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Claude Opus 4.8 (Adaptive Reasoning, Max Effort)

deprecated by benchmark source★ featured
Anthropic · released 2026-05-28 · 16 recorded token offers

Top 5 cheapest providers (Adjusted $/task)

Within the active global provider, residency and confidentiality filters.

#ProviderPlatformRaw input $/1MRaw output $/1MAdjusted $/task
1Google Vertex AIGoogle Vertex AI$5.00$25.00
2AnthropicAnthropic$5.00$25.00
3Claude Platform on AWSOpenRouter$5.00$25.00
4AzureOpenRouter$5.00$25.00
5Amazon BedrockOpenRouter$5.00$25.00

Benchmarks

Composite84.3
Composite evidence3/5
AA Coding · unversioned snapshot 2026-09-1074.3
AA Coding Agent · v1.4 · 2026-09-0962.1
AA Intelligence · unversioned snapshot 2026-09-1042.0
DesignArena Frontend · unversioned snapshot 2026-09-10
DesignArena Full-Stack · unversioned snapshot 2026-09-10
Output speed (t/s)0

MODEL EVIDENCE

Benchmark sheet

20 / 73 registered benchmark versions covered · 22 observations including existing index snapshots.

Compare this model ↗
Composite retains Coding Agent v1.4 · source 2026-09-09

The five Composite inputs remain unchanged. Its Coding Agent input is the median across complete harness results in the retained v1.4 snapshot from 2026-09-09. Artificial Analysis now publishes v1.5, with different components. Explore current v1.5 separately. Dated snapshot labels on other indices identify unversioned source captures, not a verified semantic version.

Profile signals

No threshold-crossing signal · 21 eligible benchmark families

How flags are calculated

Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.

Protocol-compatible measured/vendor divergences

No verified protocol-compatible vendor/measured pair is available for this model; agreement cannot be assessed.

Agentic

Agentic: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA-AnalystAgent

Version snapshot-2026-09-10

Published board

Tests analyst tasks using agentic Python execution across fourteen domains.

0.45 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-AnalystAgent · snapshot-2026-09-10 · Published board
Exact value: 0.45 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:analystAgent
AA-Briefcase

Version snapshot-2026-09-10

Published board

Tests multi-week professional knowledge-work projects with linked tasks and large source collections.

1315.95 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Briefcase · snapshot-2026-09-10 · Published board
Exact value: 1315.95 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:briefcaseBreakdown.overall.elo
GDPval-AA v2

Version 2

Published board

Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.

1489.04 Elomeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDPval-AA v2 · 2 · Published board
Exact value: 1489.04 Elo
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:gdpval
Harvey LAB-AA

Version snapshot-2026-09-10

Published board

Tests legal-work deliverables across practice areas on Harvey's private task set.

0.91084 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Harvey LAB-AA · snapshot-2026-09-10 · Published board
Exact value: 0.910840932117528 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:harveyLab
Terminal-Bench Hard (AA)

Version 74221fb

Published board

Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.

0.58333 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench Hard (AA) · 74221fb · Published board
Exact value: 0.583333333333333 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:terminalbenchHard
Terminal-Bench v2.1 (AA)

Version 2.1

Published board

Tests terminal-based work on the 89-task verified refresh using Terminus 2.

0.84644 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v2.1 (AA) · 2.1 · Published board
Exact value: 0.846441947565543 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:terminalbenchV21
Terminal-Bench v4.0 (AA)

Version 4.0

Published board

Tests terminal-based work on the 66-task release using mini-SWE-agent v2.4.6.

0.21717 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench v4.0 (AA) · 4.0 · Published board
Exact value: 0.217171717171717 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:terminalbenchV40

Coding

Coding: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
SciCode (AA subproblems)

Version 1.0.1

Published board

Tests scientific Python programming with scientist-annotated background information.

0.54398 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: SciCode (AA subproblems) · 1.0.1 · Published board
Exact value: 0.543981481481482 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:scicode
AA Coding Index

Version snapshot-2026-09-10 (unversioned)

Published board

Published AA index from the retained API snapshot. No verified semantic version was supplied.

74.3 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Coding Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 74.3 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_coding_index:claude-opus-4.8::max
Protocol: inspect · file data/raw/artificialanalysis.json

Instruction-following

Instruction-following: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
IFBench (AA single-turn)

Version snapshot-2026-09-10

Published board

Tests precise single-turn instructions with deterministic rule checks.

0.62245 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: IFBench (AA single-turn) · snapshot-2026-09-10 · Published board
Exact value: 0.622448979591837 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:ifbench

Knowledge

Knowledge: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
Humanity's Last Exam (AA text-only)

Version snapshot-2026-09-10

Published board

Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.

0.48656 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Humanity's Last Exam (AA text-only) · snapshot-2026-09-10 · Published board
Exact value: 0.486561631139944 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:hle
AA-Omniscience Index

Version snapshot-2026-09-10

Published board

Tests factual reliability while rewarding correct answers and penalizing hallucinations.

28.75 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Omniscience Index · snapshot-2026-09-10 · Published board
Exact value: 28.75 points
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:omniscience

Long-context

Long-context: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
GDP.pdf (AA)

Version snapshot-2026-09-10

Published board

Tests professional reasoning over long PDFs with AA document preparation and grading.

0.228 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GDP.pdf (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.228 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:gdpPdfAllPass
AA-LCR v1.1

Version 1.1

Published board

Tests reasoning across multiple long documents with corrected answer keys and grading.

