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Claude Opus 4.1 vs Claude Opus 4.8

Claude Opus 4.8 leads Claude Opus 4.1 on the Artificial Analysis Intelligence Index, 41.8 to 22.8, and Claude Opus 4.8 costs 3.0x less per output token ($25.00 vs $75.00 per million). Updated October 21, 2026; 63 benchmarks have a result for both.

Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
0
Claude Opus 4.8Anthropic
Coding
65.0
Overall
69.8
Output $/M
$25.00
63
vs boards won of 63 shared

Claude Opus 4.1 or Claude Opus 4.8: which to pick

Only Claude Opus 4.8 has a coding score, 65.0 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
63
Claude Opus 4.1 only
10
Claude Opus 4.8 only
67
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 4.1 not benchmarked, Claude Opus 4.8 65.0 from 6 benchmarks.
Widest category
Math, 34.0 points apart on average over 5 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Claude Opus 4.1 12.6% against Claude Opus 4.8 80.0%, 67.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against Claude Opus 4.8 $25.00 per million output tokens, 3.0x apart.
Context window
Claude Opus 4.1 takes 200K tokens, Claude Opus 4.8 1M.

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 4.1BarsClaude Opus 4.8Ties
Coding07
Intelligence02
Agentic work01
Reasoning09
Math05
Knowledge010
Web design08
General021
All shared boards063
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Claude Opus 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
LiveBench codingNot measured77.3%Only Claude Opus 4.8 measured
LMArena WebDev13901556Claude Opus 4.8
AA Coding IndexNot measured74.3Only Claude Opus 4.8 measured
LiveCodeBench (Vals AI)66.5%87.8%Claude Opus 4.8
SWE-bench Verified (Vals AI)Not measured88.6%Only Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)Not measured23.2%Only Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)Not measured82.7%Only Claude Opus 4.8 measured
Code migration (Vals AI)Not measured47.3%Only Claude Opus 4.8 measured
ProgramBench (Vals AI)Not measured1.0%Only Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)Not measured71.9%Only Claude Opus 4.8 measured
SkillsBench (Vals AI)Not measured59.2%Only Claude Opus 4.8 measured
SciCodeNot measured54.4%Only Claude Opus 4.8 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured58.3%Only Claude Opus 4.8 measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
FrontierCodeNot measured46.5%Only Claude Opus 4.8 measured
GSO-BenchNot measured47.1%Only Claude Opus 4.8 measured
WeirdML45.9%82.9%Claude Opus 4.8
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791490Claude Opus 4.8
LMArena Text: software and IT14561488Claude Opus 4.8
LMArena WebDev: ReactNot measured1557Only Claude Opus 4.8 measured
LMArena WebDev: HTML13991543Claude Opus 4.8
SciCode4.6%12.3%Claude Opus 4.8
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 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
AA Intelligence Index22.841.8Claude Opus 4.8
Epoch Capabilities Index144.1159.0Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Opus 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
AA Agentic IndexNot measured41.9Only Claude Opus 4.8 measured
Design Arena: agents building web appsNot measured1233Only Claude Opus 4.8 measured
Design Arena: agents building full-stack appsNot measured1249Only Claude Opus 4.8 measured
Design Arena: agents building mobile appsNot measured1222Only Claude Opus 4.8 measured
Design Arena: agents building Android appsNot measured1232Only Claude Opus 4.8 measured
Design Arena: agents building Godot gamesNot measured1231Only Claude Opus 4.8 measured
Design Arena: agents building gamesNot measured1238Only Claude Opus 4.8 measured
Design Arena: HTML slidesNot measured1221Only Claude Opus 4.8 measured
Design Arena: PowerPoint slidesNot measured1227Only Claude Opus 4.8 measured
Design Arena: spreadsheetsNot measured1270Only Claude Opus 4.8 measured
LiveBench researchNot measured81.8%Only Claude Opus 4.8 measured
LiveBench browserNot measured96.0%Only Claude Opus 4.8 measured
LiveBench long agenticNot measured48.3%Only Claude Opus 4.8 measured
Finance Agent (Vals AI)Not measured53.9%Only Claude Opus 4.8 measured
Tax Agent Bench (Vals AI)Not measured30.0%Only Claude Opus 4.8 measured
Legal Research Bench (Vals AI)Not measured43.8%Only Claude Opus 4.8 measured
Excel Modeling Benchmark (Vals AI)Not measured69.4%Only Claude Opus 4.8 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Claude Opus 4.8 measured
Time Horizon Index (Vals AI)Not measured11.8%Only Claude Opus 4.8 measured
τ²-Bench TelecomNot measured94.4%Only Claude Opus 4.8 measured
APEX-AgentsNot measured48.9%Only Claude Opus 4.8 measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
Remote Labor IndexNot measured8.3%Only Claude Opus 4.8 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
OSWorld 2.0Not measured20.6%Only Claude Opus 4.8 measured
DeepResearch Bench48.3%50.2%Claude Opus 4.8
PostTrainBenchNot measured33.8%Only Claude Opus 4.8 measured
Vending-Bench 2Not measured$5,787Only Claude Opus 4.8 measured
LMArena SearchNot measured1204Only Claude Opus 4.8 measured
Neither model has a result on the other 12 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
