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    AI

    Qwen AI statistics 2026

    Dominic ReignsBy Dominic ReignsSeptember 30, 2026No Comments8 Mins Read
    Qwen AI statistics, including model size, benchmarks, pricing, downloads, user growth, and Alibaba results in 2026.

    Hugging Face counts 151,448 Qwen-based derivative models on its Hub. QuestMobile puts the Qwen app at 167 million monthly active users in China.

    Those figures measure different things, and these Qwen AI statistics keep them apart. The post covers Qwen3.8-Max specs and benchmarks, API pricing, open-model adoption, app usage and Alibaba’s June-quarter 2026 results.

    Qwen AI Statistics

    2.4TQwen3.8-Max parameters, 95B active per token (August 2026)
    151,448Qwen-based derivative models on Hugging Face (January–August 2026)
    300M+Consumer Qwen monthly active users across all platforms (February 2026)
    $2 / $6qwen3.8-max price per 1M input / output tokens, Singapore (September 2026)
    RMB13,861MAI Labs and Applications adjusted EBITA loss (quarter ended June 30, 2026)

    2.4 Trillion Parameters: Qwen AI’s 2026 Flagship

    Alibaba launched Qwen3.8-Max in August 2026, within three months of the prior version. The open weights, Qwen3.8-2.4T-A95B, went live on Hugging Face on August 12, 2026.

    The mixture-of-experts model activates 95 billion of its 2.4 trillion parameters per token.

    SpecificationQwen3.8-2.4T-A95B
    Total parameters2.4 trillion
    Activated parameters95 billion
    Experts512 (10 routed + 1 shared activated)
    Layers92
    Hidden dimension8,192
    Context length262,144 native, extensible to 1,010,000 tokens

    Source: Qwen3.8-2.4T-A95B model card, Hugging Face, August 2026

    The open checkpoint is text-only and cannot turn thinking off. The hosted Qwen3.8-Max adds vision input, a non-thinking mode, built-in tools and a 1M-token default context.

    Qwen Open-Weight Releases in 2026

    DateRelease
    Feb 16, 2026Qwen3.5, starting with a 397B-A17B MoE model
    Feb 24, 2026Qwen3.5-122B-A10B, Qwen3.5-35B-A3B, Qwen3.5-27B
    Mar 2, 2026Qwen3.5-9B, 4B, 2B and 0.8B
    Apr 16, 2026Qwen3.6-35B-A3B
    Apr 22, 2026Qwen3.6-27B
    Aug 12, 2026Qwen3.8-2.4T-A95B

    Source: QwenLM/Qwen3.8 GitHub repository news log, February–August 2026

    How Does Qwen3.8-Max Score Against Claude?

    Qwen3.8-Max beats Claude Opus 4.8 on four of the six benchmarks below, based on the Qwen team’s own results table. Claude Fable 5 leads Qwen3.8-Max on SWE-bench Pro, FrontierSWE and HLE.

    BenchmarkQwen3.7-MaxQwen3.8-MaxClaude Opus 4.8Claude Fable 5
    Terminal Bench 2.174.586.684.684.6
    SWE-bench Pro60.667.769.280.0
    FrontierSWE40.773.570.088.8
    PaperBench64.893.080.388.8
    GPQA Diamond92.492.692.092.6
    HLE41.443.645.753.3

    Source: Qwen3.8-2.4T-A95B model card (Qwen team, self-reported), August 2026

    Qwen3.8-Max leads Fable 5 on PaperBench, 93.0 to 88.8, and on Terminal Bench 2.1, 86.6 to 84.6. The two tie on GPQA Diamond at 92.6.

    Between versions, FrontierSWE moved from 40.7 to 73.5 while GPQA Diamond moved from 92.4 to 92.6. The model card notes that Fable 5 results may involve fallbacks.

    Opus 4.8 and Fable 5 are Anthropic models, and their traffic and revenue data sit in these Claude usage trends.

    Earlier open code models were scored on older tests such as HumanEval, as these StarCoder benchmark figures show.