0.77667 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-LCR v1.1 · 1.1 · Published board
Exact value: 0.776666666666667 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:lcr
MLCR-AA

Version snapshot-2026-09-10

Published board

Tests medical-record synthesis and reasoning across long, fragmented case documents.

0.45556 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MLCR-AA · snapshot-2026-09-10 · Published board
Exact value: 0.455555555555556 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:mlcrOverall

Reasoning

Reasoning: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA Intelligence Index

Version snapshot-2026-09-10 (unversioned)

Published board

Published AA index from the retained API snapshot. No verified semantic version was supplied.

42 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Intelligence Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 42 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_intelligence_index:claude-opus-4.8::max
Protocol: inspect · file data/raw/artificialanalysis.json

Science

Science: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
CritPt (AA)

Version snapshot-2026-09-10

Published board

Tests research-level physics reasoning with Python, symbolic and numerical answers.

0.20857 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: CritPt (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.208571428571429 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:critpt
GPQA Diamond (AA)

Version snapshot-2026-09-10

Published board

Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.

0.9202 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GPQA Diamond (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.92020202020202 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:gpqa

Tool-use

Tool-use: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AutomationBench-AA

Version 1.0.6

Published board

Tests multi-app SaaS workflows through REST tools on a held-out AutomationBench split.

0.45593 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AutomationBench-AA · 1.0.6 · Published board
Exact value: 0.45593436915277186 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:automationBenchPartialScore
EnterpriseOps-Gym-AA

Version snapshot-2026-09-10

Published board

Tests enterprise workflows through MCP tools against resettable application environments.

0.43957 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: EnterpriseOps-Gym-AA · snapshot-2026-09-10 · Published board
Exact value: 0.4395702775290958 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:enterpriseOpsGym
τ²-Bench Telecom (AA)

Version snapshot-2026-09-10

Published board

Tests dual-control telecom agents that coordinate tool use with a simulated user.

0.94444 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ²-Bench Telecom (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.944444444444445 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:tau2
τ³-Banking (AA)

Version 1.0.1

Published board

Tests banking support agents that retrieve policies and change account state through tools.

0.34227 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ³-Banking (AA) · 1.0.1 · Published board
Exact value: 0.342268041237113 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:992b7b84-5069-4c6a-9295-834252553d50:tauBanking
Missing coverage · 55 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Variants / reasoning settings

VariantCoding · snapshot 2026-09-10Intelligence · snapshot 2026-09-10
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)74.342.0
Opus 4.8 (high)
Opus 4.8 (low)
Opus 4.8 (medium)
Opus 4.8 (xhigh)

GitHub Copilot

Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.

Input $5.00 / 1M
Cached input $0.500 / 1M
Cache write $6.25 / 1M
Output $25.00 / 1M
Status GA

Fast mode research preview · separate opt-in mode, not the standard model price.

Input $10.00 / 1M
Cached input $1.00 / 1M
Output $50.00 / 1M

Legacy annual Pro/Pro+ request billing only.

Multiplier 27.00×
Effective cost $1.080 / request

Legacy annual-plan multiplier.

Token offers by platform — Adjusted $/task

Adjusted costs are modeled USD per task: AA output tokens × OpenRouter usage I/O (Chutes global fallback). These are general usage and benchmark proxies for coding-agent work. Missing AA data assumes 1,000 output tokens/task; unknown cache hit assumes 0%; unmeasured additional cache writes assume 0 tokens. Click any underlined price for exact inputs, dates and assumptions. Raw list prices use the selected fixed input/output blend, in USD per million tokens.

16 offers within the active global filters; “—” means the catalog is active but no public token price is available.

Google Vertex AI (2)

Google Vertex AIglobal$5.00 raw in $/1M$25.00 raw out $/1M
Google Vertex AIeuEU$5.50 raw in $/1M$27.50 raw out $/1M

Anthropic (1)

Anthropicglobal$5.00 raw in $/1M$25.00 raw out $/1M

OpenRouter (11)

Claude Platform on AWSglobalclaude-on-aws$5.00 raw in $/1M$25.00 raw out $/1M
Azureglobalazure/us$5.00 raw in $/1M$25.00 raw out $/1M
Azureglobalazure/global$5.00 raw in $/1M$25.00 raw out $/1M
Amazon Bedrockglobalamazon-bedrock$5.00 raw in $/1M$25.00 raw out $/1M
Googleglobalgoogle-vertex/global$5.00 raw in $/1M$25.00 raw out $/1M
Anthropicglobalanthropic$5.00 raw in $/1M$25.00 raw out $/1M
Amazon Bedrockglobalamazon-bedrock/us$5.50 raw in $/1M$27.50 raw out $/1M
Googleglobalgoogle-vertex/us$5.50 raw in $/1M$27.50 raw out $/1M
Amazon Bedrockeuamazon-bedrock/eu-west-1EU$5.50 raw in $/1M$27.50 raw out $/1M
Googleeugoogle-vertex/europeEU$5.50 raw in $/1M$27.50 raw out $/1M
Anthropicglobalanthropic/fast$10.00 raw in $/1M$50.00 raw out $/1M

AWS Bedrock (1)

AWS Bedrockeu-central-1 (EU cross-region inference profile)EU$5.50 raw in $/1M$27.50 raw out $/1M

T-Systems LLM Hub (1)

T-Systems LLM HubeuEU$5.75 raw in $/1M$28.76 raw out $/1M
Benchmark Heaven — Model benchmarks & costs