benchmark.aider-polyglot-diff
公开事实
68.6%
高置信度,已绑定来源与证据。
条件:Diff setting; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.aider-polyglot-whole
公开事实
74%
高置信度,已绑定来源与证据。
条件:Whole-file setting; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.aime-2024-single-attempt
公开事实
92%
高置信度,已绑定来源与证据。
条件:Single attempt; pass@1; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.aime-2025-single-attempt
公开事实
86.7%
高置信度,已绑定来源与证据。
条件:Single attempt; pass@1; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.global-mmlu-lite
公开事实
89.8%
高置信度,已绑定来源与证据。
条件:Pass@1; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.gpqa-diamond-single-attempt
公开事实
84%
高置信度,已绑定来源与证据。
条件:Single attempt; pass@1; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.humanitys-last-exam-no-tools
公开事实
18.8%
高置信度,已绑定来源与证据。
条件:No tools; Google chart methodology; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.livecodebench-v5-single-attempt
公开事实
70.4%
高置信度,已绑定来源与证据。
条件:Single attempt; pass@1; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.mmmu-single-attempt
公开事实
81.7%
高置信度,已绑定来源与证据。
条件:Single attempt; pass@1; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.mrcr-128k-average
公开事实
94.5%
高置信度,已绑定来源与证据。
条件:128k cumulative/average score; AI Studio API model ID gemini-2.5-pro-exp-03-25; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.mrcr-1m-pointwise
公开事实
83.1%
高置信度,已绑定来源与证据。
条件:1M pointwise score; AI Studio API model ID gemini-2.5-pro-exp-03-25; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.simpleqa
公开事实
52.9%
高置信度,已绑定来源与证据。
条件:Pass@1; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.swe-bench-verified
公开事实
63.8%
高置信度,已绑定来源与证据。
条件:Custom agent setup; AI Studio API model ID gemini-2.5-pro-exp-03-25; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.
benchmark.vibe-eval-reka
公开事实
69.4%
高置信度,已绑定来源与证据。
条件:Gemini used as a judge; AI Studio API model ID gemini-2.5-pro-exp-03-25; default sampling; evaluation date not separately published.
来源:Gemini 2.5: Our most intelligent AI model证据:Google's official Gemini 2.5 Pro Experimental (03-25) chart reports: Humanity's Last Exam no tools 18.8%; GPQA diamond single attempt 84.0%; AIME 2025 single attempt 86.7%; AIME 2024 single attempt 92.0%; LiveCodeBench v5 single attempt 70.4%; Aider Polyglot whole 74.0% and diff 68.6%; SWE-Bench Verified 63.8%; SimpleQA 52.9%; MMMU single attempt 81.7%; Vibe-Eval (Reka) 69.4%; MRCR 128k average 94.5% and 1M pointwise 83.1%; Global MMLU (Lite) 89.8%. The chart methodology identifies the model ID as gemini-2.5-pro-exp-03-25, uses default sampling, reports Gemini results as pass@1 unless otherwise indicated, and states that Vibe-Eval uses Gemini as a judge. The announcement text explicitly describes SWE-Bench Verified as using a custom agent setup. Evaluation date is not separately published.