Is Qwen 3.8 Max 0902 available with Zero Data Retention on Elosia?

Qwen 3.8 Max 0902 runs on Elosia's standard backend; ZDR is available on many other models in the catalog.

How much does Qwen 3.8 Max 0902 cost on Elosia?

Qwen 3.8 Max 0902 is billed by usage at $2 per 1M input tokens and $6 per 1M output tokens, within your Elosia plan.

What is Qwen 3.8 Max 0902's context window?

Qwen 3.8 Max 0902 supports a context window of up to 1,000,000 tokens.

Is Qwen 3.8 Max 0902 hosted in the EU?

Qwen 3.8 Max 0902 is not available on Elosia's EU-hosted (EdenAI) backend; it runs on the default backend.

When should you choose Qwen 3.8 Max 0902?

Qwen 3.8 Max 0902 is a flagship model, best for the most demanding reasoning, agentic and long-context tasks.

Qwen 3.8 Max 0902

QwenFlagship

ThinkingTool UseVisionStructured Output

About this model

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...

Performance Tier

Flagship

Qwen 3.8 Max 0902 is a flagship model from Qwen : the most capable in their lineup.

Best-in-class model from this provider. Highest performance across benchmarks, ideal for demanding tasks.

Pricing

This model is included in Elosia plans

Moderate

Moderate cost. A balanced choice for regular use without constant cap watching.

Type	per 1M tokens
Input (prompt)	$2.00
Output (completion)	$6.00
Cache read	$0.250
Cache write	$2.50

Capabilities

Context Length1.0M

Max Output Tokens131K

TokenizerQwen

Inputtext, image, video

Outputtext

Release DateSeptember 3, 2026

Benchmarks

General Intelligence

MMLU

Not reported

GPQA Diamond

92.8%

Mathematics

MATH-500

Not reported

Programming

HumanEval

Not reported

SWE-bench Verified

Not reported

Reasoning

IFEval

Not reported

Humanity's Last Exam

43.1%

Where does Qwen 3.8 Max 0902 stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingAnalysisResearchGeneral ChatData Extraction

Strengths

2.4T-parameter mixture of experts with about 95B active per token, further post-trained for coding and collaborative agent work
Built for engineering-scale software projects and long-horizon autonomous development, with multi-tool orchestration
Native video input alongside text and images, with a 1M-token context window and up to 128K of output
Vision tuned for chart reasoning and document parsing
Adjustable reasoning effort, from minimal to extra-high

Limitations

Qwen publishes no GPQA Diamond or Humanity's Last Exam score for this snapshot; the ones shown come from third-party tests
Reasoning cannot be turned off through the API and defaults to the highest effort, which adds latency and tokens on simple calls
The weights of this snapshot are not published; the line's open-weight release covers a text-only base checkpoint
No parallel tool calls exposed