Claude Opus 4.7 (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 | OpenRouter | $5.50 | $27.50 | ||
| 2 | Amazon Bedrock | 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 · 2 from the model family6 radar axes: DesignArena's two boards share one82.2
dominance-adjusted from 84.1: a better-measured model that is at least as good on each of these inputs ranks above it
AA Coding 73.6Coding Agent v1.4 51.6AA Intelligence 40.7AA Agentic —Epoch ECI 156.3Software ECI 158.1DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
39 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
- Epoch ECI · attached
- Software ECI · attached
Agentic
AA-AnalystAgent6843.8%
AA-AnalystAgent published 2026-09-10 ↗ · Published board — Tests analyst tasks using agentic Python execution across fourteen domains.
AA-Briefcase691,252 Elo
AA-Briefcase published 2026-09-10 ↗ · Published board — Tests multi-week professional knowledge-work projects with linked tasks and large source collections.
GDPval-AA v2771,396 Elo
GDPval-AA v2 v2 ↗ · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
ITBench-AA9146.7%
ITBench-AA published 2026-09-10 ↗ · Published board — Tests root-cause diagnosis from offline Kubernetes incident snapshots.
Terminal-Bench Hard (AA)9551.5%
Terminal-Bench Hard (AA) pinned revision 74221fb ↗ · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
Terminal-Bench v2.1 (AA)8583.1%
Terminal-Bench v2.1 (AA) v2.1 ↗ · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.
ApprenticeBench CUA (NeoCognition)157.0%
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.
ApprenticeBench API (NeoCognition)814.0%
ApprenticeBench API (NeoCognition) published 2026-09-14 ↗ · Claude Code — An agent completes the same 100 sequential accounts-payable tasks in the Odoo ERP with diminishing mentoring, using dedicated application API calls instead of the screen interface.
HLAB — Harvey's Legal Agent Benchmark (Vals Index v2)536.7%
HLAB — Harvey's Legal Agent Benchmark (Vals Index v2) v2 ↗ · Published board — Long-horizon legal work product creation. Vals AI's run of Harvey's Legal Agent Benchmark, reported as accuracy — not comparable with Artificial Analysis' Harvey LAB-AA row.
EBR-bench (Earthborne Rangers, Epoch AI)3819.0%
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
Artificial Analysis Coding Agent Index v1.43251.6%
Artificial Analysis Coding Agent Index v1.4 v1.4 ↗ · Claude Code — The retained AA Coding Agent Index measures coding-agent systems using the earlier three-component implementation.
SWE-bench Multilingualno percentile80.5%
SWE-bench Multilingual published 2026-09-10 ↗ · Published board — A 300-instance SWE-bench variant with tasks from 42 repositories across 9 programming languages.
SWE-bench Multimodalno percentile34.5%
SWE-bench Multimodal published 2026-09-10 ↗ · Published board — A 480-instance SWE-bench variant whose issue descriptions include visual elements.
SWE-bench Verifiedno percentile87.6%
SWE-bench Verified published 2026-09-10 ↗ · Published board — A 500-instance human-filtered subset of SWE-bench created with OpenAI, served as the default Verified leaderboard view.
Vibe Code Bench (Vals Index v2)4871.0%
Vibe Code Bench (Vals Index v2) v2 ↗ · Published board — End-to-end app-building tasks.
Code Migration (Vals Index v2 subset)6343.9%
Code Migration (Vals Index v2 subset) v2 ↗ · Published board — Porting projects to another language, including COBOL modernization.
FrontierCode 1.1 Main (Cognition) v1.1no percentile38.5%
FrontierCode 1.1 Main (Cognition) v1.1 ↗ · claude-code — Whether a maintainer would merge the agent's pull request, on tasks crafted by open-source maintainers and graded with tests, rubrics and verifiers.
SWE-bench Verified (Epoch AI run)10083.5%
SWE-bench Verified (Epoch AI run) published 2026-09-18 ↗ · Published board — Epoch AI's own inspect-ai runs of SWE-bench Verified, the human-validated GitHub issue-resolution set.
