# Claude Opus 5 Usage, Cost & Rank | OpenCode Data

> Claude Opus 5 costs $5.00 per 1M input tokens and $25.00 per 1M output tokens.

Strongest Claude Opus model for coding, agents, and professional work

- Page: https://opencode.ai/data/anthropic/claude-opus-5
- JSON: https://opencode.ai/data/anthropic/claude-opus-5.json
- Model ID: anthropic/claude-opus-5
- Lab: Anthropic
- Updated: 2026-09-20T17:30:32.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 128K |
| Knowledge cutoff | 2026-05 |
| Release date | 2026-07-24 |
| Input modalities | text, image, pdf |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $5.00 | $25.00 | $0.50 | $6.25 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | Unranked |
| Tokens | 0 |
| Share of all tokens | 0% |
| Change vs previous 2 months | 0% |
| Unique users | 0 |
| Completed sessions | 43 |
| Average tokens per session | 0 |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 0% |
| Weekly retention | - |

## Daily usage: past 2 months

_No data yet._

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 1 | [space-bunny](https://opencode.ai/data/unknown/space-bunny.md) | - | 58T |
| 2 | [deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 34T |
| 3 | [muse-spark-1.3-contributor](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 32T |
| 4 | [mimo-v2.6-flash](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 9T |
| 5 | [deepseek-v4-flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | DeepSeek | 5.7T |
| 6 | [nemotron-3-ultra](https://opencode.ai/data/nvidia/nemotron-3-ultra.md) | NVIDIA | 3.7T |
| 7 | [longcat-2.5-preview](https://opencode.ai/data/meituan/longcat-2-5-preview.md) | Meituan | 2.7T |
| 8 | [glm-5.3-flash](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 2.2T |
| 9 | [mimo-v2.5](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 810B |
| 10 | [muse-spark-1.2-contributor](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 754B |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| SWE-Bench Verified | 96 | resolved | https://www.anthropic.com/claude-opus-5-system-card |
| SWE-Bench Pro | 79.2 | resolve rate | https://www.anthropic.com/claude-opus-5-system-card |
| SWE-Bench Multilingual | 89.5 | resolve rate | https://www.anthropic.com/claude-opus-5-system-card |
| SWE-Bench Multimodal | 59.4 | resolve rate | https://www.anthropic.com/claude-opus-5-system-card |
| DeepSWE | 68.8 | resolve rate | https://www.anthropic.com/claude-opus-5-system-card |
| FrontierCode | 53.4 | mean@5 | https://www.anthropic.com/claude-opus-5-system-card |
| Frontier-Bench | 43.3 | mean reward | https://www.anthropic.com/claude-opus-5-system-card |
| BrowseComp | 90.8 | accuracy | https://www.anthropic.com/claude-opus-5-system-card |
| Humanity's Last Exam | 56.3 | accuracy | https://www.anthropic.com/claude-opus-5-system-card |
| Humanity's Last Exam | 64.7 | accuracy | https://www.anthropic.com/claude-opus-5-system-card |
| DeepSearchQA | 95 | F1 | https://www.anthropic.com/news/claude-opus-5 |
| OSWorld | 70.6 | success rate | https://www.anthropic.com/claude-opus-5-system-card |
| GDPval-AA | 1861 | Elo | https://www.anthropic.com/claude-opus-5-system-card |
| AA-Briefcase | 1720 | Elo | https://www.anthropic.com/claude-opus-5-system-card |
| AutomationBench | 26 | success rate | https://www.anthropic.com/claude-opus-5-system-card |
| ARC-AGI-1 | 97.5 | accuracy | https://www.anthropic.com/claude-opus-5-system-card |
| ARC-AGI-2 | 90.4 | accuracy | https://www.anthropic.com/claude-opus-5-system-card |
| ARC-AGI-3 | 30.2 | RHAE | https://www.anthropic.com/claude-opus-5-system-card |
| HealthBench Professional | 59.8 | score | https://www.anthropic.com/claude-opus-5-system-card |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.