Qwen3.5 397B
According to BenchLM.ai, Qwen3.5 397B ranks #46 out of 119 models on the provisional leaderboard with an overall score of 63/100. It also ranks #19 out of 28 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Qwen3.5 397B is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
Qwen3.5 397B sits inside the Qwen3.5 397B family alongside Qwen3.5 397B (Reasoning). This profile currently has 54 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Instruction Following (#22), while its weakest is Agentic (#41). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 8 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
#41Coding
#40Reasoning
#40Knowledge
#33Math
#31Multilingual
#25Multimodal
#38Inst. Following
#22Chatbot Arena Performance
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Qwen3.5 397B stacks up against similar models
Frequently Asked Questions
How does Qwen3.5 397B perform overall in AI benchmarks?
Qwen3.5 397B currently ranks #46 out of 119 models on BenchLM's provisional leaderboard with an overall score of 63. It also ranks #19 out of 28 on the verified leaderboard. It is created by Alibaba and features a 128K context window.
Is Qwen3.5 397B good for knowledge and understanding?
Qwen3.5 397B ranks #33 out of 119 models in knowledge and understanding benchmarks with an average score of 71.7. There are stronger options in this category.
Is Qwen3.5 397B good for coding and programming?
Qwen3.5 397B ranks #40 out of 119 models in coding and programming benchmarks with an average score of 68.1. There are stronger options in this category.
Is Qwen3.5 397B good for mathematics?
Qwen3.5 397B ranks #31 out of 119 models in mathematics benchmarks with an average score of 73.3. There are stronger options in this category.
Is Qwen3.5 397B good for reasoning and logic?
Qwen3.5 397B ranks #40 out of 119 models in reasoning and logic benchmarks with an average score of 58.2. There are stronger options in this category.
Is Qwen3.5 397B good for agentic tool use and computer tasks?
Qwen3.5 397B ranks #41 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 54.9. There are stronger options in this category.
Is Qwen3.5 397B good for multimodal and grounded tasks?
Qwen3.5 397B ranks #38 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 65.4. There are stronger options in this category.
Is Qwen3.5 397B good for instruction following?
Qwen3.5 397B ranks #22 out of 119 models in instruction following benchmarks with an average score of 84.8. There are stronger options in this category.
Is Qwen3.5 397B good for multilingual tasks?
Qwen3.5 397B ranks #25 out of 119 models in multilingual tasks benchmarks with an average score of 74.3. There are stronger options in this category.
Is Qwen3.5 397B open source?
Yes, Qwen3.5 397B is an open weight model created by Alibaba, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Which sibling models are related to Qwen3.5 397B?
Qwen3.5 397B belongs to the Qwen3.5 397B family. Related variants on BenchLM include Qwen3.5 397B (Reasoning).
Does Qwen3.5 397B have full benchmark coverage on BenchLM?
Not yet. Qwen3.5 397B currently has 54 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Qwen3.5 397B?
Qwen3.5 397B has a context window of 128K, which determines how much text it can process in a single interaction.
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