Qwen3.5-397B-A17B
Qwen3.5-397B-A17B is an AI model published by Alibaba, released on 2026-02-16, for Multimodal model, with 39.7B parameters, and 256K context length, under the Apache 2.0 license, with a 93.00 score on C-Eval.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.500/ 1M | $3.00/ 1M |
| Type | TTL | Write | Read |
|---|---|---|---|
| Text | 5m | $0.625/ 1M | $0.050/ 1M |
Benchmark Results
Qwen3.5-397B-A17B currently shows benchmark results led by MMLU Pro (10 / 126, score 87.80), Pinch Bench (3 / 37, score 89.10), IF Bench (3 / 29, score 76.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
5 evaluationsCoding and Software Engineer
4 evaluationsAI Agent - Information Search
2 evaluationsAI Agent - Tool Usage
3 evaluationsMath and Reasoning
2 evaluationsCompare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
Qwen3.5-397B-A17B is an AI model published by Alibaba, released on 2026-02-16, for Multimodal model, with 39.7B parameters, and 256K context length, under the Apache 2.0 license, with a 93.00 score on C-Eval.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
