Qwen 3.8 Max
Alibaba's 2.4T MoE flagship — vision, reasoning, and code-optimized with 1M context and private execution on Venice.
Get API keyWhat is Qwen 3.8 Max?
Qwen 3.8 Max is Alibaba's flagship 2.4-trillion-parameter mixture-of-experts (MoE) multimodal model, released in August 2026. It supports vision, function calling, reasoning, web search, and code optimization, with a 1M-token context window and up to 131K output tokens, designed for agentic and enterprise workloads.
Use Qwen 3.8 Max privately on Venice
On Venice, Qwen 3.8 Max runs with anonymized privacy — your prompts are never stored or used for training. This enables permissionless, sovereign access to a top-tier proprietary model while maintaining enterprise-grade data hygiene. You get full tool use, vision, and long-context reasoning without surveillance.
What can Qwen 3.8 Max do?
- •Top-tier performance on agentic benchmarks like OSWorld-Verified (86.1) and PaperBench, surpassing Fable 5 and GPT-5.6 Sol Max in reported results.
- •Massive 1M-token context window and 131K max output, ideal for long-horizon tasks, code generation, and document processing.
- •Multimodal input support — accepts images, video, and text with strong vision and reasoning integration.
- •Highly cost-efficient for a model of its class, especially for output-heavy workloads.
- •Optimized for code, tool use, and autonomous agent workflows with reliable function calling and web search.
- •Not open-source or self-hostable — weights are proprietary and not currently available for on-premise deployment.
- •Benchmark results depend heavily on extended time budgets (up to 12 hours), which may not reflect real-time use cases.
- •No end-to-end encryption or TEE execution on Venice — privacy is anonymized but not fully sovereign at the hardware level.
Qwen 3.8 Max capabilities
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
How to use Qwen 3.8 Max via API
Venice exposes an OpenAI-compatible API. Swap your base URL and call qwen-3-8-max.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen-3-8-max",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Specifications
Pricing
Billed per token on Venice: $2.50 per 1M input tokens and $7.50 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Qwen 3.8 Max vs alternatives
| Model | Max output | Vision | Open weights | Price (Venice) |
|---|---|---|---|---|
| Qwen 3.8 Max | 131K | Yes | No | $2.50 in · $7.50 out / 1M |
| Claude Fable 5 | 128K | Yes | No | $12 in · $60 out / 1M |
| Claude Opus 5 | 128K | Yes | No | $6 in · $30 out / 1M |
| DeepSeek V4 Flash 0731 | 128K | No | No | $0.17 in · $0.35 out / 1M |
Alibaba's flagship MoE model with top-tier agentic performance and 1M context.
What is Qwen 3.8 Max good for?
- •Autonomous software engineering agents that use OS-level tools and code editors.
- •Long-document analysis, summarization, and cross-reference tasks using the 1M context.
- •Multimodal research workflows combining vision, web search, and reasoning.
- •Enterprise automation pipelines requiring function calling and code generation.
- •High-fidelity agent simulations with video and image inputs.
Prompting tips
- •Use explicit step-by-step reasoning in prompts to leverage its strong reasoning mode.
- •Include images or screenshots when asking for visual analysis — it handles multiple inputs well.
- •For code tasks, specify file paths and expected outputs to improve tool use accuracy.
- •Break long tasks into phases to stay within 131K output limits while maximizing context use.
- •Use web search when up-to-date information is critical — it integrates results effectively.
Version history
Predecessor model with smaller context and lower benchmark scores.
CurrentCurrent flagship — 2.4T MoE, 1M context, vision, and code optimization.
Frequently asked questions
Qwen 3.8 Max is Alibaba's flagship 2.4-trillion-parameter mixture-of-experts (MoE) multimodal AI model, released in August 2026. It supports vision, function calling, reasoning, web search, and code generation with a 1M-token context window, designed for advanced agent and enterprise workflows.
On Venice, Qwen 3.8 Max costs $2.50 per 1M input tokens and $7.50 per 1M output tokens. Cached input is available at $0.31 per 1M tokens, making repeated access more efficient.
No. Qwen 3.8 Max is a proprietary model developed by Alibaba. While open weights are expected to be released in the near future, the model is currently closed and not available for self-hosting.
Yes. Qwen 3.8 Max supports image and video input, enabling multimodal reasoning and analysis. It can process multiple images in a single prompt and integrate visual data into its responses.
Yes. Qwen 3.8 Max supports function calling and tool use, allowing it to interact with external systems, execute code, and perform actions as part of an autonomous agent workflow.
Qwen 3.8 Max has a 1,000,000-token context window, one of the largest available, enabling it to process extremely long documents, codebases, or conversation histories in a single session.
Qwen 3.8 Max outperforms Claude Fable 5 on benchmarks like OSWorld-Verified and PaperBench, while costing significantly less per token. However, Fable 5 may still have advantages in certain reasoning tasks. Qwen offers superior price-performance for most agentic and code-heavy use cases.
Yes. On Venice, Qwen 3.8 Max runs under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. This ensures private, permissionless access to the model without surveillance.
Related models
Run Qwen 3.8 Max privately.
No prompt logging. No data used for training. Free to start — no credit card.
