Is Qwen 3.7 Max available with Zero Data Retention on Elosia?

Qwen 3.7 Max runs on Elosia's standard backend; ZDR is available on many other models in the catalog.

How much does Qwen 3.7 Max cost on Elosia?

Qwen 3.7 Max is billed by usage at $1.475 per 1M input tokens and $4.425 per 1M output tokens, within your Elosia plan.

What is Qwen 3.7 Max's context window?

Qwen 3.7 Max supports a context window of up to 1,000,000 tokens.

Is Qwen 3.7 Max hosted in the EU?

Yes, Qwen 3.7 Max is available on Elosia's EU-hosted (EdenAI) backend for enterprise organizations.

When should you choose Qwen 3.7 Max?

Qwen 3.7 Max is a flagship model, best for the most demanding reasoning, agentic and long-context tasks.

Qwen 3.7 Max

QwenFlagship

ThinkingTool UseStructured Output

About this model

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...

Performance Tier

Flagship

Qwen 3.7 Max 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)	$1.48
Output (completion)	$4.42
Cache read	$0.295
Cache write	$1.84

Capabilities

Context Length1.0M

Max Output Tokens66K

TokenizerQwen

Inputtext

Outputtext

Release DateMay 21, 2026

Benchmarks

General Intelligence

MMLU

Not reported

GPQA Diamond

92.4%

Mathematics

MATH-500

Not reported

AIME 2025

93.3%

Programming

HumanEval

Not reported

SWE-bench Verified

80.4%

SWE-bench Multilingual

78.3%

Reasoning

IFEval

Not reported

Humanity's Last Exam

41.4%

Agentic

SWE-bench Pro

60.6%

Terminal-Bench 2.0

69.7%

Where does Qwen 3.7 Max stand?

Compare its performance index against every other model.

View the performance leaderboard

Recommended Use Cases

CodingAnalysisResearchGeneral ChatTranslation

Strengths

Alibaba's most capable agent model — leads SWE-bench Verified (80.4%) on par with Claude Opus 4.6
Top-tier scientific reasoning (GPQA Diamond 92.4%) — ahead of Claude Opus 4.6 (91.3%)
Strong agentic coding across languages (SWE-bench Multilingual 78.3%, SWE-bench Pro 60.6%)
Leads Terminal-Bench 2.0 (69.7%) for long-horizon command-line workflows
Built-in thinking mode (enable_thinking / preserve_thinking) for chain-of-thought reasoning

Limitations

Alibaba's evaluation focuses on agentic and coding benchmarks — MMLU, MATH-500, HumanEval and LiveCodeBench are not part of the reported suite
Native context advertised at 256K tokens (1M only mentioned for some configurations)
Premium pricing among Qwen models ($2.50 / $7.50 per M tokens)