.5x cheaper ($10.00 vs $25.00 per million) and a lower cost per solved task ($1.02 against $2.17).

Which is cheaper, Claude Opus 4.8 or GPT-5.1?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; GPT-5.1 costs $1.25 and $10.00. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and GPT-5.1 $1.02.

Which has the bigger context window, Claude Opus 4.8 or GPT-5.1?

Claude Opus 4.8, with 1M tokens against 400K.

How many benchmarks is the Claude Opus 4.8 vs GPT-5.1 comparison based on?

85 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.8's coding index rests on 6 independent benchmarks and GPT-5.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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