Alibaba has 2 models in The AI Leaderboard directory: Qwen 3.8, Qwen3.7-Max. This provider hub compares their verified availability, licensing, context windows, pricing references and intended uses, with direct links to every model guide.
Quick answer: Qwen 3.8 is Alibaba's highest-ranked model here at #8 with an Overall score of 78.5. Use the lineup table below to compare it with the provider’s other current, specialist, open-weight or migration-reference models.
Alibaba model lineup at a glance
Metric | Current directory value |
|---|---|
Models covered | 2 |
Currently ranked | 1 |
Open-weight models | 1 |
Restricted models | 0 |
Legacy or migration references | 0 |
Highest-ranked model | Qwen 3.8, #8, Overall 78.5 |
Last verified | September 2, 2026 |
Complete Alibaba model directory
Model names in this table link directly to their complete guides. Status and pricing can change, so confirm the active endpoint and provider terms before procurement or migration.
Model | Status | License | Context | Best fit |
|---|---|---|---|---|
Available; open weights | Open weights | 1M tokens | Open-weight coding, multimodal agents and deployment control | |
Available in preview | Proprietary hosted model | 1 million tokens | hosted multimodal reasoning, coding and long-context agents |
How the Alibaba models differ
Model | Directory role | Modalities | Maximum output | Access |
|---|---|---|---|---|
Qwen 3.8 | Open weights | Text and image input; text output | 65,536 tokens | See the guide for current access routes |
Qwen3.7-Max | Preview | Text, image and video input; text output | 65,536 tokens | Qwen Studio and QwenCloud API |
The labels above describe access and lifecycle, not a hidden capability ranking. Only 1 Alibaba model in the current top eight receive a rank on this site. Other guides remain unranked until comparable evidence is available.
Alibaba model pricing
Model | Pricing reference | Cost caveat |
|---|---|---|
Qwen 3.8 | $2 input / $6 output per million tokens | Self-hosting still incurs infrastructure and operations costs |
Qwen3.7-Max | $2.50 input and $7.50 output per million tokens in the published QwenCloud tier | Caching, tools, long context and regional rates may differ |
Token price is not cost per accepted result. Measure retries, tool calls, latency, infrastructure and reviewer time on the same task set.
Which Alibaba model should you choose?
Requirement | Starting point | Why |
|---|---|---|
Highest current rank | Qwen 3.8 | Highest Alibaba placement in the current top eight |
Open weights or self-hosting | Qwen 3.8 | Review the exact license, checkpoint and hardware needs |
Restricted specialist work | No restricted model in this provider directory | Use generally available models and least-privilege controls |
Migration or reproduction | Qwen3.7-Max | Compare current versions using pinned snapshots |
Lowest operational cost | Measure two or three eligible models | Headline token prices omit retries, tools, caching and human review |
Alibaba models, explained
Qwen 3.8
Qwen 3.8 was released August 10, 2026. It is listed as available; open weights with open weights. The documented context window is 1M tokens, and the maximum output is 65,536 tokens.
- Best fit: Open-weight coding, multimodal agents and deployment control.
- Modalities: Text and image input; text output.
- Access: See the guide for current access routes.
- Pricing reference: $2 input / $6 output per million tokens.
- Current ranking: #8 with an Overall score of 78.5.
Read the complete Qwen 3.8 guide for benchmarks, limitations, official sources and an evaluation framework.
Qwen3.7-Max
Qwen3.7-Max was released 2026 preview. It is listed as available in preview with proprietary hosted model. The documented context window is 1 million tokens, and the maximum output is 65,536 tokens.
- Best fit: hosted multimodal reasoning, coding and long-context agents.
- Modalities: Text, image and video input; text output.
- Access: Qwen Studio and QwenCloud API.
- Pricing reference: $2.50 input and $7.50 output per million tokens in the published QwenCloud tier.
Read the complete Qwen3.7-Max guide for benchmarks, limitations, official sources and an evaluation framework.
How to evaluate Alibaba models
Shortlist the Alibaba models that meet your access, licensing and modality requirements. Freeze 20 to 50 representative tasks, then give each candidate the same prompts, tools, context, reasoning budget and retry limits. Record the exact model identifier because provider aliases can change.
Measure | Record | Decision use |
|---|---|---|
Task completion | Pass rate and rubric score | Establish whether the model meets the acceptance threshold |
Reliability | Repeated-run variance and recovery behavior | Avoid choosing from one lucky result |
Quality | Factuality, instruction following and reviewer acceptance | Separate polished output from correct output |
Tool use | Wrong calls, retries, permission errors and unsafe actions | Evaluate the model and agent harness together |
Efficiency | Wall time, tokens, caching, tools and review labor | Calculate cost per accepted result |
Governance | Retention, training, regional processing and audit logs | Confirm the deployment fits policy requirements |
Availability, versions and lifecycle
Alibaba may expose different snapshots, effort settings, products and partner integrations under similar labels. Treat every model name as incomplete without an exact endpoint or checkpoint. Re-run regression tests after any model, system prompt, retrieval, tool or permission change.
- Available means a documented access route exists, not that every region or account has access.
- Preview models can change behavior, price or retirement dates before general availability.
- Open weights require an exact license and checkpoint review; “open” does not guarantee open training data or low operating cost.
- Restricted models require separate eligibility, safeguards and data-handling review.
- Legacy models remain useful for migration and reproduction but should not be the default for a new deployment.
Sources and update policy
Official Alibaba model documentation is the provider-level starting point. Each linked model guide cites its own first-party launch page, model card, pricing reference and safety documentation.
Compare this provider with the complete Best AI Models directory.
Last verified September 2, 2026. The hub should be updated when the provider launches, retires, renames or reprices a model, changes context or output limits, alters licensing, or modifies regional availability.
Frequently asked questions
How many Alibaba models are covered?
This hub covers 2: Qwen 3.8, Qwen3.7-Max. Every model has a dedicated guide linked from the directory table and profile sections.
What is the best Alibaba model?
Qwen 3.8 is Alibaba's highest-ranked model in the current AI Leaderboard, at number 8 with an Overall score of 78.5. Workload-specific testing can still favor another model.
Does Alibaba offer open weights?
Yes. The directory identifies Qwen 3.8 as open-weight options. Review the exact license, downloadable artifact and serving requirements before deployment.
How current is the pricing?
Pricing references were verified September 2, 2026 from first-party documentation summarized in each model guide. Always recheck the provider before budgeting because cache, batch, long-context, tool and regional rates can change.
Should every Alibaba model be tested?
No. Remove models that fail access, license, modality, context, latency or governance requirements first. Test the smallest credible shortlist on representative work.