Fable 5 (high) (with fallback)
Top 4 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 | Price channel | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Azurevia OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/anthropic/claude-fable-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Azure's endpoint (https://openrouter.ai/anthropic/claude-fable-5/providers), collected 2026-11-03. | $10.00 | $50.00 | |
| 2 | Amazon Bedrockvia OpenRouter — Price via OpenRouter: OpenRouter's price for Amazon Bedrock's endpoint (https://openrouter.ai/anthropic/claude-fable-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Amazon Bedrock's endpoint (https://openrouter.ai/anthropic/claude-fable-5/providers), collected 2026-11-03. | $10.00 | $50.00 | |
| 3 | Googlevia OpenRouter — Price via OpenRouter: OpenRouter's price for Google's endpoint (https://openrouter.ai/anthropic/claude-fable-5/providers), collected 2026-11-03. | via OpenRouter — Price via OpenRouter: OpenRouter's price for Google's endpoint (https://openrouter.ai/anthropic/claude-fable-5/providers), collected 2026-11-03. | $10.00 | $50.00 | |
| 4 | Google Vertex AIdirect — Direct price: Google Vertex AI's own price list (https://cloud.google.com/vertex-ai/generative-ai/pricing), collected 2026-11-03. | direct — Direct price: Google Vertex AI's own price list (https://cloud.google.com/vertex-ai/generative-ai/pricing), collected 2026-11-03. | $10.00 | $50.00 |
Composite
5 of 7 inputs · 4 from the model family6 radar axes: DesignArena's two boards share one79.9
AA Coding v4.x —Coding Agent v1.4 65.1AA Intelligence —AA Agentic 51.0Epoch ECI 163.0Software ECI 164.4DesignArena 1247/1280
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
19 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
4 of 22 values are Anthropic's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.
- Epoch ECI · attached
- Software ECI · attached
- DesignArena Web Apps (agentic) · attached
- DesignArena Full-Stack · attached
Agentic
ApprenticeBench CUA (NeoCognition)6935.0%
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)9980.2%
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.)
LMArena Agent Arena (overall net improvement)798.3%
LMArena Agent Arena (overall net improvement) published 2026-09-26 → · Published board — Ranking of models as the orchestrator in LMArena’s Agent Mode, scored by the causal net improvement over the average model across behavioural signals from real sessions.
AA Agentic Index9351.0
AA Agentic Index published 2026-09-18 → · Published board — Artificial Analysis publishes one Agentic Index per model, measured on its primary configuration and relayed by OpenRouter's Benchmarks API; the value is attached at family scope on the deterministic representative. Artificial Analysis publishes this board without a version number; we keep the date each result was retained.
Coding
Artificial Analysis Coding Agent Index v1.47665.1%
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.
DeepSWE (Datacurve, via Epoch AI)7368.6%
DeepSWE (Datacurve, via Epoch AI) published 2026-09-15 → · mini-SWE-agent — Pass rate of coding agents on original, long-horizon software engineering tasks, run by Datacurve with the mini-swe-agent harness.
FrontierCode 1.1 Main (Cognition)developer's claim52.7%† self-reported by the developer
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.
MirrorCode (Epoch AI, with METR)7563.9%
MirrorCode (Epoch AI, with METR) published 2026-09-18 → · Published board — Long-horizon coding: models reimplement entire programs end-to-end without access to the original source, matching its output exactly on end-to-end tests including held-out tests.
SWE-rebench, issues 15 May – 1 Jul 2026 (Nebius) 2026-05-15..2026-07-0110064.5%
SWE-rebench, issues 15 May – 1 Jul 2026 (Nebius) 2026-05-15..2026-07-01 → · SWE-rebench fixed ReAct scaffold, tool mode — A model resolves 111 fresh GitHub issues from 65 repositories, created between 15 May and 1 July 2026, inside one fixed minimal agent scaffold, run five times.
FrontierCode 1.1 Extended (Cognition)developer's claim64.3%† self-reported by the developer
FrontierCode 1.1 Extended (Cognition) v1.1 → · Claude Code — Whether a maintainer would merge the agent's pull request, on the full 150-task FrontierCode set crafted by open-source maintainers and graded with tests, rubrics and verifiers.
LMArena WebDev (Code Arena, overall)501,627 Elo
LMArena WebDev (Code Arena, overall) published 2026-09-26 → · Published board — Community pairwise-vote ranking of models on front-end web development tasks, including agentic multi-step coding, published by LMArena as a Bradley-Terry rating.
