Claude Opus 4.6 (Adaptive Reasoning, Max Effort)
Context 1M tokens
Top 5 cheapest providers (Adjusted $/task)
The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.
Within the active global provider, residency and confidentiality filters.
| # | Provider | Platform | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Amazon Bedrock | OpenRouter | $5.00 | $25.00 | |
| 2 | OpenRouter | $5.00 | $25.00 | ||
| 3 | Google Vertex AI | Google Vertex AI | $5.00 | $25.00 | |
| 4 | Azure | OpenRouter | $5.00 | $25.00 | |
| 5 | AWS Bedrock | AWS Bedrock | $5.50 | $27.50 |
Composite
5 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one78.6
AA Coding —Coding Agent v1.4 —AA Intelligence 31.9AA Agentic —Epoch ECI 155.3Software ECI 156.4DesignArena 1219/1228
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
23 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
- Epoch ECI · attached
- Software ECI · attached
- DesignArena Web Apps (agentic) · attached
- DesignArena Full-Stack · attached
Agentic
APEX-Agents-AA7633.0%
APEX-Agents-AA published 2026-09-10 ↗ · Published board — Tests professional-service tasks that require agents to produce locally graded deliverables.
Terminal-Bench Hard (AA)9346.2%
Terminal-Bench Hard (AA) pinned revision 74221fb ↗ · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
ApprenticeBench CUA (NeoCognition)85.0%
ApprenticeBench CUA (NeoCognition) published 2026-09-14 ↗ · Claude Code — A computer-use agent operates the Odoo ERP through its screens across 100 sequential accounts-payable tasks with diminishing mentoring.
τ²-Bench Airline (OpenRouter run)8075.7%
τ²-Bench Airline (OpenRouter run) published 2026-09-15 ↗ · Published board — Multi-turn service agents making tool calls under strict policy constraints. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
EBR-bench (Earthborne Rangers, Epoch AI)2312.7%
EBR-bench (Earthborne Rangers, Epoch AI) published 2026-09-18 ↗ · Published board — Learning-capability test: models repeatedly play the obscure campaign board game Earthborne Rangers with note-taking, and the score measures whether results improve across playthroughs.
Coding
DesignArena Web Apps (agentic)581,219 Elo
DesignArena Web Apps (agentic) published 2026-09-19 ↗ · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.
DesignArena Full-Stack671,228 Elo
DesignArena Full-Stack published 2026-09-19 ↗ · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.
Efficiency
ApprenticeBench CUA cost per task (NeoCognition)38$23.68
ApprenticeBench CUA cost per task (NeoCognition) published 2026-09-14 ↗ · Claude Code — ApprenticeBench's published USD cost per task for each CUA model-harness-effort configuration on the 100-task accounts-payable job.
GPQA Diamond (OpenRouter run) — measured cost per task1$0.75
GPQA Diamond (OpenRouter run) — measured cost per task published 2026-09-15 ↗ · Published board — Mean USD OpenRouter actually spent per task while running GPQA Diamond for this configuration.
τ²-Bench Airline (OpenRouter run) — measured cost per task8$0.48
τ²-Bench Airline (OpenRouter run) — measured cost per task published 2026-09-15 ↗ · Published board — Mean USD OpenRouter actually spent per task while running τ²-Bench Airline for this configuration.
Instruction-following
IFBench (AA single-turn)6353.1%
IFBench (AA single-turn) published 2026-09-10 ↗ · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)9139.9%
Humanity's Last Exam (AA text-only) published 2026-09-10 ↗ · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index8913.7
AA-Omniscience Index published 2026-09-10 ↗ · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
SimpleQA Verified (run by Epoch AI)4247.0%
SimpleQA Verified (run by Epoch AI) published 2026-09-16 ↗ · Published board — Short fact-seeking questions answered without tools, testing whether a model knows a fact rather than guessing; Google DeepMind's cleaned version of OpenAI's SimpleQA, run by Epoch AI.
Long-context
AA-LCR v1.18378.0%
AA-LCR v1.1 v1.1 ↗ · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Math
FrontierMath Tiers 1–3 v2 (Epoch AI)5366.0%
FrontierMath Tiers 1–3 v2 (Epoch AI) v2 ↗ · Published board — Unpublished, expert-written mathematics problems from undergraduate to research level with automatically checkable answers, run by Epoch AI on its private v2 set.
FrontierMath Tier 4 v2 (Epoch AI)2726.8%
FrontierMath Tier 4 v2 (Epoch AI) v2 ↗ · Published board — The hardest, research-level tier of Epoch AI's unpublished FrontierMath problems, run by Epoch AI on its private v2 set.
