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Claude Opus 4.6 (Non-reasoning, High Effort)

deprecated by benchmark source★ featured
Anthropic · released 2026-02-05 · 11 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
5GoogleOpenRouter$5.00$25.00

Benchmarks

Composite70.0
Composite evidence1/5
AA Coding · unversioned snapshot 2026-09-10
AA Coding Agent · v1.4 · 2026-09-09
AA Intelligence · unversioned snapshot 2026-09-1026.4
DesignArena Frontend · unversioned snapshot 2026-09-10
DesignArena Full-Stack · unversioned snapshot 2026-09-10
Output speed (t/s)0

MODEL EVIDENCE

Benchmark sheet

9 / 73 registered benchmark versions covered · 10 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 · 10 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
Terminal-Bench Hard (AA)

Version 74221fb

Published board

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

0.48485 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Terminal-Bench Hard (AA) · 74221fb · Published board
Exact value: 0.484848484848485 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6:terminalbenchHard

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.

0.44626 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: IFBench (AA single-turn) · snapshot-2026-09-10 · Published board
Exact value: 0.446258503401361 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6: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.

0.19092 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: Humanity's Last Exam (AA text-only) · snapshot-2026-09-10 · Published board
Exact value: 0.190917516218721 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6:hle
AA-Omniscience Index

Version snapshot-2026-09-10

Published board

Tests factual reliability while rewarding correct answers and penalizing hallucinations.

2.36667 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-Omniscience Index · snapshot-2026-09-10 · Published board
Exact value: 2.36666666666667 points
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6:omniscience

Long-context

Long-context: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
AA-LCR v1.1

Version 1.1

Published board

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

0.67 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA-LCR v1.1 · 1.1 · Published board
Exact value: 0.67 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6:lcr

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.

26.4 pointsmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: AA Intelligence Index · snapshot-2026-09-10 (unversioned) · Published board
Exact value: 26.4 points
Observed: 2026-09-10 · publication date: not recorded
Observation id: legacy:aa_intelligence_index:claude-opus-4.6::non-reasoning-high
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.

0.02841 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: CritPt (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.0284081632653061 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6:critpt
GPQA Diamond (AA)

Version snapshot-2026-09-10

Published board

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

0.8404 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: GPQA Diamond (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.84040404040404 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6:gpqa

Tool-use

Tool-use: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
τ²-Bench Telecom (AA)

Version snapshot-2026-09-10

Published board

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

0.84795 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: τ²-Bench Telecom (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.847953216374269 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6:tau2

Vision

Vision: every observation for this exact model configuration
Benchmark / versionEvaluation groupScore / provenance
MMMU Pro (AA)

Version snapshot-2026-09-10

Published board

Tests multimodal understanding using challenging ten-option questions.

0.72543 fractionmeasuredobserved 2026-09-10artificialanalysis.ai
Evidence
Axis: MMMU Pro (AA) · snapshot-2026-09-10 · Published board
Exact value: 0.725433526011561 fraction
Observed: 2026-09-10T21:47:16.627Z · publication date: not recorded
Observation id: aa:4386585e-71b4-4a0c-8a63-afb333419cd6:mmmuPro
Missing coverage · 67 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 4.6 (Adaptive Reasoning, Max Effort)31.9
Claude Opus 4.6 (Non-reasoning, High Effort)26.4

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.

11 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 AIeurope-west1EU$5.50 raw in $/1M$27.50 raw out $/1M

Anthropic (1)

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

OpenRouter (6)

Claude Platform on AWSglobalclaude-on-aws$5.00 raw in $/1M$25.00 raw out $/1M
Azureglobalazure/global$5.00 raw in $/1M$25.00 raw out $/1M
Googleglobalgoogle-vertex/global$5.00 raw in $/1M$25.00 raw out $/1M
Amazon Bedrockglobalamazon-bedrock$5.00 raw in $/1M$25.00 raw out $/1M
Anthropicglobalanthropic$5.00 raw in $/1M$25.00 raw out $/1M
Googleeugoogle-vertex/europeEU$5.50 raw in $/1M$27.50 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