Claude Opus 4.5
200K context window handles substantial retrieved documents with 4.97 grounding and faithfulness scores ensuring high fidelity to source material. Prompt caching feature optimizes performance for repeated retrieval patterns in RAG pipelines. If you want to compare the best LLMs for your data, try Agentset.
Model Information
- Provider
- Anthropic
- License
- Proprietary
- Input Price per 1M
- $5.00
- Output Price per 1M
- $25.00
- Context Window
- 200K
- Release Date
- 2025-11-24
- Model Name
- claude-opus-4-5-20251101
- Total Evaluations
- 1350
Performance Record
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Performance Overview
ELO ratings by dataset
Claude Opus 4.5's ELO performance varies across different benchmark datasets, showing its strengths in specific domains.
Claude Opus 4.5 - ELO by Dataset
Detailed Metrics
Dataset breakdown
Performance metrics across different benchmark datasets, including accuracy and latency percentiles.
MSMARCO
Quality Metrics
- Correctness
- 4.97
- Faithfulness
- 4.97
- Grounding
- 4.97
- Relevance
- 4.97
- Completeness
- 4.97
- Overall
- 4.97
Latency Distribution
- Mean
- 5992ms
- Min
- 2590ms
- Max
- 8072ms
SciFact
Quality Metrics
- Correctness
- 4.77
- Faithfulness
- 4.80
- Grounding
- 4.80
- Relevance
- 4.97
- Completeness
- 4.67
- Overall
- 4.80
Latency Distribution
- Mean
- 7276ms
- Min
- 4210ms
- Max
- 10496ms
PG
Quality Metrics
- Correctness
- 5.00
- Faithfulness
- 5.00
- Grounding
- 5.00
- Relevance
- 5.00
- Completeness
- 4.93
- Overall
- 4.99
Latency Distribution
- Mean
- 11489ms
- Min
- 7945ms
- Max
- 15934ms
Build RAG in Minutes, Not Months
Agentset gives you a complete RAG API with top-ranked LLMs and smart retrieval built in. Upload your data, call the API, and get grounded answers from day one.
import { Agentset } from "agentset";
const agentset = new Agentset();
const ns = agentset.namespace("ns_1234");
const results = await ns.search(
"What is multi-head attention?"
);
for (const result of results) {
console.log(result.text);
}Compare Models
See how it stacks up
Compare Claude Opus 4.5 with other top llms to understand the differences in performance, accuracy, and latency.