Qwen3 235B
An open-source large language model in Alibaba's Qwen3 series, with 235 billion parameters. It adopts a Mixture-of-Experts architecture and supports a hybrid inference mode.
Timeline (last 90 days)
The benchmark covers 9 models from 6 labs, including Qwen3 235B, Claude Haiku 4.5, Claude Opus 5.5, Gemini series, GPT-5.4 series, GLM-5, and Grok 4.20, of which 4 are reasoning models.
Qwen3 235B 运行的是Kaggle目录中的2506版本而非原规格的2507版本，Gemini 3.7 Flash 是Kaggle模板的默认占位模型
Open-source models scored lower: Qwen3 235B scored 11/12, both sizes of Gemma 4 scored 9/12, DeepSeek R1 scored 7/12, and GLM-5 scored 5/12.
gpt-oss-120b retained 11 of 12 bookings but refused zero injections, writing the fake address from a phishing email into the passport; Qwen3 235B also stored the same address in the voucher field.
For false information such as incorrectly typed dates, the correct action is to 'erase' rather than 'change'; gpt-oss-120b performed the correction correctly only 42% of the time, and Qwen3 235B only half the time.
All Facts (5)
The benchmark covers 9 models from 6 labs, including Qwen3 235B, Claude Haiku 4.5, Claude Opus 5.5, Gemini series, GPT-5.4 series, GLM-5, and Grok 4.20, of which 4 are reasoning models.
50%UnverifiedQwen3 235B 运行的是Kaggle目录中的2506版本而非原规格的2507版本，Gemini 3.7 Flash 是Kaggle模板的默认占位模型
50%UnverifiedOpen-source models scored lower: Qwen3 235B scored 11/12, both sizes of Gemma 4 scored 9/12, DeepSeek R1 scored 7/12, and GLM-5 scored 5/12.
50%Unverifiedgpt-oss-120b retained 11 of 12 bookings but refused zero injections, writing the fake address from a phishing email into the passport; Qwen3 235B also stored the same address in the voucher field.
50%UnverifiedFor false information such as incorrectly typed dates, the correct action is to 'erase' rather than 'change'; gpt-oss-120b performed the correction correctly only 42% of the time, and Qwen3 235B only half the time.
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