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Model details

Qwen3.8 Max 0902

Qwen3.8-Max-0902 is part of the broader Qwen family of large language models and is currently listed as active on the ZenMux routing platform, where it can be accessed under the slug qwen/qwen3.8-max-0902. ZenMux also references an alibaba serving option in its provider routing, positioning the model alongside other aggregator-delivered Qwen releases. For practitioners, this means the model is reachable through third-party inference gateways rather than solely through a first-party developer console, making it a candidate for teams that already standardize on multi-provider routing for capacity, latency, or geographic redundancy reasons.

A September 2026 TechTimes report frames Qwen3.8-Max-0902 as a model whose coding-task ranking climbed sharply within a short window, asserting that reinforcement-learning-based fine-tuning lifted it ahead of Claude Opus 5 on an unnamed coding evaluation, going from fourth to first place in roughly one week. Because the article does not cite a specific leaderboard, score, or methodology in the supplied excerpt, the benchmark claim should be treated as directional rather than definitive, but it does suggest the model's strongest practical fit is code generation and code-reasoning workloads where recent RL post-training has materially shifted the competitive landscape. Teams evaluating it for production coding assistance should validate its behavior on their own evaluation suites rather than relying on headline rankings alone.

EmpirioLabs AIqwen3-8-max-0902qwen

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EmpirioLabs AI
Model key
qwen3-8-max-0902
Release date
Aug 3, 2026
Last updated
Aug 3, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.00
Output token cost
$6.00

Limits

Output tokens
131,072 tokens
Context window
1,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Qwen3.8 Max 0902

EmpirioLabs AI

CoverageRelease Notes

DataNorth's changelog writeup confirms Alibaba's September 2, 2026 release of Qwen3.8-Max-0902 on QwenCloud as a dated snapshot of the Qwen3.8-Max flagship, with the focus on complex software projects, longer autonomous agent runs, and improved native vision understanding including chart reasoning and document parsing Developer-facing specifications from the page include a 128,000-token maximum output, a 256,000-token thinking budget, function calling support, built-in tools and structured output support, while the existing token billing, batch discounts and tool fees continue to apply. The update is characterized as a reproducible

EmpirioLabs AI

Coverage

TechTimes reports that Qwen3.8-Max-0902 reached first place on Arena.ai's Code Arena: WebDev leaderboard on September 2, 2026, scoring 1,691 points — a jump that erased a 37-point gap against Claude Opus 5 (Max) that had existed since the model's August 3 general availability. TechTimes frames "0902" not as a version i TechTimes also positions Qwen3.8-Max-0902 as the highest benchmark-to-price ratio on the Code Arena leaderboard at a blended $5 per million tokens, attributing the gains to a targeted reinforcement-learning post-training pass on coding and long-horizon agent work rather than architectural changes. The piece notes this

EmpirioLabs AI

Coverage

Aireiter's analysis flags a naming inconsistency for the 0902 update: while Qwen's official X announcement and EmpirioLabs expose the dated id qwen3.8-max-0902 (alias qwen3.8-max-2026-09-02), Alibaba Cloud Model Studio's documentation page, updated the same day, still labels the model qwen3.8-max with no separate 0902 The post confirms the update is a coding-and-cowork post-training revision and notes no matched 0902 benchmark, latency, reliability, or token-efficiency results are published, so the change is best evaluated through task behavior and API telemetry. It reiterates the underlying Qwen3.8-Max envelope as a 2.4T-parameter

EmpirioLabs AI

CoverageBenchmark

AI Release Tracker documents Qwen3.8-Max-0902 as released by Qwen on September 2, 2026, a 2.4T parameter model with a 1M token context window, arriving seven days after Qwen3.8-Flash-Next. The page enumerates tracked benchmarks including QwenSWEBench V2, CoWorkBench, DeepSWE 1.1, NL2Repo-Bench, Terminal-Bench 3.0, JobB On the individual leaderboards, Qwen3.8-Max-0902 posts the best published CoWorkBench score (76.1%) and the best published QwenSWEBench V2 score (70%) among all tracked models according to AI Release Tracker, while ranking second on NL2Repo-Bench (64.9%, behind DeepSeek-V4.1-Flash at 65.4%) and JobBench (64%, behind Mu

EmpirioLabs AI

CoverageBenchmark

On September 2, 2026, Alibaba released Qwen3.8-Max-0902, a post-training snapshot upgrade of the original Qwen3.8-Max focused on coding and long-horizon agent work. According to DataCamp, the architecture is unchanged from the base model — 2.4 trillion parameters with 95 billion active in a mixture-of-experts design, a The 0902 update delivered broad benchmark gains, with all eight tracked coding benchmarks improving over the prior Qwen3.8-Max. The most striking jumps were TerminalBench 3.0 (11.3 → 29.0) and ProgramBench Almost Solved (10.5 → 28.0), both more than doubling. DataCamp reports Qwen3.8-Max-0902 reached first place on Cod

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