That's NeuralModel catalog

anthropic

Anthropic: Claude Sonnet 5 (batch)

anthropic/claude-sonnet-5:batch

Our take

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

anthropic/claude-sonnet-5:batch is an Anthropic text-output model listed in the OpenRouter catalog for text, image, and file inputs. The catalog describes Sonnet 5 as a high-capability Sonnet-class model for coding, agents, and professional work, with configurable reasoning effort enabled by default. It reports a very large context window, tool use, structured outputs, and response formatting. Evidence is catalog-only; an independent model card was not available in this source pack, so workload validation remains necessary.[1]

Strengths

  • Text, image, and file inputs with text output.[1]
  • Configurable reasoning effort, enabled by default.[1]
  • Large advertised context with support for tools, structured outputs, and response formatting.[1]

Limitations

  • Evidence is limited to OpenRouter catalog data; an independent model card was not available in this source pack.[1]
  • The supplied evidence does not document batch-specific behavior for this variant.[1]
  • Catalog-reported capabilities and benchmark entries do not replace workload-specific validation.[1]

Where to use it

  • Potentially suitable for coding or agentic workflows that can use the cataloged tools and reasoning controls.[1]
  • Worth evaluating for document- or file-oriented tasks where multimodal inputs and a large context may matter.[1]
  • May fit applications needing configurable reasoning effort and structured outputs, subject to validation.[1]

Sources

  1. [1] OpenRouter catalog · Anthropic: Claude Sonnet 5 (batch)Sources checked: Nov 13, 2026

About this model

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

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

Specifications

Model ID
anthropic/claude-sonnet-5:batch
Canonical ID
anthropic/claude-sonnet-5-20260630
Creator
anthropic
Added to OpenRouter
30.06.2026
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 $1 / out $5
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 qualityNo measurementreasoning: optional · default high · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort
CodingAA — next 20% of the cohort—
AgentsAA — next 20% of the cohortparameters: structured_outputs, tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: optional · default high · 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 AnalysisCoding index71.5AA — next 20% of the cohort13.11.2026
Artificial AnalysisAgentic index43.6AA — next 20% of the cohort13.11.2026
Design Arenaagents · agenticgamedevwin rate 51.6% · rank 81,170EloAA — next 20% of the cohort13.11.2026
Design Arenaagents · androidnativewin rate 53.6% · rank 121,212EloAA — next 20% of the cohort13.11.2026
Design Arenaagents · blender3dwin rate 32.3% · rank 21997EloCC — below the B band13.11.2026
Design Arenaagents · codetovideowin rate 42.9% · rank 171,109EloCC — below the B band13.11.2026
Design Arenaagents · fullstackwin rate 53.2% · rank 111,228EloAA — next 20% of the cohort13.11.2026
Design Arenaagents · godotgamedevwin rate 54% · rank 131,205EloBB — next 30% of the cohort13.11.2026
Design Arenaagents · htmlslideswin rate 53.7% · rank 91,113EloBB — next 30% of the cohort13.11.2026
Design Arenaagents · mobileappswin rate 50.2% · rank 191,204EloBB — next 30% of the cohort13.11.2026
Design Arenaagents · pdfwin rate 53.8% · rank 131,205EloBB — next 30% of the cohort13.11.2026
Design Arenaagents · python-pptxslideswin rate 49.3% · rank 151,172EloBB — next 30% of the cohort13.11.2026
Design Arenaagents · spreadsheetwin rate 55% · rank 121,193EloBB — next 30% of the cohort13.11.2026
Design Arenaagents · webappswin rate 52.2% · rank 151,224EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · 3dwin rate 52.9% · rank 351,240EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · asciiartwin rate 50.9% · rank 271,200EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · codecategorieswin rate 52.5% · rank 271,268EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · datavizwin rate 52.6% · rank 361,247EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · gamedevwin rate 51.4% · rank 241,272EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · svgwin rate 49.2% · rank 341,186EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · uicomponentwin rate 53.6% · rank 341,269EloAA — next 20% of the cohort13.11.2026
Design Arenamodels · websitewin rate 52.5% · rank 291,269EloAA — next 20% 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)
Anthropic1,000,000$1$5———

Provider data retrieved: 13.11.2026

Related articles

No published articles identify this model yet.

Links