AA Coding Index8773.6
AA Coding Index published 2026-09-19 ↗ · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.
Efficiency
ApprenticeBench CUA cost per task (NeoCognition)23$26.04
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.
ApprenticeBench API cost per task (NeoCognition)31$2.42
ApprenticeBench API cost per task (NeoCognition) published 2026-09-14 ↗ · Claude Code — ApprenticeBench's published USD cost per task for each API-board model-harness-effort configuration on the 100-task accounts-payable job.
FrontierCode 1.1 Main cost per rollout (Cognition) v1.1no percentile$9.09
FrontierCode 1.1 Main cost per rollout (Cognition) v1.1 ↗ · claude-code — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Main model and reasoning effort.
Instruction-following
IFBench (AA single-turn)7158.6%
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)9342.3%
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 Index9527.3
AA-Omniscience Index published 2026-09-10 ↗ · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Legal Research Bench (Vals Index v2)4838.5%
Legal Research Bench (Vals Index v2) v2 ↗ · Published board — Case and statute research with citation-backed answers.
Long-context
AA-LCR v1.18578.7%
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)6470.2%
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)4531.7%
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)177.0%
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)4528.0%
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 Index9540.7
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.
Safety/Alignment
BullshitBench V1 (clear pushback)8660.0%
BullshitBench V1 (clear pushback) published 2026-09-10 ↗ · Published board — Whether a model rejects the broken premise of 55 deliberately nonsensical prompts (V1 question set) instead of answering them confidently.
BullshitBench V2 (clear pushback)9174.0%
BullshitBench V2 (clear pushback) published 2026-09-10 ↗ · Published board — Whether a model rejects the broken premise of 100 deliberately nonsensical prompts (V2 question set) instead of answering them confidently.
Science
CritPt (AA)8812.0%
CritPt (AA) published 2026-09-10 ↗ · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)9291.4%
GPQA Diamond (AA) published 2026-09-10 ↗ · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
GPQA Diamond (Epoch AI run)4486.4%
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)8388.6%
τ²-Bench Telecom (AA) published 2026-09-10 ↗ · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.
τ³-Banking (AA) v1.0.17634.6%
τ³-Banking (AA) v1.0.1 ↗ · Published board — Tests banking support agents that retrieve policies and change account state through tools.
Excel Modeling Benchmark (Vals Index v2)5363.7%
Excel Modeling Benchmark (Vals Index v2) v2 ↗ · Published board — Building and editing financial models in spreadsheets.
Vision
MMMU Pro (AA)8278.8%
MMMU Pro (AA) published 2026-09-10 ↗ · Published board — Tests multimodal understanding using challenging ten-option questions.
Missing coverage · 104 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 4.7 (Adaptive Reasoning, Max Effort) | 73.6 | 40.7 |
| Claude Opus 4.7 (Non-reasoning, High Effort) | — | 30.9 |
| Claude Opus 4.7 (Adaptive Reasoning, Medium Effort) | — | — |
SUBSCRIPTION PLAN
GitHub Copilot
Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.
Legacy annual Pro/Pro+ request billing only.
Legacy annual-plan multiplier.
Token offers by platform · 9 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
9 offers within the active global filters; “—” means the catalog is active but no public token price is available.
OpenRouter (6)
| globalgoogle-vertex/us | $5.50 raw in $/1M | $27.50 raw out $/1M | ||
| eugoogle-vertex/europeEU | $5.50 raw in $/1M | $27.50 raw out $/1M | ||
| Amazon Bedrock | globalamazon-bedrock/global | $5.00 raw in $/1M | $25.00 raw out $/1M | |
| Azure | globalazure/global | $5.00 raw in $/1M | $25.00 raw out $/1M | |
| globalgoogle-vertex/global | $5.00 raw in $/1M | $25.00 raw out $/1M | ||
| Amazon Bedrock | euamazon-bedrock/eu-west-1EU | $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 | euEU | $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 |