Qwen3 235B 2507
According to BenchLM.ai, Qwen3 235B 2507 ranks #82 out of 110 models on the provisional leaderboard with an overall score of 35/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.
Qwen3 235B 2507 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 235B 2507 sits inside the Qwen3 235B 2507 family alongside Qwen3 235B 2507 (Reasoning). This profile currently has 4 of 152 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 (#32), while its weakest is Multimodal & Grounded (#101). 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
#86Coding
#64Reasoning
#77Knowledge
#64Math
#73Multilingual
#60Multimodal
#101Inst. Following
#32Chatbot 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.
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See how Qwen3 235B 2507 stacks up against similar models
Frequently Asked Questions
How does Qwen3 235B 2507 perform overall in AI benchmarks?
Qwen3 235B 2507 currently ranks #82 out of 110 models on BenchLM's provisional leaderboard with an overall score of 35 (estimated). It is created by Alibaba and features a 128K context window.
Is Qwen3 235B 2507 good for knowledge and understanding?
Qwen3 235B 2507 ranks #64 out of 110 models in knowledge and understanding benchmarks with an average score of 41.3. There are stronger options in this category.
Is Qwen3 235B 2507 good for multilingual tasks?
Qwen3 235B 2507 ranks #60 out of 110 models in multilingual tasks benchmarks with an average score of 45.7. There are stronger options in this category.
Is Qwen3 235B 2507 open source?
Yes, Qwen3 235B 2507 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 235B 2507?
Qwen3 235B 2507 belongs to the Qwen3 235B 2507 family. Related variants on BenchLM include Qwen3 235B 2507 (Reasoning).
Does Qwen3 235B 2507 have full benchmark coverage on BenchLM?
Not yet. Qwen3 235B 2507 currently has 4 published benchmark scores out of the 152 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 235B 2507?
Qwen3 235B 2507 has a context window of 128K, which determines how much text it can process in a single interaction.
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