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Claude Opus 4.8 vs o3

Updated October 21, 2026. 74 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.8 Replace o3
Claude Opus 4.8Anthropic
Coding
66.0
Overall
41.8
Output $/M
$25.00
72
o3OpenAI
Coding
70.7
Overall
20.2
Output $/M
$8.00
2
vs boards won of 74 shared

Decision reading

Pick o3 for coding: it scores 70.7 on the Vibe Coding Index against 66.0 for Claude Opus 4.8.

Pick Claude Opus 4.8 when the context window is larger, 1M against 200K tokens, or when what matters is LiveCodeBench (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AClaude Opus 4.8Anthropic66.0/1002 independent benchmarks$2.17 per solved taskModel Bo3OpenAI70.7/1002 independent benchmarks$0.571 per solved task
Shared results
74
Claude Opus 4.8 only
52
o3 only
23
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 66.0 from 2 benchmarks, o3 70.7 from 2 benchmarks.
Widest category
Web design, 24.1 points apart on average over 5 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.8 72.1% against o3 6.5%, 65.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against o3 $8.00 per million output tokens, 3.1x apart.
Context window
Claude Opus 4.8 takes 1M tokens, o3 200K.

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 4.8Barso3Ties
Coding60
Intelligence20
Agentic work20
Reasoning150
Math40
Knowledge101
Web design50
General281
All shared boards722
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Opus 4.8 and o3
BenchmarkClaude Opus 4.8o3Leader
Aider polyglotNot measured81.3%Only o3 measured
SWE-bench VerifiedNot measured58.4%Only o3 measured
SWE-bench MultimodalNot measured36.0%Only o3 measured
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev1556Not measuredOnly Claude Opus 4.8 measured
AA Coding Index74.3Not measuredOnly Claude Opus 4.8 measured
LiveCodeBench (Vals AI)87.8%83.9%Claude Opus 4.8
SWE-bench Verified (Vals AI)88.6%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%Not measuredOnly Claude Opus 4.8 measured
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 measured80.8%Only o3 measured
SciCode54.4%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench Hard (Artificial Analysis run)58.3%37.1%Claude Opus 4.8
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%8.8%Claude Opus 4.8
WeirdML82.9%52.4%Claude Opus 4.8
ALE-BenchNot measured933.5Only o3 measured
LMArena Text: coding14901407Claude Opus 4.8
LMArena Text: software and IT14881415Claude Opus 4.8
LMArena WebDev: React1557Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev: HTML1543Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.8 and o3
BenchmarkClaude Opus 4.8o3Leader
AA Intelligence Index41.820.2Claude Opus 4.8
Epoch Capabilities Index159.0146.7Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.8 and o3
BenchmarkClaude Opus 4.8o3Leader
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 apps1237Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1238Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1221Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1227Not 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%80.7%Claude Opus 4.8
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
METR time horizonsNot measured65.4%Only o3 measured
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
GDPvalNot measured30.8%Only o3 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%45.2%Claude Opus 4.8
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
OSWorldNot measured23.0%Only o3 measured
Vending-Bench 2$5,787Not measuredOnly Claude Opus 4.8 measured
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 10 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index150
Reasoning benchmarks for Claude Opus 4.8 and o3
BenchmarkClaude Opus 4.8o3Leader
GPQA Diamond92.4%84.1%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%80.4%Claude Opus 4.8
GPQA Diamond (Artificial Analysis run)92.0%82.7%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%20.1%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%81.8%Claude Opus 4.8
ARC-AGI92.5%60.8%Claude Opus 4.8
ARC-AGI-272.1%6.5%Claude Opus 4.8
SimpleBench64.8%53.1%Claude Opus 4.8
Chess puzzles52.0%37.0%Claude Opus 4.8
Mystery game puzzles36.0%29.0%Claude Opus 4.8
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
VPCTNot measured52.0%Only o3 measured
LMArena Text: hard prompts14821402Claude Opus 4.8
LMArena Text: expert15031402Claude Opus 4.8
LMArena Text: hard prompts in English14871411Claude Opus 4.8
LMArena Vision: diagrams13151220Claude Opus 4.8
LMArena Vision: homework13371234Claude Opus 4.8
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Opus 4.8 and o3
BenchmarkClaude Opus 4.8o3Leader
AIMENot measured85.3%Only o3 measured
MATH 500 (Vals AI)Not measured94.6%Only o3 measured
MGSM (Vals AI)Not measured91.8%Only o3 measured
AA Math IndexNot measured88.3Only o3 measured
AIME 2025 (Artificial Analysis run)Not measured88.3%Only o3 measured
OTIS Mock AIME98.3%84.4%Claude Opus 4.8
FrontierMath, tiers 1 to 380.0%33.3%Claude Opus 4.8
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%Not measuredOnly Claude Opus 4.8 measured
MATH level 5Not measured97.8%Only o3 measured
LMArena Text: math14861426Claude Opus 4.8
