Claude Opus 5vsOpus 4.5
Across 4 shared benchmarks, Claude Opus 5 leads overall: Claude Opus 5 wins 4, Opus 4.5 wins 0, with 0 ties and an average score difference of +26.72.
Claude Opus 5
Anthropic · 2026-07-24 · Reasoning model
Opus 4.5
Anthropic · 2025-11-25 · Reasoning model
Claude Opus 54 wins(100%)(0%)0 winsOpus 4.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
General Knowledge
Claude Opus 5 3/3| Benchmark | Claude Opus 5 | Opus 4.5 | Diff |
|---|---|---|---|
| ARC-AGI-2 | 90.401 / 62最高（无工具） | 37.6029 / 62Extended (no tools) | +52.80 |
| HLE | 64.701 / 172Max (With Tools) | 43.2049 / 172Extended (with tools) | +21.50 |
| ARC-AGI | 97.501 / 68极高强度思考（无工具） | 8024 / 68Extended (no tools) | +17.50 |
Coding and Software Engineer
Claude Opus 5 1/1| Benchmark | Claude Opus 5 | Opus 4.5 | Diff |
|---|---|---|---|
| SWE-bench Verified | 961 / 112Max (With Tools) | 80.909 / 112Extended (with tools) | +15.10 |
Specs
| Field | Claude Opus 5 | Opus 4.5 |
|---|---|---|
| Publisher | Anthropic | Anthropic |
| Release date | 2026-07-24 | 2025-11-25 |
| Model type | Reasoning model | Reasoning model |
| Architecture | Dense | Dense |
| Parameters | Not available | Not available |
| Context length | 1M | 200K |
| Max output | 128K | 64K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Claude Opus 5 | Opus 4.5 |
|---|---|---|
| Text input | $5 / 1M tokens | $5 / 1M tokens |
| Text output | $25 / 1M tokens | $25 / 1M tokens |
| Cache read | $0.5 / 1M tokens | $0.5 / 1M tokens |
| Cache write | $6.25 / 1M tokens | $6.25 / 1M tokens |
Summary
- Claude Opus 5leads in:General Knowledge (3/3), Coding and Software Engineer (1/1)
On average across the 4 shared benchmarks, Claude Opus 5 scores 26.72 higher.
Largest single-benchmark gap: ARC-AGI-2 — Claude Opus 5 90.40 vs Opus 4.5 37.60 (+52.80).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.