Reasoning benchmarks for Claude Opus 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
GPQA Diamond76.3%92.4%Claude Opus 4.8
LiveBench reasoningNot measured89.2%Only Claude Opus 4.8 measured
MMMU Pro (Vals AI)77.5%86.6%Claude Opus 4.8
GPQA Diamond (Artificial Analysis run)Not measured92.0%Only Claude Opus 4.8 measured
Humanity's Last Exam (Artificial Analysis run)Not measured48.7%Only Claude Opus 4.8 measured
GPQA Diamond (Epoch AI run)77.3%91.0%Claude Opus 4.8
ARC-AGINot measured92.5%Only Claude Opus 4.8 measured
ARC-AGI-2Not measured72.1%Only Claude Opus 4.8 measured
SimpleBench60.0%64.8%Claude Opus 4.8
Chess puzzlesNot measured52.0%Only Claude Opus 4.8 measured
Mystery game puzzles21.0%36.0%Claude Opus 4.8
EBR-bench7.9%28.6%Claude Opus 4.8
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421482Claude Opus 4.8
LMArena Text: expert14381503Claude Opus 4.8
LMArena Text: hard prompts in English14511487Claude Opus 4.8
LMArena Vision: diagramsNot measured1315Only Claude Opus 4.8 measured
LMArena Vision: homeworkNot measured1337Only Claude Opus 4.8 measured
Kagi LLM BenchmarkNot measured88.8%Only 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 index05
Math benchmarks for Claude Opus 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%98.3%Claude Opus 4.8
FrontierMath, tiers 1 to 312.6%80.0%Claude Opus 4.8
FrontierMath, tier 42.4%56.1%Claude Opus 4.8
ProofBenchNot measured69.0%Only Claude Opus 4.8 measured
LMArena Text: math14311486Claude Opus 4.8
LMArena Text: mathematical work14341497Claude Opus 4.8
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for Claude Opus 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
MMLU Pro87.9%89.6%Claude Opus 4.8
LegalBench (Vals AI)83.5%83.6%Claude Opus 4.8
CorpFin (Vals AI)Not measured66.7%Only Claude Opus 4.8 measured
TaxEval (Vals AI)73.7%75.6%Claude Opus 4.8
MortgageTax (Vals AI)61.1%69.9%Claude Opus 4.8
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%53.2%Claude Opus 4.8
SimpleQA VerifiedNot measured53.0%Only Claude Opus 4.8 measured
LMArena Text: science14221477Claude Opus 4.8
LMArena Text: medicine and healthcare14161464Claude Opus 4.8
LMArena Text: legal and government14211477Claude Opus 4.8
LMArena Text: business and finance14061458Claude Opus 4.8
FACTS Benchmark Suite40.4%53.5%Claude Opus 4.8
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Opus 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
Design Arena: websites11771259Claude Opus 4.8
Design Arena: UI components11651257Claude Opus 4.8
Design Arena: game dev11711264Claude Opus 4.8
Design Arena: data viz11661240Claude Opus 4.8
Design Arena: 3D11531223Claude Opus 4.8
Design Arena: all code categories11711255Claude Opus 4.8
Design Arena: SVG11521194Claude Opus 4.8
Design Arena: ASCII art11671277Claude Opus 4.8
LiveBench designNot measured78.8%Only Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index021
General benchmarks for Claude Opus 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
LiveBench data analysisNot measured66.0%Only Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)Not measured68.1%Only Claude Opus 4.8 measured
SAGE (Vals AI)31.4%54.8%Claude Opus 4.8
MedScribe (Vals AI)73.9%85.8%Claude Opus 4.8
Vals Multimodal IndexNot measured70.9%Only Claude Opus 4.8 measured
IFBenchNot measured62.2%Only Claude Opus 4.8 measured
Long context reasoning (AA-LCR)Not measured77.7%Only Claude Opus 4.8 measured
DTBench80.0%94.9%Claude Opus 4.8
LMCA37.1%57.5%Claude Opus 4.8
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
Surface Evolver BenchNot measured87.5%Only Claude Opus 4.8 measured
Furniture assemblyNot measured42.5%Only Claude Opus 4.8 measured
LMArena Text14191461Claude Opus 4.8
LMArena Text: instruction following14351476Claude Opus 4.8
LMArena Text: creative writing14121454Claude Opus 4.8
LMArena VisionNot measured1294Only Claude Opus 4.8 measured
LMArena Text: English14331468Claude Opus 4.8
LMArena Text: non-English14051450Claude Opus 4.8
LMArena Text: Chinese14271506Claude Opus 4.8
LMArena Text: German14131472Claude Opus 4.8
LMArena Text: Japanese13771442Claude Opus 4.8
LMArena Text: Korean13811431Claude Opus 4.8
LMArena Text: French14331481Claude Opus 4.8
LMArena Text: Spanish14481465Claude Opus 4.8
LMArena Text: Russian14221474Claude Opus 4.8
LMArena Text: Polish14131459Claude Opus 4.8
LMArena Text: multi-turn14441476Claude Opus 4.8
LMArena Text: longer queries14551483Claude Opus 4.8
LMArena Text: writing and language14181461Claude Opus 4.8
LMArena Text: entertainment and media13981440Claude Opus 4.8
LMArena Vision: EnglishNot measured1293Only Claude Opus 4.8 measured
LMArena Vision: ChineseNot measured1346Only Claude Opus 4.8 measured
LMArena Vision: reading textNot measured1303Only Claude Opus 4.8 measured
LMArena Vision: humorNot measured1282Only Claude Opus 4.8 measured
LMArena Vision: creative writingNot measured1301Only Claude Opus 4.8 measured
LMArena DocumentNot measured1475Only Claude Opus 4.8 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.1 and Claude Opus 4.8
BenchmarkClaude Opus 4.1Claude Opus 4.8Leader
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 4.1$0.052Fits in one request
Claude Opus 4.8$0.018Fits in one request