    Qwen AI Pricing Statistics: $2 In, $6 Out

    ModelInput tokens per requestInput (per 1M)Output (per 1M)
    qwen3.8-max0–1M26
    qwen3.8-max-09020–1M26
    qwen3.7-max0–1M2.57.5
    qwen3.6-max-preview0–128K1.37.8
    qwen3-max0–32K1.26
    qwen3-max32K–128K2.412
    qwen3-max128K–256K315
    qwen3.7-plus0–256K0.41.6

    Source: Alibaba Cloud Model Studio, Model inference pricing (Singapore standard list prices), updated September 24, 2026

    The qwen3.8-max model charges one rate across its full 1M-token window. By contrast, qwen3-max steps from $1.2 to $2.4 to $3 per million input tokens as requests grow.

    Global-scope deployments in Virginia, Frankfurt, Tokyo and Hong Kong list qwen3.8-max at $1.65 input and $4.951 output. Batch calls, where supported, cost 50% of real-time prices.

    A limited-time 20% discount applies to qwen3.7-plus on top of its $0.4 and $1.6 list prices.

    Is Qwen the Most Fine-Tuned Open Model on Hugging Face?

    Hugging Face’s Summer 2026 report calls Qwen the community’s base model. Qwen-based models account for 151,448 derivatives on the Hub, against 82,506 for Google.

    New Qwen derivative repositories arrived at roughly 180–210 a day through the first seven months of 2026. Outside developers built most of them: of 28,531 GGUF conversions of Qwen models, Qwen published 54.

    Qwen GGUF files drew 39.6 million downloads a month, against 20.8 million for Gemma and 7.5 million for Llama. Llama-derived GGUF repositories slightly outnumber Qwen’s, per the report.

    Across repositories with declared parameter counts, Qwen logged 2,045 million downloads in the 2026 window, against 37 million for Moonshot.

    Small checkpoints carry most Hub volume, with models under 1B taking 83% of all-time downloads among those declaring a size, a split also tracked in these small language model adoption statistics.

    Source: Hugging Face, State of Open Models: Summer 2026 Observations, January–August 2026

    Qwen vs Llama in the ATOM Report

    Model familyCumulative downloads, Sept 2025Cumulative downloads, March 2026
    Qwen325.4M942.1M
    Llama323.7M476.0M

    Source: The ATOM Report (arXiv 2604.07190, v2), Hugging Face downloads of about 1,500 mainline open models, September 2025 and March 2026

    Qwen’s share of new fine-tunes and adaptations rose from 1% in January 2024 to 69% by February 2026, per the same report.

    Meta’s share peaked at 44% in August 2024, then fell to 11%; more Llama data sits in these Meta AI usage statistics.

    Alibaba’s December-quarter results gave a larger figure: more than 1 billion cumulative Qwen downloads on Hugging Face as of January 21, 2026. ATOM counts only mainline models, so the two totals cover different scopes.

    167 Million Monthly Users: Qwen App Adoption in China

    Alibaba says consumer-facing Qwen passed 300 million monthly active users across all platforms in February 2026. QuestMobile measures a narrower scope: the Qwen mobile app in China.

    Source: Alibaba Group, December Quarter 2025 Results (released March 19, 2026), February 2026

    AI-native appMAU, March 2026MAU, June 2026
    Doubao345M382M
    Qwen166M167M
    DeepSeek127M129M

    Source: QuestMobile, Q1 2026 AI Application Insight (March 2026) and 2026 AI Application Market Mid-Year Report (June 2026)

    QuestMobile recorded 5792.9% year-over-year growth for Qwen in its mid-year report. DeepSeek ranked third at 129 million; that rival’s figures are in these DeepSeek statistics.

    Qwen’s citations of Bilibili content reached 1.705 million users on phone questions, 1.315 million on finance and 1.205 million on travel, per the same QuestMobile report.

    Alibaba also tracks shopping through the app’s agents. About 140 million users had a first AI-driven shopping experience in Qwen app by the end of February 2026, and 250 million had since launch as of the August 20, 2026 results.

    Source: Alibaba Group quarterly results, February 2026 and June Quarter 2026

    Alibaba’s Qwen AI Statistics on Revenue and Losses

    Revenue from AI Cloud and Compute Services reached RMB48,437 million (US$7,139 million) in the quarter ended June 30, 2026, up 45%. AI-related product revenue hit RMB12,376 million, a twelfth straight quarter of triple-digit year-over-year growth.

