Qwen3.8 Max Tops Agentic Index, Dethroning Previous Leaders

Qwen3.8 Max now ranked as the best overall model by agentic index

Qwen3.8 Max Tops Agentic Index, Dethroning Previous Leaders

Artificial Analysis has updated its Agentic Index, and Qwen3.8 Max from Alibaba now ranks as the best overall model for agentic capabilities. The index, part of the Intelligence Index v4.1, aggregates scores from benchmarks like GDPval-AA v2 and τ³-Banking, which test real-world task performance and tool use. This shift marks a significant milestone, as Qwen3.8 Max surpasses models from OpenAI, Anthropic, and Google, signaling a new leader in the AI landscape.

Qwen3.8 Max now ranks as the best overall model by agentic index.
  1. jjcm

    China has caught up is the main takeaway here. The SOTA models are so close that it's really hard to compare them intelligence wise - you have to get a feel for them yourself and what works for you.

    What I'm really excited for is the 27B model. 3.6 is still the king of local, and if 3.8 makes the same improvements it could really legitimately make local viable as a default. I'd love to run a perpetual agent on 3.8 that's locally driven.

  2. d2p

    I clicked through and it showed Qwen at the top at 55.4 compared to 55.3 for Opus Max. I have a screenshot.

    Then I clicked away and back, and now it goes Qwen second, with 58.4, to Opus Max at top with 59.2.

    I have screenshots of both. The description above the chart is the same in boh cases:

    > Artificial Analysis Agentic Index

    > Represents the weighted average of agentic capabilities benchmarks in the Artificial Analysis Intelligence Index (GDPval-AA v2, ³-Banking)

    What happened? How can the scores change so much in a few seconds?

  3. eli

    I believe it. It's extremely good at troubleshooting. I gave Qwen and Kimi K3 the same annoying, complicated, intermittent bug to track down. Kimi did a bit better in understanding the existing code, but Qwen built some diagnostic tools and did an excellent statistical analysis on the log data. Qwen got way closer to the truth.

    I'm very much looking forward to their forthcoming smaller model Qwen 3.8 releases. A version that can easily run locally would be great.

  4. onomojo

    Any benchmark showing Opus 5 as the best just loses credibility for me. Anyone who's actually used Opus 5 daily knows what I'm talking about.

  5. seizethecheese

    Opus is still first in Intelligence Index followed by Fable, GPT 5.6, Kimi K3 then Qwen 3.8 max. https://artificialanalysis.ai/#intelligence

    Our leaderboard combines Arena ELO, AA Intelligence index, latency and speed and goes:

    #1 Opus 5

    #2 Kimi K3

    #3 Qwen3.8 Max

    #4 GPT 5.6 Sol

    Source: http://pellmell.ai/leaderboard.

    This jumps around a lot based on the top throughput and latency of whatever provider happens to be best at the moment.

  6. embedding-shape

    Strange that the page https://artificialanalysis.ai/agents/coding-agents doesn't even mention "Qwen" once if it's now the "best" according to one of their one index?

  7. theropost

    Anthropic is a bit nuts, I had $260 of credits on my max account for the extra usage the other night. It was expiring, so I figured I'll fire up an agentic swarm to deep dive and make some deep changes to some old cold bases.. literally 25 minutes or less, $260 burnt, it didn't get get into the implementation, just wrote a ton of useless plans for the most part. It really opened my eyes to what they expect to charge people.. wayyyy overpriced.

  8. petercooper

    Hopefully this boils down to the smaller versions they've teased. In my experience, Qwen models are the closest to the "less knowledge, more intelligence" (yes, the two are hugely correlated!) ideal some tool-dependent tasks need. Even the 3.5 2B can be easily prompted to always lean on tools and not jump to false conclusions (although its actual coding skills are abysmal, as you'd expect).

  9. syntaxing

    I am so excited for Qwen 3.8 27B. It’s a shame how slow prefill (~3-400) is on a strix halo but it’s such a good model for agentic tasks.

  10. SwellJoe

    I find that surprising.

    I've been trying it on several projects and have found it's pretty sloppy. It leaves stuff broken, doesn't reliably write tests to check its own work unless explicitly prompted, misunderstands the assignment, etc.

    It is smart and reasonably quick but not reliable.

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2026-08-06