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Claude Opus 5

Released Jul 24, 2026 see all recent releases

Decision reading
Claude Opus 5 scores 82.7 out of 100 and ranks #2 of 224. This profile shows 63 source-displayable benchmark rows; its strongest eligible category is Agentic at #1. API pricing is $5 input and $25 output per million tokens, with cached input at $0.5.

Data as of August 22, 2026 · How the score is built

Strongest published evidence

Agentic ranks #1. Particularly useful for coding agents, browser research, and computer-use workflows.

Validate before choosing

63 published rows leave some tracked benchmark slots empty. Coding is its lowest eligible category at #5.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

82.7/100

field median 58

#2 of 224 ranked models

Price

$5input / $25 output

input median $1

cached $0.50 · batch + cache $0.25 · blended $15

Speed

62tok/s

field median 91.5 tok/s

First token 52.65 s

Context

1Mtokens

field median 200,000

Maximum output length is tracked separately

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Claude Opus 5 category percentile values

  • Agentic100th percentile
  • Coding97th percentile
  • ReasoningNot eligible
  • Knowledge100th percentile
  • MathNot eligible
  • MultilingualNot eligible
  • Multimodal100th percentile
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#1/137
  2. Coding#5/141
  3. ReasoningNot ranked
  4. Knowledge#1/60
  5. MathNot ranked
  6. MultilingualNot ranked
  7. Multimodal#1/34
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Explore all models

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

Current modelClaude Opus 5 · 82.7 score · $15 blended per million tokens
405060708090$0.50$1$5$10$25$50$100↘ frontierClaude Opus 5

Horizontal: blended price per million tokens, log scale · Vertical: public score

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic18/18 verified
  2. Coding11/11 verified
  3. Reasoning3/3 verified
  4. Knowledge15/15 verified
  5. Math5/5 verified
  6. Multilingual3/3 verified
  7. Multimodal8/8 verified
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
claude-opus-5Anthropic model overview
Context window
1MAnthropic model overview
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
text, imageAnthropic model overview
Output modalities
textAnthropic model overview
Parameters
Not disclosed by the provider
Availability
Claude APIAnthropic model overview
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.50 per million cached input tokensClaude API pricing
Self-host
Weights are not published
Rate limits
Not tracked yet

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #1 of 137Percentile 100thWeight 22%18 benchmarksVerified79.7
CodingRank #5 of 141Percentile 97thWeight 20%11 benchmarksVerified78.3
ReasoningRank Not rankedWeight 17%3 benchmarksVerified90.8
KnowledgeRank #1 of 60Percentile 100thWeight 12%15 benchmarksVerified93.5
MathWeight 5%5 benchmarksVerifiedScore pending
MultilingualWeight 7%3 benchmarksVerifiedScore pending
MultimodalRank #1 of 34Percentile 100thWeight 12%8 benchmarksVerified88.5
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding11 rows
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore96%Versus best verified row

Best verified: Claude Opus 5 · 96%

GapBest verifiedWeightWeighted 16%
SWE-bench ProScore79.2%Versus best verified row

Best verified: Claude Mythos 5 · 80.3%

Gap1.1 behindWeightWeighted 10%
SWE MultilingualScore89.5%Versus best verified row

Best verified: Claude Opus 5 · 89.5%

GapBest verifiedWeightDisplay only
SWE MultimodalSWE-bench MultimodalScore59.4%Versus best verified row

Best verified: Claude Opus 5 · 59.4%

GapBest verifiedWeightDisplay only
deepSweScore68.8%Versus best verified row

Best verified: GPT-5.6 Sol · 72.7%

Gap3.9 behindWeightDisplay only
FrontierCode 1.1 MainScore53.4%Versus best verified row

Best verified: Claude Fable 5 · 53.5%

Gap0.1 behindWeightDisplay only
FrontierCode 1.1 ExtendedScore63.6%Versus best verified row

Best verified: Claude Opus 5 · 63.6%

GapBest verifiedWeightDisplay only
ProgramBench (episode 1)ProgramBench hidden-test pass rate after episode 1Score83.0%Versus best verified row

Best verified: Claude Opus 5 · 83.0%

GapBest verifiedWeightDisplay only
ProgramBenchProgramBench: Can Language Models Rebuild Programs From Scratch?Score93.0%Versus best verified row

