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Qwen3.8 Max 0902

Qwen3.8 Max 0902 is a dated, post-trained snapshot from Alibaba’s Qwen team, retaining the family’s sparse mixture-of-experts architecture with 2.4 trillion total parameters and 95 billion active parameters. Its training emphasis shifted toward coding and “cowork” tasks, including complex engineering projects, multi-tool orchestration, and longer autonomous workflows, while also targeting chart reasoning, document parsing, and multimodal analysis.

The snapshot is best suited to repository comprehension, structured professional work, and tool-assisted tasks where its broad context and multimodal understanding can be applied over extended materials. Published comparisons show substantial gains over the earlier snapshot on terminal coding, software replication, and job-task evaluations, but the results are not uniformly dominant: competing systems still lead several long-horizon coding and office-work measures. Its strongest practical fit is therefore as a versatile agentic model for iterative coding and document workflows, with workload-specific evaluation still important.

Eden AIqwen/qwen3.8-max-0902qwen

Quick Info

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Provider
Eden AI
Model key
qwen/qwen3.8-max-0902
Release date
Sep 2, 2026
Last updated
Sep 2, 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

Eden AI

Coverage

TechTimes, citing TechNode, reports that Qwen3.8-Max climbed to first place on Arena.ai's Code Arena: WebDev leaderboard on September 2, 2026 via the Qwen3.8-Max-0902 date-suffix snapshot — a reinforcement learning post-training pass rather than a new architecture, with the model retaining its 2.4-trillion-parameter Mo The article frames the upgrade within Alibaba's emerging convention of date-stamped post-training snapshots instead of version increments, referencing the August 26 Qwen3.8-Flash-Next open-weight preview as a parallel release pattern within the same wave. Beyond the benchmark wins, the piece notes that the underlying C

Eden AI

Coverage

On September 1, 2026 (10pm ET), Alibaba's Qwen team released Qwen3.8-Max-0902 (alias qwen3.8-max-2026-09-02) on QwenCloud as an in-place post-training upgrade to the existing Qwen3.8-Max flagship, targeting coding and "cowork" agent work while keeping the 2.4T-parameter MoE base, 1M-token context window, thinking mode, According to the excerpt, on the benchmarks Qwen chose to publish, Claude Opus 5 still leads on TerminalBench, DeepSWE, NL2Repo, ProgramBench, SWE-Marathon, CoWorkBench, JobBench, and Toolathlon, while Qwen3.8-Max-0902 takes the lead on repository code understanding, Automation Bench, two visual-reasoning benchmarks, a

Eden AI

Coverage

AireIter documents an important API-contract gap for Qwen3.8-Max-0902: although Qwen's September 2 announcement uses the dated suffix qwen3.8-max-0902, Alibaba Cloud Model Studio's documentation was updated September 2, 2026 but still labels the model simply as qwen3.8-max, with no separate qwen3.8-max-0902 row, benchm For developers this means Qwen3.8-Max-0902 should be treated as a live API revision of the qwen3.8-max family rather than a separately documented SKU, with no matched benchmark, latency, reliability, or token-efficiency results published for the 0902 snapshot specifically. The recommendation is to pin to whatever ident

Eden AI

CoverageBenchmark

DataCamp confirms that on September 2, 2026, Alibaba released Qwen3.8-Max-0902 as a post-training upgrade to Qwen3.8-Max with the same 2.4-trillion-parameter architecture, 1M-token context window, and unchanged $2 per million input / $6 per million output pricing, focused on coding and long-horizon agent work. All eigh The excerpt reports that Qwen3.8-Max-0902 now ranks first overall on Arena Code Arena WebDev with 1,691 points, three points above Claude Opus 5 Max (1,687) and 22 above the previous Qwen3.8-Max (1,669), and holds the top Pareto position at a blended $5 per million tokens. Against Claude Opus 5 it leads on three coding

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