That's NeuralModel catalog

anthropic

Anthropic: Claude Haiku 5.5

anthropic/claude-haiku-5.5

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

According to the OpenRouter catalog, anthropic/claude-haiku-5.5 is Anthropic's small, fast model aimed at high-volume, cost-sensitive work such as summarization, subagents, and browser use, presented as the successor to Claude Haiku 4.5 with stronger coding and computer use. It accepts text, image, and file inputs and returns text within a one-million-token context window. Optional reasoning is supported at several effort levels, alongside tool calling and structured outputs. An independent model card was not available in this source pack.[1]

Strengths

  • The OpenRouter catalog lists multimodal input support for text, images, and files, with a one-million-token context window.[1]
  • Optional reasoning with multiple effort levels is supported, along with tool calling, structured outputs, and response format parameters.[1]
  • The catalog describes it as a small, fast model positioned for high-volume, cost-sensitive workloads.[1]

Limitations

  • All evidence comes from the OpenRouter catalog only; no independent model card or first-party documentation was available in this source pack.[1]
  • The catalog does not specify a knowledge cutoff or safety evaluations; reported capabilities should be validated on your own workloads.[1]
  • The catalog's benchmark and index listings are measured results that may not transfer to specific tasks.[1]

Where to use it

  • The catalog suggests high-volume summarization and text processing pipelines; confirm output quality on representative data.[1]
  • Subagent and browser-use automation are listed as intended applications; test integration with your tooling.[1]
  • A plausible fit for cost-sensitive applications needing image or file input, per the catalog description.[1]

Sources

  1. [1] OpenRouter catalog · Anthropic: Claude Haiku 5.5Sources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

Specifications

Model ID
anthropic/claude-haiku-5.5
Canonical ID
anthropic/claude-haiku-5.5-20261007
Creator
anthropic
Added to OpenRouter
07.10.2026
Context length
1,000,000
Modality
text+image+file->text
Input modalities
text, image, file
Output modalities
text
Token pricing
USD per 1M tokens: in $0.100 / out $0.500
Knowledge cutoff
—
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityAA — next 20% of the cohortreasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
CodingNo measurement—
AgentsNo measurementparameters: structured_outputs, tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
Document analysisNo measurementinput: file
VisionNo measurementinput: image
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Artificial AnalysisIntelligence index36.5AA — next 20% of the cohort13.11.2026
Design Arenamodels · 3dwin rate 55.8% · rank 141,327EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · asciiartwin rate 50.9% · rank 221,216EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · codecategorieswin rate 50.3% · rank 251,278EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · datavizwin rate 50.4% · rank 191,279EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · gamedevwin rate 52.5% · rank 141,316EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · svgwin rate 43.4% · rank 311,194EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · uicomponentwin rate 50.8% · rank 301,274EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · websitewin rate 48.2% · rank 411,254EloBB — next 30% of the cohort13.11.2026
How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Google1,000,000$0.100$0.500——100%
Claude Platform on AWS1,000,000$0.100$0.500——100%
Azure1,000,000$0.100$0.500——83.33%
Anthropic1,000,000$0.100$0.500——73.33%
Amazon Bedrock1,000,000$0.100$0.500——100%
Google1,000,000$0.110$0.550——100%
Google1,000,000$0.110$0.550——100%
Azure1,000,000$0.110$0.550———
Amazon Bedrock1,000,000$0.110$0.550——100%
Amazon Bedrock1,000,000$0.110$0.550——100%

Provider data retrieved: 13.11.2026