Reasoning
Chess Puzzles (Epoch AI)2714.0%
Chess Puzzles (Epoch AI) published 2026-09-18 ↗ · Published board — Best-move selection on 100 novel chess positions generated programmatically by Epoch AI, each with a single Stockfish-verified best move; probes spatial reasoning and planning.
Mystery Game Puzzles (Epoch AI)3525.0%
Mystery Game Puzzles (Epoch AI) published 2026-09-18 ↗ · Published board — Best-move selection on 100 mid-game positions of a well-known game whose identity Epoch deliberately keeps undisclosed, generated programmatically like Chess Puzzles.
AA Intelligence Index8931.9
AA Intelligence Index published 2026-09-19 ↗ · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.
Science
CritPt (AA)8812.6%
CritPt (AA) published 2026-09-10 ↗ · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)8889.6%
GPQA Diamond (AA) published 2026-09-10 ↗ · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
GPQA Diamond (OpenRouter run)7285.3%
GPQA Diamond (OpenRouter run) published 2026-09-15 ↗ · Published board — Graduate-level science questions that resist retrieval and reward careful reasoning. (OpenRouter's own reproducible run, as published on openrouter.ai/benchmarks.)
GPQA Diamond (Epoch AI run)5488.4%
GPQA Diamond (Epoch AI run) published 2026-09-18 ↗ · Published board — Epoch AI's own inspect-ai runs of GPQA Diamond, the 198-question graduate-level science multiple-choice set.
Tool-use
τ²-Bench Telecom (AA)8792.1%
τ²-Bench Telecom (AA) published 2026-09-10 ↗ · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.
Vision
MMMU Pro (AA)7275.4%
MMMU Pro (AA) published 2026-09-10 ↗ · Published board — Tests multimodal understanding using challenging ten-option questions.
Unusual results
2 threshold-crossing signals flagged · 23 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.
- unusually weak GPQA Diamond (OpenRouter run) — measured cost per task published 2026-09-15
Why
Observed: 0.74594 USDPeer mean 0.07408 · peer sd 0.13073 · n 124 · families 124Directed z -5.139 · baseline z 0.552 · gap -5.692 · profile n 220.74594 USDmeasured· 1188 tasksobserved 2026-09-15openrouter.ai ↗Evidence
Axis: GPQA Diamond (OpenRouter run) — measured cost per task · published 2026-09-15 · Published boardExact value:0.7459393897306398USDTasks evaluated: 1188Observed: 2026-09-15T23:29:03.209Z · publication date: not recordedObservation id:openrouter-cost:anthropic/claude-4.6-opus-20260205|gpqa_diamondSource: https://openrouter.ai/benchmarks - unusually strong Humanity's Last Exam (AA text-only) published 2026-09-10
Why
Observed: 0.39944 fractionPeer mean 0.15283 · peer sd 0.14006 · n 608 · families 449Directed z 1.761 · baseline z 0.239 · gap 1.522 · profile n 220.39944 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: Humanity's Last Exam (AA text-only) · published 2026-09-10 · Published boardExact value:0.399443929564411fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:53c98840-47af-49aa-94e6-469fb17e9a1b:hle
Missing coverage · 119 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
Artificial Analysis snapshot 2026-09-19 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| Claude Opus 4.6 (Adaptive Reasoning, Max Effort) | — | 31.9 |
| Claude Opus 4.6 (Non-reasoning, High Effort) | — | 26.4 |
Token offers by platform · 8 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
8 offers within the active global filters; “—” means the catalog is active but no public token price is available.
OpenRouter (4)
| Amazon Bedrock | globalamazon-bedrock | $5.00 raw in $/1M | $25.00 raw out $/1M | |
| globalgoogle-vertex/global | $5.00 raw in $/1M | $25.00 raw out $/1M | ||
| Azure | globalazure/global | $5.00 raw in $/1M | $25.00 raw out $/1M | |
| eugoogle-vertex/europeEU | $5.50 raw in $/1M | $27.50 raw out $/1M |
Google Vertex AI (2)
| Google Vertex AI | global | $5.00 raw in $/1M | $25.00 raw out $/1M | |
| Google Vertex AI | europe-west1EU | $5.50 raw in $/1M | $27.50 raw out $/1M |
AWS Bedrock (1)
| AWS Bedrock | eu-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 Hub | euEU | $5.67 raw in $/1M | $28.36 raw out $/1M |