# Claude Opus 4.5

Claude Opus 4.5 is an AI model released by Anthropic on Nov 24 2025. At release it scored 90% on BullshitBench v2, 87% on GPQA Diamond and 80.9% on SWE-Bench Verified.

## Facts

| Field | Value |
| --- | --- |
| Model | Claude Opus 4.5 |
| Developer | Anthropic |
| Release date | Monday, Nov 24 2025 |
| Licensing | Proprietary |

## API pricing

All rates in USD per 1,000,000 tokens, pay-as-you-go.

| Tier | Input | Cached input | 5 min cache write | 1 hr cache write | Output |
| --- | --- | --- | --- | --- | --- |
| All documented contexts | $5.00 | $0.50 | $6.25 | $10.00 | $25.00 |

Verified August 18, 2026 against the first-party source: https://platform.claude.com/docs/en/about-claude/pricing

## Benchmark scores published at release

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| BullshitBench v2 | 90% | [BullshitBench](https://github.com/petergpt/bullshit-benchmark) | Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. |
| SWE-Bench Verified | 80.9% | [BenchLM](https://benchlm.ai), retrieved 2026-08-24 | Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. |
| Humanity's Last Exam (with tools) | 30.8% | [BenchLM](https://benchlm.ai), retrieved 2026-08-31 | Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. |
| GPQA Diamond | 87% | Lab | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. |
| OSWorld-Verified | 66.3% | [BenchLM](https://benchlm.ai), retrieved 2026-08-31 | Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. |

## About Claude Opus 4.5

Claude Opus 4.5, released November 24, 2025, was the first model to break 80% on SWE-Bench Verified, scoring 80.9%, alongside 87.0% on GPQA Diamond. Anthropic paired the capability jump with a dramatic price cut for the Opus tier, making its flagship practical for everyday agentic coding rather than reserved for hard problems.

The release capped an unusually fast 2025 cadence for Anthropic — Sonnet 4.5 in September, Haiku 4.5 in October, Opus 4.5 in November — and closed the year with Claude on top of most published coding evaluations. The Opus line continued with Opus 4.6 in February 2026 and Opus 4.7 in April 2026.

## Questions and answers

### When was Claude Opus 4.5 released?

Claude Opus 4.5 was released by Anthropic on Monday, Nov 24 2025.

### Who made Claude Opus 4.5?

Claude Opus 4.5 was built by Anthropic. AI safety company building the Claude family of models. Founded in 2021 by former OpenAI researchers.

### How much does Claude Opus 4.5 cost?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens through the Anthropic API. Cached input is $0.50 per million tokens. Rates are pay-as-you-go API prices verified against Anthropic's published pricing on August 18, 2026.

### What benchmark scores did Claude Opus 4.5 get?

Claude Opus 4.5 reports 5 tracked benchmark scores — BullshitBench v2: 90%; SWE-Bench Verified: 80.9%; Humanity's Last Exam (with tools): 30.8%; GPQA Diamond: 87%; OSWorld-Verified: 66.3%. Scores are the figures published at release by Anthropic.

### Is Claude Opus 4.5 open source?

No. Claude Opus 4.5 is a proprietary model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.

### What came before and after Claude Opus 4.5?

Anthropic's previous tracked release was Claude Haiku 4.5 on Oct 15 2025, 40 days earlier. It was followed by Claude Opus 4.6 on Feb 5 2026.


---

Canonical page: https://aireleasetracker.com/model/anthropic/claude-opus-4.5
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.