That's NeuralModel catalog

anthropic

Anthropic: Claude Opus 4.1

anthropic/claude-opus-4.1

Our take

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

OpenRouter’s catalog presents anthropic/claude-opus-4.1 as an updated Anthropic flagship model for coding, reasoning, and agentic tasks. The listing reports text, image, and file inputs with text output, a large context window, tool-calling controls, reasoning-related request parameters, and a January 2025 knowledge cutoff. It also reports a SWE-bench Verified result and category-specific Design Arena outcomes, but this source pack does not include an independent model card.[1]

Strengths

  • The catalog describes improved coding, reasoning, and agentic-task capability relative to the prior Opus release.[1]
  • It accepts text, image, and file inputs and produces text, with a large listed context window.[1]
  • The API listing includes tools, tool choice, sampling controls, and reasoning-related request parameters.[1]

Limitations

  • Evidence is limited to OpenRouter’s catalog; an independent model card was not available in this source pack.[1]
  • Reported performance evidence is narrow and category-dependent, so results should be validated on the intended workload.[1]
  • Output is listed as text only, and the stated knowledge cutoff may limit awareness of later events.[1]

Where to use it

  • Consider for coding assistants or software-agent workflows where the catalog’s reported capabilities are relevant.[1]
  • Potentially useful for document, image, or file analysis that must return text.[1]
  • May suit tool-using assistant prototypes, subject to workload-specific evaluation.[1]

Sources

  1. [1] OpenRouter catalog · Anthropic: Claude Opus 4.1Sources checked: Nov 13, 2026

About this model

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

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains...

Specifications

Model ID
anthropic/claude-opus-4.1
Canonical ID
anthropic/claude-4.1-opus-20250805
Creator
anthropic
Added to OpenRouter
05.08.2025
Context length
200,000
Modality
text+image+file->text
Input modalities
image, text, file
Output modalities
text
Token pricing
USD per 1M tokens: in $15 / out $75
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.

TaskGradeSource-declared capability
General qualityNo measurementreasoning: optional · parameters: include_reasoning, reasoning
CodingNo measurement—
AgentsNo measurementparameters: tool_choice, tools
WritingNo measurementoutput: text
ReasoningNo measurementreasoning: optional · parameters: include_reasoning, reasoning
Document analysisNo measurementinput: file
VisionNo measurementinput: image
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Design Arenamodels · 3dwin rate 51.9% · rank 751,136EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · asciiartwin rate 51.5% · rank 341,162EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · codecategorieswin rate 55.8% · rank 771,161EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · datavizwin rate 56.4% · rank 761,164EloCC — below the B band13.11.2026
Design Arenamodels · gamedevwin rate 58.4% · rank 701,162EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · svgwin rate 60.8% · rank 511,144EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · uicomponentwin rate 57.8% · rank 791,155EloCC — below the B band13.11.2026
Design Arenamodels · websitewin rate 55.3% · rank 821,171EloCC — below the B band13.11.2026
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)
Amazon Bedrock200,000$15$75——100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.