# Grok 4.5 Usage, Cost & Rank | OpenCode Data

> Grok 4.5 had 0% of tokens across OpenCode over the past two months. Grok 4.5 costs $2.00 per 1M input tokens and $6.00 per 1M output tokens.

xAI's Grok model for chat, coding, agentic tools, and lower hallucination risk

- Page: https://opencode.ai/data/xai/grok-4-5
- JSON: https://opencode.ai/data/xai/grok-4-5.json
- Model ID: xai/grok-4.5
- Lab: xAI
- Updated: 2026-09-20T18:43:53.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 500K |
| Max output | 500K |
| Knowledge cutoff | - |
| Release date | 2026-07-08 |
| Input modalities | text, image |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $2.00 | $6.00 | $0.30 | - |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | Unranked |
| Tokens | 38B |
| Share of all tokens | 0% |
| Change vs previous 2 months | -55% |
| Unique users | 73K |
| Completed sessions | 72,580 |
| Average tokens per session | 523K |
| Average cost per session | $0.4024 |
| Total spend | $29,206 |
| Input tokens served from cache | 81.4% |
| Weekly retention | 40.4% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-08-08 | 1.5B | 2.8K | 2,316 |
| 2026-08-09 | 1.3B | 2.4K | 1,961 |
| 2026-08-10 | 1.9B | 3.3K | 2,904 |
| 2026-08-11 | 2.2B | 4.2K | 1,770 |
| 2026-08-12 | 3B | 4.1K | 814 |
| 2026-08-13 | 2.4B | 4.4K | 734 |
| 2026-08-14 | 2.2B | 4.2K | 745 |
| 2026-08-15 | 1.5B | 3.4K | 780 |
| 2026-08-16 | 1.5B | 3.4K | 650 |
| 2026-08-17 | 2.6B | 4.2K | 766 |
| 2026-08-18 | 2.2B | 3.8K | 2,693 |
| 2026-08-19 | 2.2B | 3.6K | 2,992 |
| 2026-08-20 | 2.5B | 3.4K | 3,102 |
| 2026-08-21 | 2.4B | 3.2K | 2,667 |
| 2026-08-22 | 1.5B | 2.6K | 2,089 |
| 2026-08-23 | 1.4B | 2.5K | 1,718 |
| 2026-08-24 | 2.1B | 3.2K | 2,440 |
| 2026-08-25 | 1.8B | 2.8K | 1,953 |
| 2026-08-26 | 539M | 1.6K | 625 |
| 2026-08-27 | 316M | 1.3K | 443 |
| 2026-08-28 | 126M | 1K | 168 |
| 2026-08-29 | 89M | 777 | 136 |
| 2026-08-30 | 81M | 690 | 166 |
| 2026-08-31 | 139M | 896 | 296 |
| 2026-09-01 | 87M | 778 | 188 |
| 2026-09-02 | 86M | 660 | 175 |
| 2026-09-03 | 54M | 739 | 227 |
| 2026-09-04 | 53M | 628 | 293 |
| 2026-09-05 | 29M | 466 | 245 |
| 2026-09-06 | 29M | 419 | 311 |
| 2026-09-07 | 25M | 514 | 858 |
| 2026-09-08 | 73M | 438 | 927 |
| 2026-09-09 | 13M | 204 | 4,070 |
| 2026-09-10 | 0 | 0 | 2,685 |
| 2026-09-11 | 0 | 0 | 2,567 |
| 2026-09-12 | 0 | 0 | 2,456 |
| 2026-09-13 | 0 | 0 | 2,179 |
| 2026-09-14 | 0 | 0 | 2,853 |
| 2026-09-15 | 0 | 0 | 2,422 |
| 2026-09-16 | 0 | 0 | 2,544 |
| 2026-09-17 | 0 | 0 | 3,310 |
| 2026-09-18 | 0 | 0 | 3,384 |
| 2026-09-19 | 0 | 0 | 3,906 |
| 2026-09-20 | 0 | 0 | 2,052 |
| 2026-09-21 | 0 | 0 | 0 |
| 2025-09-22 | 0 | 0 | 0 |
| 2025-09-23 | 0 | 0 | 0 |
| 2025-09-24 | 0 | 0 | 0 |
| 2025-09-25 | 0 | 0 | 0 |
| 2025-09-26 | 0 | 0 | 0 |
| 2025-09-27 | 0 | 0 | 0 |
| 2025-09-28 | 0 | 0 | 0 |
| 2025-09-29 | 0 | 0 | 0 |
| 2025-09-30 | 0 | 0 | 0 |
| 2025-10-01 | 0 | 0 | 0 |
| 2025-10-02 | 0 | 0 | 0 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | China | 6.4B | 16.9% |
| 2 | United States | 5B | 13.2% |
| 3 | Brazil | 1.8B | 4.7% |
| 4 | Japan | 1.7B | 4.4% |
| 5 | India | 1.5B | 3.9% |
| 6 | Russia | 1.2B | 3.1% |
| 7 | Germany | 1.1B | 3% |
| 8 | Spain | 1.1B | 2.9% |
| 9 | Singapore | 900M | 2.5% |
| 10 | Hong Kong | 900M | 2.4% |
| 11 | Argentina | 900M | 2.3% |
| 12 | Colombia | 800M | 2.2% |
| 13 | United Kingdom | 800M | 2% |
| 14 | Poland | 700M | 1.7% |
| 15 | Türkiye | 600M | 1.6% |

## 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 Pro | 64.7 | resolve rate | https://x.ai/news/grok-4-5 |
| SWE-Bench Multilingual | 78 | resolve rate | https://x.ai/news/grok-4-5 |
| Terminal-Bench | 83.3 | success rate | https://x.ai/news/grok-4-5 |
| DeepSWE | 62 | resolve rate | https://x.ai/news/grok-4-5 |
| DeepSWE | 53 | resolve rate | https://x.ai/news/grok-4-5 |
| SWE Marathon | 29 | pass@1 | https://x.ai/news/grok-4-5 |

## 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.