# Grok 4.6 Usage, Cost & Rank | OpenCode Data

> Grok 4.6 ranked #37 by tokens across OpenCode last week, with 0.0% of tokens over the past two months. Grok 4.6 costs $2.00 per 1M input tokens and $6.00 per 1M output tokens.

xAI's frontier model for long-running agents, coding, knowledge work, and visual projects

- Page: https://opencode.ai/data/xai/grok-4-6
- JSON: https://opencode.ai/data/xai/grok-4-6.json
- Model ID: xai/grok-4.6
- Lab: xAI
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 500K |
| Max output | 500K |
| Knowledge cutoff | 2026-02-01 |
| Release date | 2026-08-12 |
| 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 | $0.50 | - |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #37 |
| Tokens | 73B |
| Share of all tokens | 0.0% |
| Change vs previous 2 months | +100% |
| Unique users | 52K |
| Completed sessions | 109,350 |
| Average tokens per session | 671K |
| Average cost per session | $0.6101 |
| Total spend | $66,714 |
| Input tokens served from cache | 84.7% |
| Weekly retention | 42.7% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-08-25 | 356M | 270 | 371 |
| 2026-08-26 | 3.1B | 1.8K | 2,668 |
| 2026-08-27 | 2.8B | 1.9K | 2,158 |
| 2026-08-28 | 2.3B | 1.5K | 2,031 |
| 2026-08-29 | 1.9B | 1.2K | 1,769 |
| 2026-08-30 | 1.8B | 1.1K | 1,524 |
| 2026-08-31 | 2.6B | 1.6K | 2,185 |
| 2026-09-01 | 2.8B | 1.7K | 2,046 |
| 2026-09-02 | 2.6B | 1.6K | 1,952 |
| 2026-09-03 | 2.3B | 1.7K | 2,320 |
| 2026-09-04 | 2.7B | 1.6K | 2,376 |
| 2026-09-05 | 2.1B | 1.2K | 2,020 |
| 2026-09-06 | 2.1B | 1.2K | 3,043 |
| 2026-09-07 | 2.8B | 1.7K | 4,378 |
| 2026-09-08 | 2.7B | 1.7K | 3,538 |
| 2026-09-09 | 2.5B | 1.6K | 4,499 |
| 2026-09-10 | 2.7B | 1.9K | 4,195 |
| 2026-09-11 | 2.2B | 1.6K | 3,724 |
| 2026-09-12 | 1.9B | 1.4K | 3,195 |
| 2026-09-13 | 2B | 1.3K | 3,167 |
| 2026-09-14 | 3.2B | 1.9K | 4,350 |
| 2026-09-15 | 3B | 2K | 4,452 |
| 2026-09-16 | 2.9B | 2K | 4,208 |
| 2026-09-17 | 3.1B | 2.1K | 5,218 |
| 2026-09-18 | 2.6B | 1.9K | 5,644 |
| 2026-09-19 | 1.9B | 1.5K | 5,293 |
| 2026-09-20 | 2.2B | 1.6K | 4,655 |
| 2026-09-21 | 2.3B | 1.7K | 3,931 |
| 2026-09-22 | 1.2B | 1.3K | 3,383 |
| 2026-09-23 | 808M | 925 | 1,693 |
| 2026-09-24 | 580M | 814 | 1,590 |
| 2026-09-25 | 522M | 659 | 1,353 |
| 2026-09-26 | 360M | 641 | 1,306 |
| 2026-09-27 | 326M | 602 | 1,244 |
| 2026-09-28 | 528M | 829 | 1,729 |
| 2026-09-29 | 518M | 824 | 1,921 |
| 2026-09-30 | 488M | 735 | 1,700 |
| 2026-10-01 | 466M | 634 | 2,026 |
| 2026-10-02 | 87M | 195 | 495 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 14B | 18.9% |
| 2 | China | 7.3B | 9.9% |
| 3 | Brazil | 3.7B | 5.1% |
| 4 | Germany | 3.2B | 4.4% |
| 5 | India | 3B | 4% |
| 6 | Japan | 2.6B | 3.5% |
| 7 | Spain | 2.2B | 3.1% |
| 8 | Russia | 1.8B | 2.4% |
| 9 | Singapore | 1.8B | 2.4% |
| 10 | Hong Kong | 1.7B | 2.3% |
| 11 | Argentina | 1.7B | 2.3% |
| 12 | United Kingdom | 1.5B | 2.1% |
| 13 | Canada | 1.5B | 2% |
| 14 | Colombia | 1.4B | 1.9% |
| 15 | France | 1.4B | 1.9% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 33 | [omen-alpha](https://opencode.ai/data/unknown/omen-alpha.md) | - | 12B |
| 34 | [grok-4.7](https://opencode.ai/data/xai/grok-4-7.md) | xAI | 9.6B |
| 35 | [jev-1.13](https://opencode.ai/data/unknown/jev-1-13.md) | - | 6B |
| 36 | [kimi-k2.6](https://opencode.ai/data/moonshotai/kimi-k2-6.md) | Moonshot | 5.5B |
| 37 | [grok-4.6](https://opencode.ai/data/xai/grok-4-6.md) | xAI | 2.8B |
| 38 | [glm-5.1](https://opencode.ai/data/zhipuai/glm-5-1.md) | Zhipu | 2.5B |
| 39 | [qwen3.6-plus](https://opencode.ai/data/alibaba/qwen3-6-plus.md) | Qwen | 1.9B |
| 40 | [test-novita-dsf4.1](https://opencode.ai/data/deepseek/test-novita-dsf4-1.md) | DeepSeek | 986M |
| 41 | [qwen3.7-max](https://opencode.ai/data/alibaba/qwen3-7-max.md) | Qwen | 920M |
| 42 | [minimax-m2.5](https://opencode.ai/data/minimax/minimax-m2-5.md) | MiniMax | 720M |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| CursorBench | 40.4 | score | https://x.ai/news/grok-4-7 |
| DeepSWE | 65.2 | score | https://x.ai/news/grok-4-7 |
| EEBench | 53 | score | https://x.ai/news/grok-4-7 |
| AA-Briefcase | 1546 | Elo | https://x.ai/news/grok-4-7 |
| Terminal-Bench | 20.3 | score | https://x.ai/news/grok-4-7 |
| Harvey Legal Agent Benchmark | 15.8 | score | https://x.ai/news/grok-4-7 |
| HealthBench | 48.5 | score | https://x.ai/news/grok-4-7 |
| GDPval | 1605 | Elo | https://x.ai/news/grok-4-7 |

## 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.