Anthropic

Claude Fable 5.2

Made by Anthropic. Released 2026-11-09. Accessibility not recorded. Cheapest standard rate we hold: $40 per million output tokens, no context split.

What it costs

TierKindInOutCached inFrom
batchtext$4$20—seller
fasttext$16$80—seller
standardtext$8$40$0.20seller

per million tokens, US dollars. * marks a rate from a single registry or two that disagree — the best available number rather than a confirmed one. Every other row is confirmed against a seller or a licensed index.

What it scores, by house

BenchmarkHouseScoreEvaluatedScaffold
chess puzzlesEpoch AI0.8±0.042026-11-06max
ebr benchEpoch AI0.9±0.022026-11-06max
frontiermath tier 4 v2Epoch AI1.0±0.002026-11-06max
frontiermath tiers 1 3 v2Epoch AI1.0±0.012026-11-06max
furniture assemblyEpoch AI0.9±0.042026-11-06max
gpqa diamondEpoch AI0.9±0.022026-11-06max
mystery game puzzlesEpoch AI0.9±0.032026-11-06max
otis mock aime 2024 2025near its ceilingEpoch AI1.0±0.002026-11-06max
simpleqa verifiedEpoch AI0.9±0.012026-11-06max
spireclimbEpoch AI0.2±0.032026-11-06max
spireclimb sts1 a20 heartEpoch AI0.2±0.052026-11-06max
spireclimb sts2 a10Epoch AI0.2±0.042026-11-06max
ale benchcollected by Epoch AI2510—high
apex agentscollected by Epoch AI0.9—unknown
arc aginear its ceilingcollected by Epoch AI1.0—xhigh
arc aginear its ceilingcollected by Epoch AI0.9—low
arc aginear its ceilingcollected by Epoch AI1.0—high
arc aginear its ceilingcollected by Epoch AI1.0—medium
arc aginear its ceilingcollected by Epoch AI1.0—max
arc agi 2collected by Epoch AI0.9—low
arc agi 2collected by Epoch AI0.9—xhigh
arc agi 2collected by Epoch AI0.9—max
arc agi 2collected by Epoch AI0.9—high
arc agi 2collected by Epoch AI0.9—medium
critptcollected by Epoch AI0.4—xhigh
critptcollected by Epoch AI0.4—max
critptcollected by Epoch AI0.3—high
critptcollected by Epoch AI0.3—medium
critptcollected by Epoch AI0.3—low
cursorbenchcollected by Epoch AI0.5—medium
cursorbenchcollected by Epoch AI0.5—low
cursorbenchcollected by Epoch AI0.6—xhigh
cursorbenchcollected by Epoch AI0.6—high
cursorbenchcollected by Epoch AI0.6—max
dtbenchnear its ceilingcollected by Epoch AI1.0—unknown
dtbenchnear its ceilingcollected by Epoch AI1.0—xhigh
dtbenchnear its ceilingcollected by Epoch AI1.0—low
dtbenchnear its ceilingcollected by Epoch AI1.0—medium
dtbenchnear its ceilingcollected by Epoch AI1.0—high
frontierswecollected by Epoch AI0.7—proximus
lmcacollected by Epoch AI70.6—xhigh
lmcacollected by Epoch AI69.6—low
lmcacollected by Epoch AI70.0—medium
lmcacollected by Epoch AI69.9—high
lmcacollected by Epoch AI70.1—unknown
proofbenchcollected by Epoch AI1.0—max
rlicollected by Epoch AI0.4—unknown
scicodecollected by Epoch AI0.6—low
scicodecollected by Epoch AI0.6—high
scicodecollected by Epoch AI0.6—medium
scicodecollected by Epoch AI0.7—xhigh
scicodecollected by Epoch AI0.7—max
simplebenchcollected by Epoch AI0.9—unknown

These scores are not comparable between houses and are not added up. A score is dated by when it was evaluated, not when the model was released, and a score without its scaffold is not a measurement — which is why both are printed.

What retires, and when

  • deprecation — 2027-11-09 (Active)

Headlines that name it

Matched by the model's name appearing in our headline, literally. There is no link from a story to a model in our data, so this is a search result rather than a claim that the story is about it.

Every rate we hold · Why there is no single best model · Everything from Anthropic