88.9%
MMLU-Pro (AA run)
Modelle / Anthropic
Claude Opus · Release 2025-11-24
Anthropics Flaggschiff November 2025. Bei Release das Beste für Coding und Agenten. $5/$25 pro 1M Tokens, 200K-Kontext. Durch Opus 4.6/4.7 abgelöst.
Vorherige Opus-Generation für Coding und Agent-Aufgaben. Noch verfügbar, aber Opus 4.7 ist das aktuelle Standard.
78average across 6 tested families
Wo Claude Opus 4.5 auf jeder öffentlichen Benchmark-Quelle mit Zeile steht. Rang zählt jedes Modell mit neuester Zeile im selben Test — kein universeller Qualitätsscore.
| Benchmark | Family | Rang | Score | Quelle | Datum |
|---|---|---|---|---|---|
| MMLU-Pro | Knowledge | #2/ 21 | 89 | Artificial Analysis | 2026-07-21 |
| SWE-bench Verified | Coding | #5/ 23 | 81 | SWE-bench SEAL leaderboard | 2026-05-30 |
| τ³-Bench Banking | Agentic | #6/ 64 | 86 | Artificial Analysis | 2026-07-21 |
| LiveCodeBench | Coding | #7/ 13 | 74 | Artificial Analysis | 2026-07-21 |
| AIME | Math | #13/ 19 | 63 | Artificial Analysis | 2026-07-21 |
| SciCode | Coding | #35/ 65 | 47 | Artificial Analysis | 2026-07-21 |
| AA-LCR | Long context | #37/ 64 | 65 | Artificial Analysis | 2026-07-21 |
| AA time to first token | Performance | #37/ 69 | Artificial Analysis | 2026-07-21 | |
| AA output speed | Performance | #41/ 69 | Artificial Analysis | 2026-07-21 | |
| Artificial Analysis Intelligence Index | Reasoning | #45/ 67 | 35 | Artificial Analysis | 2026-07-21 |
| GPQA Diamond | Reasoning | #49/ 69 | 81 | Artificial Analysis | 2026-07-21 |
| Terminal-Bench | Agentic | #51/ 69 | 41 | Artificial Analysis | 2026-07-21 |
| IFBench | Reasoning | #52/ 57 | 43 | Artificial Analysis | 2026-07-21 |
| Humanity's Last Exam | Reasoning | #55/ 65 | 13 | Artificial Analysis | 2026-07-21 |
Die drei höchstscorierenden kartierten Modelle pro Capability-Family. Wo Claude Opus 4.5 auftaucht, ist es hervorgehoben.
Benchmark-Zeilen im öffentlichen Ledger für Claude Opus 4.5 in den letzten 120 Tagen. Ältere Zeilen stehen in der vollen Tabelle unten.
| Benchmark | Family | Score | Quelle | Tage her |
|---|---|---|---|---|
| AA-LCR | Long context | 65.33% | Artificial Analysis | 2 |
| AA output speed | Performance | 68 t/s | Artificial Analysis | 2 |
| AA time to first token | Performance | 1.32s | Artificial Analysis | 2 |
| AIME | Math | 62.67% | Artificial Analysis | 2 |
| Artificial Analysis Intelligence Index | Reasoning | 34.7% | Artificial Analysis | 2 |
| GPQA Diamond | Reasoning | 81% | Artificial Analysis | 2 |
| Humanity's Last Exam | Reasoning | 12.9% | Artificial Analysis | 2 |
| IFBench | Reasoning | 42.99% | Artificial Analysis | 2 |
| LiveCodeBench | Coding | 73.8% | Artificial Analysis | 2 |
| MMLU-Pro | Knowledge | 88.9% | Artificial Analysis | 2 |
| SciCode | Coding | 47% | Artificial Analysis | 2 |
| τ³-Bench Banking | Agentic | 86.26% | Artificial Analysis | 2 |
| Terminal-Bench | Agentic | 40.91% | Artificial Analysis | 2 |
| SWE-bench Verified | Coding | 80.9% | SWE-bench SEAL leaderboard | 54 |
Ein hoher Composite, der eine schwache Family versteckt, ist eine Falle. Diese Balken zeigen Families ohne öffentlichen Test — und wo das Modell führt.
Hover or tab any dot for name, score, and input price.
Jeder Katalog-Benchmark für Claude Opus 4.5. Scores verlinken zur Originalquelle; Lücken heißen: noch keine öffentliche Zeile.
14 of 32 catalog benchmarks have a sourced row for Claude Opus 4.5.
88.9%
MMLU-Pro (AA run)
34.7%
AA Intelligence Index v4.1
81%
GPQA Diamond (AA run)
12.9%
HLE (AA run)
42.99%
IFBench (AA run)
62.67%
AIME 2025 (AA run)
73.8%
LiveCodeBench (AA run)
47%
SciCode (AA run)
80.9%
SWE-bench Verified (SEAL harness)
40.91%
Terminal-Bench Hard (AA run)
86.26%
τ²-Bench Banking (AA run; maps to τ³ explainer)
65.33%
AA-LCR (AA run)
68 t/s
Median output tokens/s (1k prompt, default provider)
1.32s
Median time to first token (1k prompt, default provider)