Best verified: Claude Opus 5 · 93.0%

GapBest verifiedWeightDisplay only
cursorBench32Score70.0%Versus best verified row

Best verified: Grok 4.6 · 70.8%

Gap0.8 behindWeightDisplay only
VulcanBench v3Score87.0%Versus best verified row

Best verified: Grok 4.5 · 91.3%

Gap4.3 behindWeightDisplay only
Agentic18 rows
Agentic benchmark values, best verified comparison, weight, and source status
BrowseCompScore90.8%Versus best verified row

Best verified: GPT-5.6 Sol · 92.2%

Gap1.4 behindWeightWeighted 28%
Terminal-Bench 3.0Score42.7%Versus best verified row

Best verified: Claude Opus 5 · 42.7%

GapBest verifiedWeightDisplay only
HLE w/ toolsHumanity's Last Exam with toolsScore64.7%Versus best verified row

Best verified: Claude Opus 5 · 64.7%

GapBest verifiedWeightDisplay only
DeepSearchQAScore95.0%Versus best verified row

Best verified: Claude Opus 5 · 95.0%

GapBest verifiedWeightDisplay only
DRACOData Research and Analysis with Complex OperationsScore88.6%Versus best verified row

Best verified: Claude Opus 5 · 88.6%

GapBest verifiedWeightDisplay only
BrowseComp (10-agent, prerelease)Multi-Agent BrowseComp — 10-agent team prerelease configurationScore93.6%Versus best verified row

Best verified: Claude Opus 5 · 93.6%

GapBest verifiedWeightDisplay only
OSWorld 2.0Score70.6%Versus best verified row

Best verified: Claude Opus 5 · 70.6%

GapBest verifiedWeightDisplay only
MCP AtlasScore85.8%Versus best verified row

Best verified: Muse Spark 1.1 · 88.1%

Gap2.3 behindWeightDisplay only
MCP-Atlas claim coverageMCP-Atlas mean claim coverageScore89.1%Versus best verified row

Best verified: Claude Opus 5 · 89.1%

GapBest verifiedWeightDisplay only
LAB all-pass (Anthropic harness)Legal Agent Benchmark all-pass rate — Anthropic harnessScore23.58%Versus best verified row

Best verified: Claude Opus 5 · 23.58%

GapBest verifiedWeightDisplay only
LAB criterion-pass (Anthropic harness)Legal Agent Benchmark mean criterion-pass rate — Anthropic harnessScore93.74%Versus best verified row

Best verified: Claude Opus 5 · 93.74%

GapBest verifiedWeightDisplay only
LAB all-pass (Harvey held-out)Legal Agent Benchmark all-pass rate — Harvey held-out setScore11.7%Versus best verified row

Best verified: Claude Opus 5 · 11.7%

GapBest verifiedWeightDisplay only
LAB criterion-pass (Harvey held-out)Legal Agent Benchmark mean criterion-pass rate — Harvey held-out setScore94.1%Versus best verified row

Best verified: Claude Opus 5 · 94.1%

GapBest verifiedWeightDisplay only
Toolathlon-VerifiedScore80.6%Versus best verified row

Best verified: Claude Opus 5 · 80.6%

GapBest verifiedWeightDisplay only
Toolathlon Verified Pass@3Score87.0%Versus best verified row

Best verified: Claude Opus 5 · 87.0%

GapBest verifiedWeightDisplay only
Toolathlon Verified Pass³Toolathlon Verified Pass cubedScore73.1%Versus best verified row

Best verified: Claude Opus 5 · 73.1%

GapBest verifiedWeightDisplay only
Toolathlon Verified avg. turnsToolathlon Verified average assistant turnsScore23.5 turnsVersus best verified row

Best verified: Claude Opus 5 · 23.5 turns

GapBest verifiedWeightDisplay only
AutomationBenchScore26.0%Versus best verified row

Best verified: GLM-5.3 · 48.2%

Gap22.2 behindWeightDisplay only
Reasoning3 rows
Reasoning benchmark values, best verified comparison, weight, and source status
ARC-AGI-2Abstraction and Reasoning Corpus for AGI v2Score90.4%Versus best verified row

Best verified: GPT-5.6 Sol · 92.5%

Gap2.1 behindWeightWeighted 31%
ARC-AGI-1ARC-AGI-1 Semi-Private EvaluationScore97.50%Versus best verified row

