Claude 4.5 Haiku (Non-reasoning)
Output 97 tokens/sFirst token 0.5 sContext 200K 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 | $1.10 | $5.50 | ||
| 2 | Amazon Bedrock | OpenRouter | $1.10 | $5.50 | |
| 3 | Google Vertex AI | Google Vertex AI | $1.00 | $5.00 | |
| 4 | Azure | OpenRouter | $1.00 | $5.00 | |
| 5 | AWS Bedrock | AWS Bedrock | $1.10 | $5.50 |
Composite
3 of 7 inputs · 2 from the model family6 radar axes: DesignArena's two boards share one35.4
dominance-adjusted from 37.3: a better-measured model that is at least as good on each of these inputs ranks above it
AA Coding —Coding Agent v1.4 —AA Intelligence 15.4AA Agentic —Epoch ECI 142.4Software ECI 145.0DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
13 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
- Epoch ECI · attached
- Software ECI · attached
Agentic
Terminal-Bench Hard (AA)6927.3%
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)4442.0%
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)184.2%
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 Index75-7.57
AA-Omniscience Index published 2026-09-10 ↗ · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.14749.7%
AA-LCR v1.1 v1.1 ↗ · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
MLCR-AA184.4%
MLCR-AA published 2026-09-10 ↗ · Published board — Tests medical-record synthesis and reasoning across long, fragmented case documents.
Math
AIME 2025 (AA) v20254039.0%
AIME 2025 (AA) v2025 ↗ · Published board — Advanced mathematical problem solving on AIME I and II 2025.
Reasoning
AA Intelligence Index6215.4
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)9981.8%
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)8871.0%
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)4064.6%
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)4032.5%
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)2255.1%
MMMU Pro (AA) published 2026-09-10 ↗ · Published board — Tests multimodal understanding using challenging ten-option questions.
Unusual results
1 threshold-crossing signal flagged · 14 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 strong BullshitBench V1 (clear pushback) published 2026-09-10
Why
Observed: 0.8182 fractionPeer mean 0.3191 · peer sd 0.21942 · n 69 · families 57Directed z 2.275 · baseline z -0.124 · gap 2.399 · profile n 130.8182 fractionmeasuredobserved 2026-09-15raw.githubusercontent.com ↗Evidence
Axis: BullshitBench V1 (clear pushback) · published 2026-09-10 · Published boardExact value:0.8182fractionObserved: 2026-09-15T01:07:18.318850+00:00 · publication date: not recordedObservation id:public:b8c2f375b9859d9649f5cd58
Missing coverage · 131 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 4.5 Haiku (Reasoning) | 43.9 | 17.6 |
| Claude 4.5 Haiku (Non-reasoning) | — | 15.4 |
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 · 11 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
11 offers within the active global filters; “—” means the catalog is active but no public token price is available.
OpenRouter (7)
| globalgoogle-vertex/us-east5 | $1.10 raw in $/1M | $5.50 raw out $/1M | ||
| Amazon Bedrock | euamazon-bedrock/eu-west-1EU | $1.10 raw in $/1M | $5.50 raw out $/1M | |
| eugoogle-vertex/europeEU | $1.10 raw in $/1M | $5.50 raw out $/1M | ||
| Amazon Bedrock | globalamazon-bedrock/global | $1.00 raw in $/1M | $5.00 raw out $/1M | |
| globalgoogle-vertex/global | $1.00 raw in $/1M | $5.00 raw out $/1M | ||
| Azure | globalazure/global | $1.00 raw in $/1M | $5.00 raw out $/1M | |
| Amazon Bedrock | globalamazon-bedrock/us | $1.10 raw in $/1M | $5.50 raw out $/1M |
Google Vertex AI (2)
| Google Vertex AI | global | $1.00 raw in $/1M | $5.00 raw out $/1M | |
| Google Vertex AI | europe-west1EU | $1.10 raw in $/1M | $5.50 raw out $/1M |
AWS Bedrock (1)
| AWS Bedrock | eu-central-1 (EU cross-region inference profile)EU | $1.10 raw in $/1M | $5.50 raw out $/1M |
T-Systems LLM Hub (1)
| T-Systems LLM Hub | euEU | $1.13 raw in $/1M | $5.67 raw out $/1M |