人工智能模型能力比較

一般

Only models released within the past year are shown. Only benchmarks covering at least 3 of these models are shown. Unknown release dates are excluded; historical data is retained.

— means no published score for this candidate in this source, not zero.

編號模型10/11 recent-year models have scores
1AnthropicClaude Opus 5.557.6maxClaude Opus 5.5 (Max, Default Fallback)
2OpenAIGPT-6 Astra52.7maxGPT-6 Astra (Max)
3OpenAIGPT-6.1 Sol51.8maxGPT-6.1 Sol (Max)
4AnthropicClaude Fable 5.153.4maxClaude Fable 5.1 (Max, Default Fallback)
5Google DeepMindGemini 4 Argon52.6highGemini 4 Argon (High)
6AnthropicClaude Sonnet 5.556maxClaude Sonnet 5.5 (Max, Default Fallback)
7AnthropicClaude Opus 550.8maxClaude Opus 5 (Max)
8OpenAIGPT-6 Sol47.6maxGPT-6 Sol (Max)
9OpenAIGPT-6 Luna38.1maxGPT-6 Luna (Max)
10AnthropicClaude Haiku 5.543.4maxClaude Haiku 5.5 (Max)
11AnthropicClaude Mythos Preview—

Artificial Analysis 指數

來源: Artificial Analysis ↗

Artificial Analysis Intelligence Index · Source date unknown

PandaNpc 更新 2026年10月21日 06:01 [UTC]

來源: Epoch AI, CC BY 4.0 · Vals.ai · Artificial Analysis (artificialanalysis.ai)

欄位說明

編號
僅供顯示排序。排序會改變此數字;此並非已發佈的能力排名。
模型
受評估的模型名稱及其供應商圖示。分數欄中的破折號表示此處沒有已發佈的分數,而非零分。
Artificial Analysis Intelligence IndexArtificial Analysis 智能指數
綜合多項對通用模型能力嘅評估。佢係一個複合指數,而唔係單一任務嘅準確度。 評估方法 ↗

請在同一基準、來源及版本內比較分數。數值越高代表在該報告指標上的表現越強,但不同欄位並不共用同一尺度。