Claude Opus 4.8 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.1$0.975Fits in one request
Claude Opus 4.8$0.325Fits in one request

Claude Opus 4.8 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.1$3.75Exceeds the context window
Claude Opus 4.8$1.25Fits in one request

Claude Opus 4.8 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 4.1 and Claude Opus 4.8
SpecificationAnthropic Claude Opus 4.1Anthropic Claude Opus 4.8
MakerAnthropicAnthropic
WeightsNo public weights listedNo public weights listed
ReleasedAugust 5, 2025May 27, 2026
Context window200K1M
Input $/Mtok$15.00$5.00
Output $/Mtok$75.00$25.00
Coding indexNot benchmarked65.0
Independent measurements behind it16
Cost per solved taskNot computable$2.17
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than Claude Opus 4.8 for coding?

Only Claude Opus 4.8 has a coding score, 65.0 on the Vibe Coding Index; Claude Opus 4.1 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Claude Opus 4.1 or Claude Opus 4.8?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 per million output tokens; Claude Opus 4.8 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.8 only.

Which has the bigger context window, Claude Opus 4.1 or Claude Opus 4.8?

Claude Opus 4.8, with 1M tokens against 200K.

How many benchmarks is the Claude Opus 4.1 vs Claude Opus 4.8 comparison based on?

63 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark and Claude Opus 4.8's on 6. Where only one model has a result, the page says so instead of naming a winner.

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