    Metric (RMB million)Q ended June 30, 2025Q ended June 30, 2026Reported YoY
    AI Cloud and Compute Services revenue33,41848,43745%
    AI Cloud and Compute Services adjusted EBITA2,4195,628133%
    AI Labs and Applications revenue2,8823,33816%
    AI Labs and Applications adjusted EBITA(3,224)(13,861)(330)%
    Capital expenditures38,67667,67875%

    Source: Alibaba Group, June Quarter 2026 Results (Form 6-K), quarter ended June 30, 2026

    The AI Labs and Applications segment groups AI model labs, Qwen Consumer Business Group and QwenWork. Alibaba attributes its wider loss to increased AI investment and higher inference cost for the Qwen app.

    Capex drivers cited by Alibaba include procurement cycles, CPU-compute capacity for AI agents and higher chip component prices, a supply side covered in these AI hardware market share figures.

    38.1%Alibaba Cloud, China AI cloud market, 2025

    Omdia’s “AI Cloud Market: China – 2025” ranked Alibaba Cloud first with a 38.1% share. Buyer-side budgets appear in these enterprise AI spending statistics.

    Source: Omdia, AI Cloud Market: China – 2025, as cited in Alibaba Group June Quarter 2026 Results

    Where the Qwen AI Numbers Fall Short

    Every Qwen3.8-Max score above comes from the Qwen team’s table, and harnesses differ by model. Qwen tested Terminal Bench 2.1 with Claude Code; other models show their best published score across harnesses.

    Licensing tightened at the top end. Hugging Face notes that Qwen 3.8 2.4T added some non-commercial restrictions and revenue-share requirements.

    Hub downloads leave out API usage, private deployments and other channels. Qwen also publishes weights on ModelScope, which Hub counts do not include.

    User counts differ by scope. Alibaba’s 300 million covers all consumer platforms, while QuestMobile’s 167 million covers the Qwen app in China.

    Source: Hugging Face, State of Open Models: Summer 2026; Qwen3.8-2.4T-A95B model card, August 2026

    FAQs

    How many people use Qwen AI?

    Alibaba says consumer-facing Qwen passed 300 million monthly active users across all platforms in February 2026. QuestMobile counted 167 million monthly active users for the Qwen app in China in June 2026.

    Is Qwen AI open source?

    Many Qwen models ship open weights under Apache 2.0, per Hugging Face. The Qwen3.8 2.4T weights use a qwen3.8-max license that adds some non-commercial restrictions and revenue-share requirements.

    How much does the Qwen API cost?

    On Alibaba Cloud’s Singapore endpoint, qwen3.8-max lists at $2 per million input tokens and $6 per million output tokens as of September 24, 2026. Global-scope deployments list at $1.65 and $4.951.

    Is Qwen more popular than DeepSeek?

    In China’s app market, yes by QuestMobile’s count. Qwen had 167 million monthly active users in June 2026, against 129 million for DeepSeek. ByteDance’s Doubao led with 382 million.

    Is the Qwen3.8 model discussed on Reddit the same as the Qwen3.8-Max API?

    No. Qwen’s model card says the open Qwen3.8-2.4T-A95B checkpoint is text-only and always thinks. The hosted Qwen3.8-Max adds vision input, a non-thinking mode, built-in tools and a 1M-token default context.

    Sources

    https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B

    https://www.alibabacloud.com/help/en/model-studio/model-pricing

    https://huggingface.co/blog/state-of-open-models-summer-2026

    https://www.sec.gov/Archives/edgar/data/1577552/000110465926099220/tm2623667d1_ex99-1.htm

    https://commandlinux.com/statistics/open-source-ai-model-downloads

    Dominic Reigns
    • Website
    • Instagram

    As a senior analyst, I benchmark and review gadgets and PC components, including desktop processors, GPUs, monitors, and storage solutions on Aboutchromebooks.com. Outside of work, I enjoy skating and putting my culinary training to use by cooking for friends.

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