# Qwen3.8 Max Usage, Cost & Rank | OpenCode Data

> Qwen3.8 Max ranked #29 by tokens across OpenCode last week, with 0.0% of tokens over the past two months. Qwen3.8 Max costs $2.00 per 1M input tokens and $6.00 per 1M output tokens.

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

- Page: https://opencode.ai/data/alibaba/qwen3-8-max
- JSON: https://opencode.ai/data/alibaba/qwen3-8-max.json
- Model ID: alibaba/qwen3.8-max
- Lab: Alibaba
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 131K |
| Knowledge cutoff | - |
| Release date | 2026-08-03 |
| Input modalities | text, image, video, pdf |
| 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 | $0.25 | - |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #29 |
| Tokens | 351B |
| Share of all tokens | 0.0% |
| Change vs previous 2 months | +659% |
| Unique users | 162K |
| Completed sessions | 399,389 |
| Average tokens per session | 879K |
| Average cost per session | $0.4207 |
| Total spend | $168,027 |
| Input tokens served from cache | 93.6% |
| Weekly retention | 42.4% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-08-08 | 6.5B | 3.4K | 3,806 |
| 2026-08-09 | 5.3B | 3K | 3,146 |
| 2026-08-10 | 8.1B | 4.3K | 4,486 |
| 2026-08-11 | 8.2B | 4.9K | 2,251 |
| 2026-08-12 | 13B | 5K | 151 |
| 2026-08-13 | 11B | 4.8K | 124 |
| 2026-08-14 | 9.2B | 4.5K | 136 |
| 2026-08-15 | 7B | 4K | 136 |
| 2026-08-16 | 3.9B | 4.5K | 94 |
| 2026-08-17 | 2.4B | 5.7K | 62 |
| 2026-08-18 | 9.6B | 5K | 3,380 |
| 2026-08-19 | 11B | 4.9K | 4,357 |
| 2026-08-20 | 9.9B | 4.7K | 4,348 |
| 2026-08-21 | 8.9B | 4.4K | 4,158 |
| 2026-08-22 | 6.7B | 3.1K | 3,534 |
| 2026-08-23 | 6.8B | 2.7K | 2,691 |
| 2026-08-24 | 10B | 4.5K | 4,497 |
| 2026-08-25 | 9.2B | 3.7K | 3,560 |
| 2026-08-26 | 8.2B | 3.5K | 3,152 |
| 2026-08-27 | 7B | 3.2K | 3,019 |
| 2026-08-28 | 6.6B | 2.7K | 2,534 |
| 2026-08-29 | 4.9B | 2K | 2,088 |
| 2026-08-30 | 5.3B | 1.9K | 2,041 |
| 2026-08-31 | 7.3B | 2.8K | 3,257 |
| 2026-09-01 | 6.7B | 2.6K | 2,622 |
| 2026-09-02 | 6.5B | 2.6K | 2,762 |
| 2026-09-03 | 5.5B | 2.6K | 2,661 |
| 2026-09-04 | 5.1B | 2.3K | 2,411 |
| 2026-09-05 | 4.4B | 1.8K | 2,283 |
| 2026-09-06 | 3.5B | 1.7K | 3,067 |
| 2026-09-07 | 6.2B | 2.4K | 6,808 |
| 2026-09-08 | 7B | 2.3K | 13,335 |
| 2026-09-09 | 5.8B | 2.1K | 18,188 |
| 2026-09-10 | 5.7B | 2.5K | 16,593 |
| 2026-09-11 | 4.7B | 2.1K | 15,384 |
| 2026-09-12 | 4.9B | 1.7K | 19,282 |
| 2026-09-13 | 4.4B | 1.8K | 20,422 |
| 2026-09-14 | 6.5B | 2.6K | 20,278 |
| 2026-09-15 | 6B | 2.5K | 17,785 |
| 2026-09-16 | 6B | 2.5K | 20,593 |
| 2026-09-17 | 6.4B | 2.6K | 24,091 |
| 2026-09-18 | 7.5B | 2.5K | 17,206 |
| 2026-09-19 | 5.1B | 1.9K | 13,141 |
| 2026-09-20 | 4.9B | 1.9K | 10,915 |
| 2026-09-21 | 7.3B | 2.7K | 12,361 |
| 2026-09-22 | 6.3B | 2.6K | 7,215 |
| 2026-09-23 | 5.2B | 2.2K | 7,306 |
| 2026-09-24 | 4.8B | 1.9K | 4,997 |
| 2026-09-25 | 3.5B | 1.6K | 4,257 |
| 2026-09-26 | 3.7B | 1.5K | 4,330 |
| 2026-09-27 | 2.9B | 1.7K | 4,118 |
| 2026-09-28 | 5.2B | 2.4K | 11,727 |
| 2026-09-29 | 5.1B | 2.4K | 10,328 |
| 2026-09-30 | 4.1B | 2.1K | 10,171 |
| 2026-10-01 | 3.7B | 1.8K | 9,015 |
| 2026-10-02 | 768M | 679 | 2,729 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 54B | 15.2% |
| 2 | China | 33B | 9.3% |
| 3 | Germany | 19B | 5.5% |
| 4 | Brazil | 15B | 4.2% |
| 5 | Spain | 14B | 4% |
| 6 | Russia | 12B | 3.3% |
| 7 | Australia | 10B | 2.9% |
| 8 | India | 10B | 2.9% |
| 9 | United Kingdom | 10B | 2.8% |
| 10 | Japan | 8.1B | 2.3% |
| 11 | France | 8.1B | 2.3% |
| 12 | Canada | 7.4B | 2.1% |