DesignArena Web Apps (agentic)751,247 Elo
DesignArena Web Apps (agentic) published 2026-11-03 → · Published board — Published Elo. Exact source attachment is retained; fewer than 200 battles excludes a row from radar normalization and anomaly peers.
DesignArena Full-Stack851,280 Elo
DesignArena Full-Stack published 2026-11-03 → · 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)15$28.36
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.
FrontierCode 1.1 Main cost per rollout (Cognition)developer's claim$9.48† self-reported by the developer
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.
GPQA Diamond (OpenRouter run) — measured cost per task11$0.17
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 task2$0.96
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.
FrontierCode 1.1 Extended cost per rollout (Cognition)developer's claim$7.71† self-reported by the developer
FrontierCode 1.1 Extended cost per rollout (Cognition) v1.1 → · Claude Code — Cognition's published mean USD spend per rollout for each FrontierCode 1.1 Extended model and reasoning effort.
Reasoning
Chess Puzzles (Epoch AI)8041.0%
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.
Science
GPQA Diamond (Epoch AI run)3583.3%
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.
GPQA Diamond (OpenRouter run)6583.8%
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.)
Vision
Chartography 100-tasks5329.5%
Chartography 100-tasks → · Published board — Can a model read the charts professionals rely on — Kaplan-Meier curves, candlesticks, contour maps, Sankey diagrams, Bode plots, wind roses — from the image alone, to an expert-set precision?
Unusual results
1 threshold-crossing signal flagged · 13 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 τ²-Bench Airline (OpenRouter run) — measured cost per task published 2026-09-15
Why
Observed: 0.96496 USDPeer mean 0.14611 · peer sd 0.24997 · n 117 · families 117Directed z -3.276 · baseline z 0.648 · gap -3.924 · profile n 120.96496 USDmeasured· 300 tasks· 0.96 USD per task (measured by OpenRouter)observed 2026-09-15openrouter.ai ↗Evidence
Axis: τ²-Bench Airline (OpenRouter run) — measured cost per task · published 2026-09-15 · Published boardExact value:0.9649561966666667USDTasks evaluated: 300Published mean cost: 0.9649561966666667 USD per task (measured by OpenRouter) — measured by OpenRouter on τ²-Bench Airline (OpenRouter run) — measured cost per taskObserved: 2026-09-15T23:29:03.209Z · publication date: not recordedObservation id:openrouter-cost:anthropic/claude-5-fable-20260609|tau_bench_verified_airlineSource: https://openrouter.ai/benchmarks
Missing coverage · 300 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 2026-11-03 · Intelligence Index v5.0 (est. = estimated from v4, not measured) · Coding Index v4.x frozen 2026-10-27 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| Claude Fable 5 (Max, Opus 4.8 Fallback) | 76.5 | 46.0est. |
| Fable 5 (low) (with fallback) | — | — |
| Fable 5 (xhigh) (with fallback) | — | — |
| Fable 5 (medium) (with fallback) | — | — |
| Fable 5 (high) (with fallback) | — | — |
SUBSCRIPTION PLAN
GitHub Copilot
Current usage-based billing · model token cost is converted to AI Credits at 1 credit = $0.01.
Token offers by platform · 6 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
6 offers within the active global filters, 3 more outside them; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.
OpenRouter (4)
Prices via OpenRouter — what OpenRouter charges for each provider's endpoint, not the provider's own direct price. Source: openrouter.ai/anthropic/claude-fable-5/providers, collected 2026-11-03.
| Azure | globalazure | $10.00 raw in $/1M | $50.00 raw out $/1M | |
| Amazon Bedrock | globalamazon-bedrock | $10.00 raw in $/1M | $50.00 raw out $/1M | |
| globalgoogle-vertex/global | $10.00 raw in $/1M | $50.00 raw out $/1M | ||
| eugoogle-vertex/europeEU | $11.00 raw in $/1M | $55.00 raw out $/1M |
Google Vertex AI (2)
Direct prices from Google Vertex AI's own price list. Source: cloud.google.com/vertex-ai/generative-ai/pricing, collected 2026-11-03.
| Google Vertex AI | global | $10.00 raw in $/1M | $50.00 raw out $/1M | |
| Google Vertex AI | euEU | $11.00 raw in $/1M | $55.00 raw out $/1M |