# Qwen3.7 Max Usage, Cost & Rank | OpenCode Data

> Qwen3.7 Max ranked #41 by tokens across OpenCode last week, with 0.0% of tokens over the past two months. Qwen3.7 Max costs $2.50 per 1M input tokens and $7.50 per 1M output tokens.

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

- Page: https://opencode.ai/data/alibaba/qwen3-7-max
- JSON: https://opencode.ai/data/alibaba/qwen3-7-max.json
- Model ID: alibaba/qwen3.7-max
- Lab: Alibaba
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 66K |
| Knowledge cutoff | - |
| Release date | 2026-05-21 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $2.50 | $7.50 | $0.50 | $3.13 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #41 |
| Tokens | 89B |
| Share of all tokens | 0.0% |
| Change vs previous 2 months | -79% |
| Unique users | 82K |
| Completed sessions | 86,877 |
| Average tokens per session | 1M |
| Average cost per session | $0.9239 |
| Total spend | $80,265 |
| Input tokens served from cache | 88.9% |
| Weekly retention | 45.4% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-08-08 | 2.2B | 2.4K | 1,463 |
| 2026-08-09 | 1.5B | 2.1K | 1,295 |
| 2026-08-10 | 3B | 3K | 2,534 |
| 2026-08-11 | 3B | 3.5K | 902 |
| 2026-08-12 | 3.9B | 2.6K | 15 |
| 2026-08-13 | 3.7B | 2.8K | 10 |
| 2026-08-14 | 3.6B | 3.2K | 16 |
| 2026-08-15 | 2.3B | 2.7K | 16 |
| 2026-08-16 | 1.3B | 2.8K | 15 |
| 2026-08-17 | 1.5B | 4.5K | 16 |
| 2026-08-18 | 3.3B | 3.2K | 1,667 |
| 2026-08-19 | 4B | 3K | 2,357 |
| 2026-08-20 | 3.4B | 2.8K | 2,126 |
| 2026-08-21 | 2.9B | 3.6K | 1,927 |
| 2026-08-22 | 2.2B | 1.7K | 1,344 |
| 2026-08-23 | 1.9B | 1.5K | 1,116 |
| 2026-08-24 | 3.3B | 2.4K | 2,298 |
| 2026-08-25 | 3B | 1.9K | 1,771 |
| 2026-08-26 | 3B | 1.7K | 1,505 |
| 2026-08-27 | 2.4B | 1.5K | 1,388 |
| 2026-08-28 | 2.2B | 1.3K | 1,268 |
| 2026-08-29 | 1.5B | 968 | 1,066 |
| 2026-08-30 | 1.3B | 865 | 1,045 |
| 2026-08-31 | 2.5B | 1.4K | 1,751 |
| 2026-09-01 | 1.6B | 1.3K | 1,225 |
| 2026-09-02 | 1.3B | 1.1K | 1,344 |
| 2026-09-03 | 1.3B | 1.1K | 1,309 |
| 2026-09-04 | 1.3B | 983 | 1,345 |
| 2026-09-05 | 814M | 730 | 877 |
| 2026-09-06 | 718M | 666 | 926 |
| 2026-09-07 | 1.5B | 948 | 1,885 |
| 2026-09-08 | 1.3B | 888 | 2,194 |
| 2026-09-09 | 1.2B | 771 | 2,133 |
| 2026-09-10 | 1B | 1.1K | 2,668 |
| 2026-09-11 | 885M | 927 | 2,411 |
| 2026-09-12 | 667M | 693 | 1,732 |
| 2026-09-13 | 671M | 691 | 2,031 |
| 2026-09-14 | 1.1B | 1.1K | 2,742 |
| 2026-09-15 | 1B | 1K | 2,388 |
| 2026-09-16 | 1.2B | 1K | 2,817 |
| 2026-09-17 | 901M | 1.1K | 3,457 |
| 2026-09-18 | 799M | 948 | 2,628 |
| 2026-09-19 | 671M | 853 | 2,885 |
| 2026-09-20 | 613M | 862 | 3,847 |
| 2026-09-21 | 1.3B | 1.1K | 2,579 |
| 2026-09-22 | 1.1B | 1.1K | 2,832 |
| 2026-09-23 | 740M | 817 | 2,251 |
| 2026-09-24 | 541M | 762 | 1,836 |
| 2026-09-25 | 537M | 654 | 1,715 |
| 2026-09-26 | 382M | 628 | 1,891 |
| 2026-09-27 | 405M | 636 | 1,405 |
| 2026-09-28 | 94M | 254 | 371 |
| 2026-09-29 | 0 | 0 | 0 |
| 2026-09-30 | 0 | 0 | 0 |
| 2026-10-01 | 7.4M | 21 | 27 |
| 2026-10-02 | 32M | 171 | 215 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 10B | 11.8% |
| 2 | China | 9.9B | 11.1% |
| 3 | Brazil | 4.8B | 5.4% |
| 4 | Germany | 4B | 4.5% |
| 5 | Spain | 3.4B | 3.9% |
| 6 | Colombia | 3.3B | 3.7% |
| 7 | Argentina | 2.9B | 3.3% |
| 8 | Mexico | 2.7B | 3.1% |
| 9 | Indonesia | 2.7B | 3.1% |
| 10 | Russia | 2.6B | 3% |
| 11 | India | 2.5B | 2.8% |
| 12 | United Kingdom | 2.2B | 2.5% |
| 13 | France | 2.1B | 2.4% |
| 14 | Chile | 1.9B | 2.1% |
| 15 | Singapore | 1.7B | 1.9% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 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 |
| 43 | [gpt-5-nano](https://opencode.ai/data/openai/gpt-5-nano.md) | OpenAI | 289M |
| 44 | [test](https://opencode.ai/data/openai/test.md) | OpenAI | 218M |
| 45 | [exo](https://opencode.ai/data/unknown/exo.md) | - | 533K |
| 46 | [qwen3.8-27b](https://opencode.ai/data/alibaba/qwen3-8-27b.md) | Qwen | 62K |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| SWE-Bench Verified | 80.4 | resolved | https://qwen.ai/blog?id=qwen3.7 |
| SWE-Bench Pro | 60.6 | resolve rate | https://qwen.ai/blog?id=qwen3.7 |
| SWE-Bench Multilingual | 78.3 | resolve rate | https://qwen.ai/blog?id=qwen3.7 |
| Terminal-Bench | 69.7 | success rate | https://qwen.ai/blog?id=qwen3.7 |
| GPQA Diamond | 92.4 | accuracy | https://qwen.ai/blog?id=qwen3.7 |
| Humanity's Last Exam | 41.4 | accuracy | https://qwen.ai/blog?id=qwen3.7 |
| SciCode | 53.5 |  | https://qwen.ai/blog?id=qwen3.7 |
| MCP Atlas | 76.4 | success rate | https://qwen.ai/blog?id=qwen3.7 |
| NL2Repo | 47.2 |  | https://qwen.ai/blog?id=qwen3.7 |

## 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.