| 13 | Argentina | 7.3B | 2.1% |
| 14 | Colombia | 7.1B | 2% |
| 15 | Netherlands | 6.8B | 2% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 25 | [glm-5.2](https://opencode.ai/data/zhipuai/glm-5-2.md) | Zhipu | 61B |
| 26 | [kimi-k3](https://opencode.ai/data/moonshotai/kimi-k3.md) | Moonshot | 45B |
| 27 | [mimo-v2.5-pro](https://opencode.ai/data/xiaomi/mimo-v2-5-pro.md) | Xiaomi | 42B |
| 28 | [longcat-2.0](https://opencode.ai/data/meituan/longcat-2-0.md) | Meituan | 26B |
| 29 | [qwen3.8-max](https://opencode.ai/data/alibaba/qwen3-8-max.md) | Qwen | 26B |
| 30 | [hy3](https://opencode.ai/data/tencent/hy3.md) | Tencent | 17B |
| 31 | [minimax-m2.7](https://opencode.ai/data/minimax/minimax-m2-7.md) | MiniMax | 15B |
| 32 | [hy4-preview](https://opencode.ai/data/tencent/hy4-preview.md) | Tencent | 13B |
| 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 |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| Terminal-Bench | 86.6 | avg@10 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| SWE-Bench Pro | 67.7 | resolved | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| DeepSWE | 56.6 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| NL2Repo | 55.9 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| FrontierSWE | 73.5 | dominance score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| MLS-Bench-Lite | 41 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| PaperBench | 93 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| AndroidBench | 75.1 | avg@3 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| QwenSWEBench | 80.7 | avg@3 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| QwenQoderBench | 58.4 | avg@5 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| QwenReactBench | 1724 | Elo | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| QwenSVGBench | 1713 | Elo | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| CoWorkBench | 74.8 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| WorkSpaceBench | 67.7 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| JobBench | 53.4 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| SkillsBench | 70.2 | avg@3 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| Agents' Last Exam | 27 | pass@1 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| Agents' Last Exam | 52.4 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| AutomationBench | 27.3 | pass@1 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| Toolathlon-Verified | 72.5 | pass@1 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| WideSearch | 81.9 | average item F1 | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| Humanity's Last Exam | 56.2 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| Humanity's Last Exam | 43.6 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| GPQA Diamond | 92.6 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| IFBench | 82.8 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| $OneMillion-Bench | 52.5 | expert score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| HealthBench | 60.2 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| PLawBench | 73.2 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| PRBench | 57.6 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| PRBench | 58.3 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| MRCR | 92.9 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |
| LongBench | 66.3 | score | https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B |

## 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.