LMArena Text: mathematical work14971423Claude Opus 4.8
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index101
Knowledge benchmarks for Claude Opus 4.8 and o3
BenchmarkClaude Opus 4.8o3Leader
MMLU Pro89.6%85.6%Claude Opus 4.8
LegalBench (Vals AI)83.6%83.8%o3
CorpFin (Vals AI)66.7%59.7%Claude Opus 4.8
TaxEval (Vals AI)75.6%74.6%Claude Opus 4.8
MortgageTax (Vals AI)69.9%65.7%Claude Opus 4.8
MedQA (Vals AI)Not measured96.1%Only o3 measured
MedCode (Vals AI)53.2%47.3%Claude Opus 4.8
MMLU Pro (Artificial Analysis run)Not measured85.3%Only o3 measured
SimpleQA Verified53.0%49.4%Claude Opus 4.8
GeoBenchNot measured74.0%Only o3 measured
LMArena Text: science14771429Claude Opus 4.8
LMArena Text: medicine and healthcare14641448Claude Opus 4.8
LMArena Text: legal and government14771428Claude Opus 4.8
LMArena Text: business and finance14581393Claude 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 index50
Web design benchmarks for Claude Opus 4.8 and o3
BenchmarkClaude Opus 4.8o3Leader
Design Arena: websites12581036Claude Opus 4.8
Design Arena: UI components12561016Claude Opus 4.8
Design Arena: game dev12641034Claude Opus 4.8
Design Arena: data viz12401200Claude Opus 4.8
Design Arena: 3D1223Not measuredOnly Claude Opus 4.8 measured
Design Arena: all code categories12551021Claude Opus 4.8
Design Arena: SVG1194Not measuredOnly Claude Opus 4.8 measured
Design Arena: ASCII art1276Not measuredOnly Claude Opus 4.8 measured
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index281
General benchmarks for Claude Opus 4.8 and o3
BenchmarkClaude Opus 4.8o3Leader
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%41.8%Claude Opus 4.8
MedScribe (Vals AI)85.8%76.7%Claude Opus 4.8
Vals Multimodal Index70.9%Not measuredOnly Claude Opus 4.8 measured
IFBench62.2%71.4%o3
Long context reasoning (AA-LCR)77.7%74.7%Claude Opus 4.8
DTBench94.9%84.8%Claude Opus 4.8
LMCA57.5%39.7%Claude Opus 4.8
Fiction.LiveBenchNot measured88.9%Only o3 measured
Creative writing (Lech Mazur)Not measured83.9%Only o3 measured
CL-benchNot measured17.8%Only o3 measured
Surface Evolver Bench87.5%Not measuredOnly Claude Opus 4.8 measured
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611410Claude Opus 4.8
LMArena Text: instruction following14761368Claude Opus 4.8
LMArena Text: creative writing14541359Claude Opus 4.8
LMArena Vision12941214Claude Opus 4.8
LMArena Text: English14681417Claude Opus 4.8
LMArena Text: non-English14501401Claude Opus 4.8
LMArena Text: Chinese15061437Claude Opus 4.8
LMArena Text: German14721420Claude Opus 4.8
LMArena Text: Japanese14421403Claude Opus 4.8
LMArena Text: Korean14311370Claude Opus 4.8
LMArena Text: French14811430Claude Opus 4.8
LMArena Text: Spanish14651395Claude Opus 4.8
LMArena Text: Russian14741406Claude Opus 4.8
LMArena Text: Polish14591438Claude Opus 4.8
LMArena Text: multi-turn14761405Claude Opus 4.8
LMArena Text: longer queries14831372Claude Opus 4.8
LMArena Text: writing and language14611372Claude Opus 4.8
LMArena Text: entertainment and media14401373Claude Opus 4.8
LMArena Vision: English12931221Claude Opus 4.8
LMArena Vision: Chinese13461237Claude Opus 4.8
LMArena Vision: reading text13031218Claude Opus 4.8
LMArena Vision: humor12821222Claude Opus 4.8
LMArena Vision: captioningNot measured1210Only o3 measured
LMArena Vision: recognizing thingsNot measured1234Only o3 measured
LMArena Vision: creative writing13011201Claude Opus 4.8
LMArena Document1475Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 6 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 o3
BenchmarkClaude Opus 4.8o3Leader
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
o3$0.0060Fits in one request

o3 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.8$0.325Fits in one request
o3$0.124Fits in one request

o3 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.8$1.25Fits in one request
o3$0.480Exceeds the context window

o3 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 o3
SpecificationAnthropic Claude Opus 4.8OpenAI o3
MakerAnthropicOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026April 16, 2025
Context window1M200K
Input $/Mtok$5.00$2.00
Output $/Mtok$25.00$8.00
Coding index66.070.7
Independent measurements behind it22
Cost per solved task$2.17$0.571
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than o3 for coding?

Pick o3 for coding: it scores 70.7 on the Vibe Coding Index against 66.0 for Claude Opus 4.8. Pick Claude Opus 4.8 when the context window is larger, 1M against 200K tokens, or when what matters is LiveCodeBench (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Claude Opus 4.8 or o3?

Claude Opus 4.8 costs $5.00 per million input tokens and $25.00 per million output tokens; o3 costs $2.00 and $8.00. Per solved SWE-bench Verified task, Claude Opus 4.8 costs $2.17 and o3 $0.571.

Which has the bigger context window, Claude Opus 4.8 or o3?

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

How many benchmarks is the Claude Opus 4.8 vs o3 comparison based on?

74 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 2 independent benchmarks and o3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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