Qwen3.7 Plus
According to BenchLM.ai, Qwen3.7 Plus ranks #11 out of 122 models on the provisional leaderboard with an overall score of 87/100. It also ranks #3 out of 31 on the verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.
Qwen3.7 Plus is a proprietary model with a 1M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
BenchLM links it directly to Qwen3.6 Plus as the earlier related model in that lineage. This profile currently has 51 of 236 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 (#7), while its weakest is Multilingual (#20). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 7 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
#8Reasoning
Knowledge
#20Math
Multilingual
#20Multimodal
#19Inst. Following
#7Benchmark 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.
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See how Qwen3.7 Plus stacks up against similar models
Frequently Asked Questions
How does Qwen3.7 Plus perform overall in AI benchmarks?
Qwen3.7 Plus currently ranks #11 out of 122 models on BenchLM's provisional leaderboard with an overall score of 87. It also ranks #3 out of 31 on the verified leaderboard. It is created by Alibaba and features a 1M context window.
Is Qwen3.7 Plus good for knowledge and understanding?
Qwen3.7 Plus ranks #20 out of 122 models in knowledge and understanding benchmarks with an average score of 79.9. There are stronger options in this category.
Is Qwen3.7 Plus good for coding and programming?
Qwen3.7 Plus ranks #8 out of 122 models in coding and programming benchmarks with an average score of 88. It is among the top performers in this category.
Is Qwen3.7 Plus good for mathematics?
Qwen3.7 Plus has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Qwen3.7 Plus good for reasoning and logic?
Qwen3.7 Plus has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Qwen3.7 Plus good for agentic tool use and computer tasks?
Qwen3.7 Plus has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is Qwen3.7 Plus good for multimodal and grounded tasks?
Qwen3.7 Plus ranks #19 out of 122 models in multimodal and grounded tasks benchmarks with an average score of 76.9. There are stronger options in this category.
Is Qwen3.7 Plus good for instruction following?
Qwen3.7 Plus ranks #7 out of 122 models in instruction following benchmarks with an average score of 95.6. It is among the top performers in this category.
Is Qwen3.7 Plus good for multilingual tasks?
Qwen3.7 Plus ranks #20 out of 122 models in multilingual tasks benchmarks with an average score of 83.5. There are stronger options in this category.
Does Qwen3.7 Plus have full benchmark coverage on BenchLM?
Not yet. Qwen3.7 Plus currently has 51 published benchmark scores out of the 236 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 Qwen3.7 Plus?
Qwen3.7 Plus has a context window of 1M, which determines how much text it can process in a single interaction.
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