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

> Qwen3.7 Plus ranked #24 by tokens across OpenCode last week, with 0.1% of tokens over the past two months. Qwen3.7 Plus costs $0.40 per 1M input tokens and $1.60 per 1M output tokens.

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

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

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 64K |
| Knowledge cutoff | 2025-04 |
| Release date | 2026-06-02 |
| Input modalities | text, image, video |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.40 | $1.60 | $0.08 | $0.50 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #24 |
| Tokens | 1.1T |
| Share of all tokens | 0.1% |
| Change vs previous 2 months | -46% |
| Unique users | 209K |
| Completed sessions | 867,903 |
| Average tokens per session | 1.2M |
| Average cost per session | $0.2024 |
| Total spend | $175,645 |
| Input tokens served from cache | 88.3% |
| Weekly retention | 58.5% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-08-08 | 21B | 4.9K | 13,885 |
| 2026-08-09 | 19B | 4.5K | 13,775 |
| 2026-08-10 | 27B | 6.7K | 17,435 |
| 2026-08-11 | 30B | 8.4K | 7,010 |
| 2026-08-12 | 36B | 6.3K | 110 |
| 2026-08-13 | 34B | 6.5K | 90 |
| 2026-08-14 | 31B | 6.5K | 110 |
| 2026-08-15 | 22B | 5.3K | 113 |
| 2026-08-16 | 14B | 5.7K | 55 |
| 2026-08-17 | 17B | 8.7K | 59 |
| 2026-08-18 | 29B | 6.9K | 10,093 |
| 2026-08-19 | 38B | 7.1K | 10,482 |
| 2026-08-20 | 32B | 6.4K | 11,779 |
| 2026-08-21 | 32B | 6.2K | 10,954 |
| 2026-08-22 | 22B | 4.2K | 7,861 |
| 2026-08-23 | 20B | 3.7K | 5,876 |
| 2026-08-24 | 33B | 5.9K | 11,062 |
| 2026-08-25 | 31B | 5.6K | 10,716 |
| 2026-08-26 | 32B | 5.1K | 10,250 |
| 2026-08-27 | 30B | 4.7K | 8,551 |
| 2026-08-28 | 25B | 3.9K | 7,481 |
| 2026-08-29 | 14B | 2.7K | 5,562 |
| 2026-08-30 | 13B | 2.5K | 4,995 |
| 2026-08-31 | 22B | 3.9K | 8,940 |
| 2026-09-01 | 23B | 3.8K | 7,906 |
| 2026-09-02 | 21B | 3.5K | 13,446 |
| 2026-09-03 | 19B | 3.4K | 7,692 |
| 2026-09-04 | 16B | 3K | 7,698 |
| 2026-09-05 | 11B | 2.1K | 6,457 |
| 2026-09-06 | 11B | 2K | 5,350 |
| 2026-09-07 | 18B | 2.8K | 12,085 |
| 2026-09-08 | 17B | 2.6K | 21,669 |
| 2026-09-09 | 19B | 2.6K | 30,072 |
| 2026-09-10 | 17B | 3K | 28,849 |
| 2026-09-11 | 13B | 2.5K | 25,956 |
| 2026-09-12 | 9.1B | 1.7K | 27,669 |
| 2026-09-13 | 9.5B | 1.7K | 29,631 |
| 2026-09-14 | 16B | 2.7K | 33,774 |
| 2026-09-15 | 17B | 2.6K | 40,268 |
| 2026-09-16 | 14B | 2.6K | 56,136 |
| 2026-09-17 | 15B | 2.7K | 42,049 |
| 2026-09-18 | 13B | 2.5K | 39,969 |
| 2026-09-19 | 11B | 2K | 24,634 |
| 2026-09-20 | 12B | 1.9K | 20,947 |
| 2026-09-21 | 16B | 2.7K | 21,931 |
| 2026-09-22 | 15B | 2.6K | 20,733 |
| 2026-09-23 | 13B | 2.2K | 17,065 |
| 2026-09-24 | 13B | 2.1K | 15,621 |
| 2026-09-25 | 11B | 1.8K | 11,594 |
| 2026-09-26 | 8.6B | 1.5K | 14,735 |
| 2026-09-27 | 9.2B | 1.5K | 12,490 |
| 2026-09-28 | 15B | 2.4K | 23,603 |
| 2026-09-29 | 14B | 2.4K | 22,731 |
| 2026-09-30 | 14B | 2.2K | 21,205 |
| 2026-10-01 | 13B | 2K | 19,749 |
| 2026-10-02 | 2.7B | 846 | 6,945 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | China | 120B | 11.2% |
| 2 | United States | 100B | 9.3% |
| 3 | Spain | 57B | 5.4% |
| 4 | Brazil | 52B | 4.9% |
| 5 | Germany | 52B | 4.8% |
| 6 | Colombia | 48B | 4.5% |
| 7 | Russia | 39B | 3.6% |
| 8 | Indonesia | 34B | 3.2% |
| 9 | Argentina | 33B | 3.1% |
| 10 | Netherlands | 32B | 3% |
| 11 | India | 27B | 2.5% |
| 12 | Mexico | 27B | 2.5% |
| 13 | France | 24B | 2.2% |
| 14 | Japan | 23B | 2.2% |
| 15 | Hong Kong | 21B | 2% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 20 | [mai-experimental-test](https://opencode.ai/data/unknown/mai-experimental-test.md) | - | 180B |
| 21 | [kimi-k2.7-code](https://opencode.ai/data/moonshotai/kimi-k2-7-code.md) | Moonshot | 136B |
| 22 | [glm-5.3](https://opencode.ai/data/zhipuai/glm-5-3.md) | Zhipu | 95B |
| 23 | [fledge-alpha](https://opencode.ai/data/unknown/fledge-alpha.md) | - | 90B |
| 24 | [qwen3.7-plus](https://opencode.ai/data/alibaba/qwen3-7-plus.md) | Qwen | 76B |
| 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 |

## 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.