anthropic

Anthropic: Claude Sonnet 4.5 (batch)

anthropic/claude-sonnet-4.5:batch

Our take

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

OpenRouter's catalog identifies anthropic/claude-sonnet-4.5:batch as an Anthropic Claude Sonnet 4.5 batch variant with text, image, and file inputs and text output. The listing reports support for tool use, structured outputs, and optional reasoning controls, and describes the model as oriented toward agent and coding workflows. It also publishes third-party benchmark measurements for design, coding, and agentic tasks, but the source pack does not include an independent model card or workload-specific validation.[1]

Strengths

Catalog lists a one-million-token context window.[1]
Accepts text, image, and file inputs while producing text output.[1]
Reports tool calling, structured outputs, and optional reasoning controls.[1]

Limitations

Evidence is catalog-only; no independent model card was included in this source pack.[1]
The source does not explain batch-specific execution behavior, latency, throughput, or operational guarantees.[1]
Benchmark measurements cover only the reported design, coding, and agentic categories and need workload validation.[1]

Where to use it

Evaluate for batch coding or agent workflow prototypes that need tools and text output.[1]
Consider for document or image understanding tasks that require text-only responses.[1]
Pilot for structured-generation pipelines that need response-format or schema controls.[1]

Sources

[1] OpenRouter catalog · Anthropic: Claude Sonnet 4.5 (batch)Sources checked: Nov 13, 2026

About this model

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

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with...

Specifications

Model ID: anthropic/claude-sonnet-4.5:batch
Canonical ID: anthropic/claude-4.5-sonnet-20250929
Creator: anthropic
Added to OpenRouter: 29.09.2025
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 $1.5 / out $7.5
Knowledge cutoff: 31.01.2025
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.

Task	Grade	Source-declared capability
General quality	No measurement	reasoning: optional · parameters: include_reasoning, reasoning
Coding	BB — next 30% of the cohort	—
Agents	BB — next 30% of the cohort	parameters: structured_outputs, tool_choice, tools
Writing	No measurement	output: text
Reasoning	No measurement	reasoning: optional · parameters: include_reasoning, reasoning
Document analysis	No measurement	input: file
Vision	No measurement	input: image
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

Source	Benchmark	Value	Grade	Data retrieved
Artificial Analysis	Coding index	52.1	BB — next 30% of the cohort	13.11.2026
Artificial Analysis	Agentic index	15.8	BB — next 30% of the cohort	13.11.2026
Design Arena	models · 3dwin rate 51% · rank 73	1,140Elo	BB — next 30% of the cohort	13.11.2026
Design Arena	models · asciiartwin rate 56.1% · rank 26	1,200Elo	BB — next 30% of the cohort	13.11.2026
Design Arena	models · codecategorieswin rate 51.5% · rank 70	1,173Elo	BB — next 30% of the cohort	13.11.2026
Design Arena	models · datavizwin rate 47.4% · rank 75	1,165Elo	CC — below the B band	13.11.2026
Design Arena	models · gamedevwin rate 51.1% · rank 73	1,157Elo	BB — next 30% of the cohort	13.11.2026
Design Arena	models · svgwin rate 52.2% · rank 64	1,107Elo	CC — below the B band	13.11.2026
Design Arena	models · uicomponentwin rate 49.4% · rank 75	1,163Elo	BB — next 30% of the cohort	13.11.2026
Design Arena	models · websitewin rate 51.8% · rank 75	1,182Elo	BB — next 30% of the cohort	13.11.2026
Design Arena	agents · fullstackwin rate 43.7% · rank 37	1,028Elo	CC — below the B band	13.11.2026
Design Arena	agents · mobileappswin rate 53% · rank 36	1,132Elo	CC — below the B band	13.11.2026
Design Arena	agents · webappswin rate 43.2% · rank 42	1,042Elo	CC — below the B band	13.11.2026

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.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Anthropic	1,000,000	$1.5	$7.5	—	—	—

Provider data retrieved: 13.11.2026

No published articles identify this model yet.