This week, 417 translation tasks were completed by 3 models. 3 were sampled for multi-model blind evaluation comparison; overall best: deepseek-v4-pro (average score 8.7/10).
This Week's Translation Statistics
| Model | Language | Translation Volume | Avg. Time | Avg. Quality Score |
|---|---|---|---|---|
| deepseek-v4-flash | en | 63 | 23.8s | Not rated |
| claude-sonnet-4.6 | ja | 208 | 48.1s | Not rated |
| passthrough | en | 144 | 0s | Not rated |
| native-english | en | 1 | - | Not rated |
| deepseek-v4-flash | zh | 1 | 4.1s | Not rated |
Sampled Comparative Evaluation
Evaluation 1: I Cloned a Talking Version of Myself: The Joys and Concerns of AI Digital Avatars
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 8 | 7 | 9 | 8 | 8 |
| deepseek-v4-pro | 9 | 9 | 8 | 9 | 9 |
| gpt-o3 | 8 | 8 | 9 | 8 | 8 |
claude-sonnet-4.6
✓ Terminology is handled accurately; for example, 「レッドフラッグ」 directly retains the professional expression and is accompanied by a Chinese-language explanation: "a warning signal in investment due diligence."
✗ Some sentences are too long and carry translationese, e.g., 「見慣れた顔をして、いつもの自分の口調で話しているのに、それは自分ではない」 sounds somewhat stiff.
deepseek-v4-pro
✓ The language is natural and fluent; for example, 「背筋が凍る思いだった」 accurately conveys the chilling feeling of "a chill down one's spine," and the transitions are smooth.
✗ A few terms are slightly literal, e.g., 「レッドフラッグ・シグナル」 could be streamlined into a more common expression.
gpt-o3
✓ The structure is clear, and quoted sections are handled appropriately; e.g., 「ぞっとしました」 naturally conveys "hair-raising."
✗ Some expressions are slightly flat; e.g., 「よどみなく語る様子」 lacks the original's layered tension.
Conclusion: Version B is overall the best, with the best balance of fluency and accuracy; it is recommended for priority use. A and C both have obvious deficiencies in completeness.
Evaluation 2: Tech Giants Move $300 Billion in AI Debt Off Their Books: How Off-Balance-Sheet Guarantee Structures Conceal Systemic Risk
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 7 | 6 | 8 | 5 | 6 |
| deepseek-v4-pro | 9 | 8 | 9 | 8 | 8 |
| gpt-o3 | 8 | 9 | 8 | 9 | 9 |
claude-sonnet-4.6
✓ Terms such as 「残余価値保証＋特別目的事業体（SPV）」 are used fairly accurately and fit the financial context.
✗ The text is clearly truncated; the part about "the blind spot of footnotes" is unfinished, severely affecting readability.
deepseek-v4-pro
✓ Terminology consistency is high: 「残存価値保証」 and 「特別目的会社（SPV）」 are unified throughout, and 「教科書レベルの構造モデル」 is expressed naturally and aptly.
✗ Some long sentences are somewhat cumbersome; for example, in the second paragraph, the description of the Blue Owl structure is a bit repetitive.
gpt-o3
✓ Fluency is the best: the subheading 「帳簿の外にある実質的エクスポージャー」 is translated concisely and naturally, and paragraph transitions are clear.
✗ Some terminology is slightly inconsistent; e.g., 「残存価値保証」 and 「潜在損失引当金」 are mixed, not fully unified.
Conclusion: Version C is overall the best, leading in fluency and readability; Version B has the most rigorous terminology; Version A clearly lags due to truncation issues.
Evaluation 3: Pentagon Spends $30 Million to Build an AI Polygraph
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 8 | 9 | 9 | 8 | 8 |
| deepseek-v4-pro | 9 | 8 | 9 | 9 | 9 |
| gpt-o3 | 9 | 8 | 8 | 9 | 8 |
claude-sonnet-4.6
✓ Fluency is good: the title 「米国防総省のAI嘘発見器計画」 naturally corresponds to the original structure, and the logical flow is smooth.
✗ The ending is clearly truncated; 「——これは」 is unfinished, affecting readability.
deepseek-v4-pro
✓ Accuracy is high: the title 「国防総省が3000万ドルを投じてAIポリグラフを開発」 directly corresponds to the original meaning, with no additions.
✗ Some expressions are slightly stiff; although 「一つのレッドライン」 preserves the original meaning, it carries a touch of translationese.
gpt-o3
✓ Readability is good: the title 「ペンタゴン、3000万ドルを投じてAI嘘発見器を開発」 is concise and forceful, and paragraph transitions are clear.
✗ Terminology consistency is slightly weak; 「嘘発見器」 and 「polygraph」 are mixed, not fully unified.
Conclusion: The three versions are close in overall quality. Version B is slightly better in accuracy and readability; Version A is somewhat weaker due to truncation; Version C's terminology handling could be further optimized.
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