Anthropic slashes Claude Haiku 5.5 token pricing 90%, matching GPT-6 Luna

Anthropic lanza Claude Haiku 5.5 a $0,10/M de entrada por debajo de 100K tokens, una reducción del 90%, y se alinea con GPT-6 Luna de OpenAI. Implicaciones para el gasto empresarial en inferencia y el enrutamiento de modelos.

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TL;DR — tres frases

  • Anthropic released Claude Haiku 5.5 with a 90% token-price cut for requests below 100,000 tokens, pricing input at $0.10 per million tokens and output at $0.50 per million tokens. [S1]
  • Above 100,000 tokens, Haiku 5.5 input rises to $0.50 and output to $2.50 per million tokens, a 50% reduction from Haiku 4.5 rather than the headline 90%. [S1]
  • The lower-tier rates match OpenAI's GPT-6 Luna across input, output, and cache read/write lines, removing previous price leverage on those workloads. [S1]

Tomado de key_takeaways (campo real, máx. 3 entradas). Los hechos y el análisis se etiquetan por separado.

Anthropic slashes Claude Haiku 5.5 token pricing 90%, matching GPT-6 LunaEditorial cover for a component sourcing brief. Chip motif; headline "Anthropic slashes Claude Haiku 5.5 token pricing 90%, matching GPT-6 Luna". No reported key numbers on this brief, so no number strip is drawn. 1 cited source. Static cover (no animation).Anthropic slashes Claude Haiku 5.5 tokenpricing 90%, matching GPT-6 LunaXAIPART
Cover image generated from data already shown on this page: the category motif, the headline, and reported key numbers. No decorative illustration; no third-party image.

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Previsión de XAIPART

Este breve incluye una previsión refutable.

Piezas afectadas

No hay coincidencia en el catálogo para esta historia — no se muestra nada en lugar de inferir una coincidencia.

Reported by VentureBeat on . Summarized and analyzed by XAIPART Editorial.

What happened

Anthropic released Claude Haiku 5.5 with a steep token-price cut aimed at high-volume enterprise workloads such as summarization, classification, database queries, and sub-tasks handled by larger agent systems.S1 The headline figure is a 90% reduction on requests under 100,000 tokens, with input priced at $0.10 per million tokens and output at $0.50 per million tokens, identical to OpenAI's GPT-6 Luna base rates.S1 Anthropic estimates roughly 75% lower total workload cost versus Haiku 4.5 once request-size mix and an updated tokenizer are included.S1

Haiku 5.5 is positioned as a supporting worker for Opus- and Sonnet-class agents, not as the recommended model for demanding coding assignments.S1 Rogo's applied AI lead Alex Wang said the model is accurate enough for revenue-figure lookups and cheap enough to run at volume.S1 Anthropic states that approximately 90% of Haiku 4.5 requests fell under the 100,000-token threshold.S1

Above 100,000 tokens, input rises to $0.50 and output to $2.50 per million tokens, a 50% cut from Haiku 4.5, and caching rates scale accordingly.S1 The launch also reduces Sonnet 5.5 caching charges and adds monthly API credits for Max and Team subscribers.S1 The source notes that pricing for requests of exactly 100,000 tokens and the exact token accounting rule are not disclosed.S1

Key numbers from Anthropic's launch materials
MetricReported valueSource
Haiku 5.5 input price (<100K tokens)$0.10 per million tokens[S1]
Haiku 5.5 output price (<100K tokens)$0.50 per million tokens[S1]
Haiku 5.5 input price (>100K tokens)$0.50 per million tokens[S1]
Haiku 5.5 output price (>100K tokens)$2.50 per million tokens[S1]
Haiku 4.5 baseline input/output$1.00 / $5.00 per million tokens[S1]
Estimated workload cost reduction vs. Haiku 4.5~75%[S1]
Share of Haiku 4.5 requests under 100K tokens~90%[S1]
GPT-6 Luna input/output parity$0.10 / $0.50 per million tokens[S1]
Gemini 3.5 Flash-Lite input/output$0.30 / $2.50 per million tokens[S1]
Gemini 3.8 Flash promotional end dateDec. 31, 2026[S1]

Background timeline

  1. - Anthropic released Claude Haiku 5.5 with revised token pricing and lower Sonnet 5.5 caching charges. [S1]
  2. No prior milestones disclosed by the source.

XAIPART take

Technical impact

The 5x step between Haiku 5.5's lower and upper tiers means workload shaping matters more than headline rates. Applications that batch above the 100,000-token boundary will see savings shrink from 90% to 50%, and the source notes token prices cannot alone determine job cost. XAIPART analysis

Market impact

Parity with GPT-6 Luna compresses procurement leverage on small-context jobs and pushes differentiation toward context thresholds, cache economics, and negotiated enterprise rates. Procurement teams re-evaluating multi-vendor LLM routing now have a hard floor at $0.10/M input. XAIPART analysis

Action

Engineering leads should map request-size distributions before retraining pipelines on Haiku 5.5, since the 100,000-token cliff and the new tokenizer both affect realized spend. Re-quote representative workloads against GPT-6 Luna, Gemini 3.5 Flash-Lite, and Grok 4.3 using the same benchmark prompts. XAIPART analysis

XAIPART Forecast

XAIPART expects at least one competing proprietary vendor to publish a sub-$0.10/M input tier for short-context requests within 9 months of this brief, conditional on Gemini 3.8 Flash promotional rates not dropping below $0.30/M input by ; if no such tier appears before this forecast is wrong. XAIPART analysis

Facts are as reported by the cited source. The design-in, sourcing and forward-looking statements above are XAIPART's analysis, not the source's claims. Unconfirmed: the exact billing rule at the 100,000-token boundary, the token accounting that defines the threshold, and any negotiated enterprise discounts are not disclosed by the source.

