benchmarks
Qwen3-Max is Alibaba's proprietary language model for text generation, coding, reasoning and tool-assisted workflows, available through Alibaba Cloud Model Studio. It is a hosted offering rather than an openly downloadable model, and production deployments require application-level controls for data handling and tool execution.
Benchmark results
Every figure links to where it was published. Compare like with like — harnesses and prompt setups differ between vendors.
| Benchmark | Score | Source |
|---|---|---|
| GPQA DiamondPhD-level science questions | 72.6%6 Oct 2025 | View |
| OTIS Mock AIME 2024-25Competition mathematics | 73.3%6 Oct 2025 | View |
| SimpleQA VerifiedShort factual questions (hallucination resistance) | 48.7%27 Aug 2026 | View |
| MATH Level 5 | 97.1%9 Oct 2025 | View |
| LMArena TextHuman preference Elo from blind chat votes (not a percentage) | 1439 Elo22 Oct 2026 | View |
Weighted mean of 4 verified benchmark results: GPQA Diamond 72.6%, OTIS Mock AIME 2024-25 73.3%, SimpleQA Verified 48.7%, MATH Level 5 97.1%.
Capabilities
- Text generation and conversational assistance.
- Code generation and software-development assistance.
- Reasoning across multi-step tasks.
- Tool calling for application-managed workflows.
- Long-context processing of documents and conversation histories.
What improved
- Not yet confirmed by public reporting.
Known flaws & limitations
- Hosted API access does not provide downloadable model weights for self-hosting.
- Generated answers and code require verification before consequential use.
- A model alias alone does not identify an immutable deployment; reproducible evaluations require a dated model identifier.
Risks, safety & security issues
- Sending sensitive information to a hosted API requires review of the applicable region, retention terms and access controls.
- Tool integrations require application-side authorization and validation before executing model-generated actions.
- Generated software requires security review before deployment.
Good fit for
- Conversational applications with human escalation and answer validation.
- Coding assistance backed by testing and code review.
- Long-document synthesis with source checking.
- Tool-assisted workflows with narrowly scoped permissions.
Poor fit for
- Offline or self-hosted deployments requiring downloadable weights.
- Unsupervised high-stakes decisions requiring guaranteed factual accuracy.
- Autonomous execution of consequential actions without authorization checks.
- Sensitive-data processing without an approved hosting and retention policy.
References
Profile last reviewed 10/24/2026 and re-checked automatically every few hours against the vendor's published documentation, papers and public leaderboards. Scores come from the cited benchmark results above — confirm limits and pricing against the provider's own documentation before building on them.