Qwen3.7 Max
According to BenchLM.ai, Qwen3.7 Max ranks #2 out of 117 models on the provisional leaderboard with an overall score of 93/100. It also ranks #2 out of 25 on the verified leaderboard. This places it among the top tier of AI models available in 2026, competing directly with the strongest models from leading AI labs.
Qwen3.7 Max 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.
This profile currently has 34 of 196 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 Coding (#3), while its weakest is Multilingual (#10). This performance profile makes it particularly well-suited for software development and code generation tasks.
Ranking Distribution
Category rank across 6 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
#3Reasoning
Knowledge
#9Math
Multilingual
#10Multimodal
Inst. Following
#5Benchmark 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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Frequently Asked Questions
How does Qwen3.7 Max perform overall in AI benchmarks?
Qwen3.7 Max currently ranks #2 out of 117 models on BenchLM's provisional leaderboard with an overall score of 93. It also ranks #2 out of 25 on the verified leaderboard. It is created by Alibaba and features a 1M context window.
Is Qwen3.7 Max good for knowledge and understanding?
Qwen3.7 Max ranks #9 out of 117 models in knowledge and understanding benchmarks with an average score of 86.2. It is among the top performers in this category.
Is Qwen3.7 Max good for coding and programming?
Qwen3.7 Max ranks #3 out of 117 models in coding and programming benchmarks with an average score of 92.7. It is among the top performers in this category.
Is Qwen3.7 Max good for mathematics?
Qwen3.7 Max has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Qwen3.7 Max good for reasoning and logic?
Qwen3.7 Max has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Qwen3.7 Max good for agentic tool use and computer tasks?
Qwen3.7 Max 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 Max good for instruction following?
Qwen3.7 Max ranks #5 out of 117 models in instruction following benchmarks with an average score of 95.6. It is among the top performers in this category.
Is Qwen3.7 Max good for multilingual tasks?
Qwen3.7 Max ranks #10 out of 117 models in multilingual tasks benchmarks with an average score of 88.2. It is among the top performers in this category.
Does Qwen3.7 Max have full benchmark coverage on BenchLM?
Not yet. Qwen3.7 Max currently has 34 published benchmark scores out of the 196 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 Max?
Qwen3.7 Max has a context window of 1M, which determines how much text it can process in a single interaction.
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