Corrections: none at publication. This brief will be updated with a timestamp if the source corrects its report.

Key figures sharing one unit family (values are copyable from the table above).
Key numbers in the same unit familyComparable figures: Haiku 5.5 input price (<100K tokens) $0.10 per; Haiku 5.5 output price (<100K tokens) $0.50 per; Haiku 5.5 input price (>100K tokens) $0.50 per; Haiku 5.5 output price (>100K tokens) $2.50 per; Haiku 4.5 baseline input/output $1.00; GPT-6 Luna input/output parity $0.10.Haiku 5.5 input price (<100K tokens)$0.10 perHaiku 5.5 output price (<100K tokens)$0.50 perHaiku 5.5 input price (>100K tokens)$0.50 perHaiku 5.5 output price (>100K tokens)$2.50 perHaiku 4.5 baseline input/output$1.00GPT-6 Luna input/output parity$0.10

Alternativas y ciclo de vida

Alternativas registradas — alcance del catálogo, no una clasificación de mercado
PiezaRelaciónCiclo de vidaBase
— No hay alternativa registrada FALTAN DATOS — Requiere match_type antes de que pueda aparecer cualquier etiqueta de predecesor

Las etiquetas «predecesor» y «alternativa» proceden únicamente de un tipo de coincidencia registrado, un estado del ciclo de vida o el texto de la fuente. Cuando no hay coincidencia registrada, no se muestra ninguna etiqueta. Nuestros propios anuncios no son una referencia de mercado.

Qué hay que vigilar

Previsión refutable — umbral, ventana y estado actual. Las previsiones refutadas permanecen visibles.
AfirmaciónUmbralPorEstado
XAIPART expects at least one competing proprietary vendor to publish a sub-$0.10/M input tier for short-context requests within 9 months of this brief, conditional on Gemini 3.8 Flash promotional rates not dropping be... no such tier appears before 2027-07-09 Pending

Las previsiones que resultan erróneas se mantienen visibles y marcadas. No las eliminamos.

Piezas afectadas

Sin coincidencia en el catálogo. Esta historia no se corresponde con ninguna pieza listada actualmente en XAIPART. No inferimos coincidencias ni mostramos una lista de marcador de posición.

Presión de costes por dimensión

Source: FRED · Generated · reference output z and composite are algorithm outputs, not a fetch snapshot

Cost pressure by dimension — composite stateDiverging bars for three dimensions around a zero midpoint. Input Cost has no reading; Supply Demand z -1.4711, notable; Fx Energy z 0.2546, neutral. Composite index -9.1, band neutral.0Input costno readingSupply/demandz −1.4711 · notable46 dFX & energyz +0.2546 · neutral5 dcomposite −9.1 · neutral−100 · −40 · −15 · 0 · +15 · +40 · +100
Underlying values — copyable for verification.
DimensionFRED series IDUnitLagAs of
Input costPCOPPUSDM, PALUMUSDM, PNICKUSDMUSD/mt52 d
Supply/demandPCU334413334413, IPG3344Sindex(1982=100) / index(2017=100)46 d
FX & energyDEXCHUS, DCOILBRENTEU, DHHNGSPrate / USD/bbl / USD/MMBtu5 d

No free authoritative interface for: gold · silver · rare earth · polysilicon · lithium carbonate · market share — listed rather than approximated.

Cómo se elaboró

Evidencia del proceso — obtención, verificación de fuentes, modelo y filtro
Registro de auditoría de este breve
Source fetched VentureBeat · venturebeat.com · 4,072 chars
Source sanity (S1) ok — passed before any model call (no s1_ block recorded)
Model / prompt MiniMax-M3 · prompt Blog Agent - News Summary (v2.8-final) · 7,201 tokens · 20.4s · run completed
Gate verdict pass · 6/6 applicable checks passed · spec v2.9 · C10 ratio 0.013134 · C10 rounds 0
Time contract 4 <time datetime> values in this brief — 0 violations (+08:00 or date-only)

Cada fila anterior la produce el flujo de trabajo, no se escribe a mano.

Puntuación editorial

Resultado del filtro determinista — PHP puro, sin intervención del modelo en el veredicto
Desglose de la puntuación del filtro 6 comprobaciones aplicables, 6aprobadas: 100 %. No hold items or mandatory failures. Gate spec: v2.9 (S0 + S1 + C1–C20) · Source affinity (C20): 0.6697. Comprobaciones aplicables superadas 6 / 6 = 100% · veredicto: pass No hold items or mandatory failures Gate spec: v2.9 (S0 + S1 + C1–C20) · Source affinity (C20): 0.6697 El filtro decide la publicación. La puntuación de la auditoría independiente es solo consultiva.

Auditoría independiente (consultiva, no afecta a la publicación): 51/100 · nota C — detalle

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Fuentes

  1. Anthropic launches Claude Haiku 5.5 with 90% API price reduction — https://venturebeat.com/technology/anthropic-launches-claude-haiku-5-5-with-90-api-price-reduction-matching-gpt-6-luna · rss · consultado

Los hechos están marcados como S1/S2 y se remontan a la fuente enlazada. Los pasajes etiquetados análisis son el razonamiento propio de XAIPART, mantenido separado de los hechos reportados. Se siguen los enlaces de las fuentes en lugar de nofollow — la atribución es intencionada.