Best verified: Claude Opus 5 · 97.50%

GapBest verifiedWeightDisplay only
ARC-AGI-3Abstraction and Reasoning Corpus for AGI v3Score30.2%Versus best verified row

Best verified: Claude Opus 5 · 30.2%

GapBest verifiedWeightDisplay only
Knowledge15 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLEHumanity's Last ExamScore64.7%Versus best verified row

Best verified: Claude Opus 5 · 64.7%

GapBest verifiedWeightWeighted 45%
HLE w/o toolsHumanity's Last Exam without toolsScore56.3%Versus best verified row

Best verified: Claude Mythos 5 · 59%

Gap2.7 behindWeightDisplay only
HealthBench (raw)HealthBench raw scoreScore67.1%Versus best verified row

Best verified: Claude Opus 5 · 67.1%

GapBest verifiedWeightDisplay only
HealthBench (length-adjusted)HealthBench length-adjusted scoreScore57.8%Versus best verified row

Best verified: Claude Opus 5 · 57.8%

GapBest verifiedWeightDisplay only
HealthBench ProfessionalScore59.8%Versus best verified row

Best verified: GPT-5.6 Sol · 60.5%

Gap0.7 behindWeightDisplay only
HealthBench Professional (raw)HealthBench Professional raw scoreScore73.4%Versus best verified row

Best verified: Claude Opus 5 · 73.4%

GapBest verifiedWeightDisplay only
BioMysteryBench (human-solvable)BioMysteryBench Human SolvableScore90.1%Versus best verified row

Best verified: Claude Opus 5 · 90.1%

GapBest verifiedWeightDisplay only
BioMysteryBench (human-difficult)BioMysteryBench Human DifficultScore49.4%Versus best verified row

Best verified: Claude Opus 5 · 49.4%

GapBest verifiedWeightDisplay only
SpatialBench VerifiedLatchBio SpatialBench VerifiedScore72.5%Versus best verified row

Best verified: Claude Opus 5 · 72.5%

GapBest verifiedWeightDisplay only
SingleCellBenchLatchBio SingleCellBenchScore60.6%Versus best verified row

Best verified: Claude Opus 5 · 60.6%

GapBest verifiedWeightDisplay only
ProteinGym HardScore47.7%Versus best verified row

Best verified: Claude Opus 5 · 47.7%

GapBest verifiedWeightDisplay only
Protein DesignAnthropic Protein Design evaluationScore42.5%Versus best verified row

Best verified: Claude Opus 5 · 42.5%

GapBest verifiedWeightDisplay only
Organic chemistry V2Anthropic Organic Chemistry V2 evaluationScore61.6%Versus best verified row

Best verified: Claude Opus 5 · 61.6%

GapBest verifiedWeightDisplay only
Protocols (troubleshooting)Molecular Biology Protocols TroubleshootingScore61.1%Versus best verified row

Best verified: Claude Opus 5 · 61.1%

GapBest verifiedWeightDisplay only
Protocols (understanding)Benchling Molecular Biology Protocols UnderstandingScore78.4%Versus best verified row

Best verified: Claude Opus 5 · 78.4%

GapBest verifiedWeightDisplay only
Math5 rows
Math benchmark values, best verified comparison, weight, and source status
IMO 2026International Mathematical Olympiad 2026Score42/42Versus best verified row

Best verified: Claude Opus 5 · 42/42

GapBest verifiedWeightDisplay only
RiemannBench (no tools)RiemannBench without toolsScore60.0%Versus best verified row

Best verified: Claude Opus 5 · 60.0%

GapBest verifiedWeightDisplay only
RiemannBench (tools)RiemannBench with toolsScore79.0%Versus best verified row

Best verified: Claude Opus 5 · 79.0%

GapBest verifiedWeightDisplay only
ArXivMath Jun. 2026 (no tools)ArXivMath June 2026 without toolsScore90.8%Versus best verified row

Best verified: Claude Opus 5 · 90.8%

GapBest verifiedWeightDisplay only
ArXivMath Jun. 2026 (tools)ArXivMath June 2026 with toolsScore91.3%Versus best verified row

Best verified: Claude Opus 5 · 91.3%

GapBest verifiedWeightDisplay only
Multilingual3 rows
Multilingual benchmark values, best verified comparison, weight, and source status
GMMLUGlobal MMLUScore92.5%Versus best verified row

Best verified: Claude Opus 5 · 92.5%

GapBest verifiedWeightDisplay only
MILUMulti-task Indic Language Understanding BenchmarkScore92.1%Versus best verified row

