Claude 3 Haiku
Context 200K tokens
Providers
No provider publishes an API price for this model yet, so no cost can be modeled.
Composite
2 of 7 inputs · 1 from the model family6 radar axes: DesignArena's two boards share one1.5
Thin data · 2/7Based on only 2 of 7 Composite inputs — treat this rank as uncertainAA Coding v4.x —Coding Agent v1.4 —AA Intelligence (est.) 2.2AA Agentic —Epoch ECI 118.8Software ECI —DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
16 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
1 of 16 values are Anthropic's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.
- Epoch ECI · attached
Agentic
Terminal-Bench Hard (AA)130.8%
Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
Instruction-following
IFBench (AA single-turn)2836.1%
IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.
LisanBench word chains, v0.2.0 (Lisan al Gaib)29135.7
LisanBench word chains, v0.2.0 (Lisan al Gaib) v0.2.0 → · Published board — A model builds the longest chain of English words it can, each differing from the last by one letter, with no repeats and only dictionary words, from 50 starting words; any broken rule ends the chain.
Knowledge
Humanity's Last Exam (AA text-only)144.1%
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 Index34-48.6
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.12927.7%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Other
LLM Divergent Thinking Creativity Benchmark143.98
LLM Divergent Thinking Creativity Benchmark published 2026-09-10 → · Published board — Models generate 25 words maximally distinct from each other and from 50 seed words under starting-letter constraints, scored by LLM-judged word divergence.
Safety/Alignment
BullshitBench V1 (clear pushback)3618.2%
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)1010.0%
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)240.0%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)1337.4%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
Tool-use
τ²-Bench Telecom (AA)2121.1%
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)330.8%
MMMU Pro (AA) published 2026-09-10 → · Published board — Tests multimodal understanding using challenging ten-option questions.
MMMUdeveloper's claim50.2%† self-reported by the developer
MMMU published 2026-09-10 → · validation — A multimodal benchmark of 11.5K college-level questions across six disciplines and 30 subjects, with 30 heterogeneous image types.
CharXiv Reasoning val-v1.02931.8%
CharXiv Reasoning val-v1.0 → · validation — Can a multimodal model reason over the real, messy charts in scientific papers — combining values, trends and labels across a figure — rather than read off templated plots?
Writing
EQ-Bench Creative Writing v312716 Elo
EQ-Bench Creative Writing v3 v3 → · Published board — A LLM-judged creative writing benchmark with vocabulary and GPT-slop controls.
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 MMMU Pro (AA) published 2026-09-10
Why
Observed: 0.30809 fractionPeer mean 0.66323 · peer sd 0.1457 · n 276 · families 163Directed z -2.438 · baseline z -0.875 · gap -1.563 · profile n 120.30809 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: MMMU Pro (AA) · published 2026-09-10 · Published boardExact value:0.308092485549133fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:1fc54cef-d179-48b1-a27d-046874e9b208:mmmuPro
Missing coverage · 303 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.