88.9%
MMLU-Pro (AA run)
Models / Anthropic
Claude Opus · Released 2025-11-24
Anthropic's November 2025 flagship. Best at coding and agents at its release. $5/$25 per 1M tokens, 200K context. Superseded by Opus 4.6/4.7.
Previous-gen Opus for coding and agentic tasks. Still available but Opus 4.7 is the current default.
78average across 6 tested families
Where Claude Opus 4.5 places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| 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 |
The three highest-scoring carded models in each capability family. Where Claude Opus 4.5 shows up, it's highlighted.
Benchmark rows added to the public ledger for Claude Opus 4.5 in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| 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 |
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover or tab any dot for name, score, and input price.
Every catalog benchmark for Claude Opus 4.5. Scores link to the original source; gaps mean no public row exists yet.
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)