Best verified: Claude Opus 5 · 92.1%

GapBest verifiedWeightDisplay only
INCLUDEScore89.8%Versus best verified row

Best verified: Claude Opus 5 · 89.8%

GapBest verifiedWeightDisplay only
Multimodal8 rows
Multimodal benchmark values, best verified comparison, weight, and source status
OfficeQA ProScore66.9%Versus best verified row

Best verified: Claude Opus 5 · 66.9%

GapBest verifiedWeightWeighted 30%
Chartography (no tools)Chartography without toolsScore29.6%Versus best verified row

Best verified: Claude Opus 5 · 29.6%

GapBest verifiedWeightDisplay only
Chartography (tools)Chartography with image and code toolsScore83.0%Versus best verified row

Best verified: Claude Opus 5 · 83.0%

GapBest verifiedWeightDisplay only
BenchCAD Vision2Code (no tools)BenchCAD Vision2Code voxel IoU without toolsScore0.366Versus best verified row

Best verified: Claude Opus 5 · 0.366

GapBest verifiedWeightDisplay only
BenchCAD Vision2Code (tools)BenchCAD Vision2Code voxel IoU with toolsScore0.821Versus best verified row

Best verified: Claude Opus 5 · 0.821

GapBest verifiedWeightDisplay only
GDP.pdf (no tools)GDP.pdf mean criteria pass rate without toolsScore83.4%Versus best verified row

Best verified: Claude Opus 5 · 83.4%

GapBest verifiedWeightDisplay only
GDP.pdf (tools)GDP.pdf mean criteria pass rate with toolsScore85.5%Versus best verified row

Best verified: Claude Opus 5 · 85.5%

GapBest verifiedWeightDisplay only
OfficeQAScore78.1%Versus best verified row

Best verified: Claude Opus 5 · 78.1%

GapBest verifiedWeightDisplay only

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Claude Opus 5 ranks #2 of 224 on the public leaderboard with a score of 82.72/100. Its source-verified position is #2 of 104.

Claude Opus 5 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Available on all Claude platforms and through the Claude API as claude-opus-5. It is the default model on Claude Max and the strongest model offered on Claude Pro. Anthropic lists Opus 5 at $5 input / $25 output per million tokens, with Fast mode running around 2.5× the default speed at twice the base price.

Official exact-value snapshot from Anthropic's July 24, 2026 Claude Opus 5 launch post and system card, supplemented by Cursor's live CursorBench 3.2 Max row. BenchLM maps the highest published effort setting into the canonical row and uses the verified high-effort ARC-AGI-3 result because no max-effort score was available at launch.

Its explicit predecessor is Claude Opus 4.8. 63 of 402 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Agentic at #1, while its lowest eligible position is Coding at #5. particularly useful for coding agents, browser research, and computer-use workflows.

Radar

Claude Opus 5 release history

Full release history

Frequently asked questions

How does Claude Opus 5 perform overall in AI benchmarks?

Claude Opus 5 ranks #2 out of 224 models on the public BenchAlign leaderboard, with a score of 82.72/100. Its evidence status is Supported, and this profile shows 63 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Claude Opus 5 good for knowledge and understanding?

Claude Opus 5 ranks #1 out of 60 eligible models for knowledge and understanding, with a public category score of 93.5/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 5 good for coding and programming?

Claude Opus 5 ranks #5 out of 141 eligible models for coding and programming, with a public category score of 78.3/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 5 good for mathematics?

Claude Opus 5 has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Claude Opus 5 good for reasoning and logic?

Claude Opus 5 has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Claude Opus 5 good for agentic tool use and computer tasks?

Claude Opus 5 ranks #1 out of 137 eligible models for agentic tool use and computer tasks, with a public category score of 79.7/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 5 good for multimodal and grounded tasks?

Claude Opus 5 ranks #1 out of 34 eligible models for multimodal and grounded tasks, with a public category score of 88.5/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Claude Opus 5 good for multilingual tasks?

Claude Opus 5 has source-displayable benchmark coverage for multilingual tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Does Claude Opus 5 have full benchmark coverage on BenchLM?

No. Claude Opus 5 currently has 82 source-displayable rows across 402 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Claude Opus 5?

Claude Opus 5 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Last updated August 22, 2026. Runtime fields remain blank until a sourced snapshot exists.

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