This week, 405 translation tasks were completed by 4 models. A sample of 3 articles was selected for blind multi-model comparison, with the best overall performer being claude-sonnet-4.6 (average score: 9/10).
Translation Statistics This Week
| Model | Language | Translation Volume | Average Time | Average Quality Score |
|---|---|---|---|---|
| deepseek-v4-flash | en | 72 | 41.4s | Not evaluated |
| claude-sonnet-4.6 | ja | 202 | 44.7s | Not evaluated |
| passthrough | en | 127 | 0s | Not evaluated |
| native-english | en | 1 | - | Not evaluated |
| deepseek-v4-flash | zh | 1 | 61.6s | Not evaluated |
| deepseek-v4-flash:backtranslate | en | 2 | 18.4s | Not evaluated |
Sampled Comparative Evaluation
Evaluation 1: Anthropic Researcher Reveals New Progress in AI Self-Improvement
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| passthrough | 9 | 8 | 9 | 8 | 8 |
| deepseek-v4-pro | 3 | 7 | 5 | 6 | 4 |
| gpt-o3 | 4 | 8 | 6 | 7 | 5 |
passthrough
✓ Accurately preserves the core content of the original text. For example, “Automated Researchers Can Reliably Mitigate Alignment Failures” directly matches the paper title, with no obvious additions or omissions.
✗ The end of the paragraph is truncated, reducing readability. For example, the final sentence, “The paper is a step toward,” is left unfinished.
deepseek-v4-pro
✓ The language is relatively fluent, for example using “reinforcement learning and self-play mechanisms” to describe the technical approach.
✗ It seriously deviates from the original content, fabricating elements such as an “internal seminar” and “self-play mechanisms.” For example, the original emphasizes the paper and benchmarks, but this version rewrites it as an internal demonstration.
gpt-o3
✓ Paragraph transitions are handled well, and quoted sections read naturally. For example, the Chinese translation of the introduction is relatively smooth.
✗ It likewise adds “internal seminar” and “self-play” content not found in the original. It is highly similar to Version B and deviates from the benchmark details.
Conclusion: Version A is the most faithful to the original text. The other two versions both contain serious content deviations and are not recommended for use.
Evaluation 2: The Era of Baofeng Player and RMVB: Universal Players, Codec Hell, and the Freedom to Watch Videos
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 9 | 9 | 9 | 9 | 9 |
| deepseek-v4-pro | 7 | 8 | 6 | 8 | 7 |
| gpt-o3 | 8 | 8 | 8 | 8 | 8 |
claude-sonnet-4.6
✓ Terminology is accurate and natural. For example, “コーデック地獄” directly corresponds to the original “codec hell,” preserving the technical feel while fitting Japanese expression habits.
✗ Some long-sentence structures are slightly complex. For instance, the description of Baofeng Player in the second paragraph feels somewhat cumbersome.
deepseek-v4-pro
✓ The overall pacing is fairly brisk, and some short sentences, such as “足りないのはデコーダーだ,” read smoothly.
✗ Terminology is inconsistent. It uniformly translates “codec” as “デコーダー,” which deviates from the professional meaning of the original term “codec.”
gpt-o3
✓ Its handling of subheadings such as “The Temptation of ‘Universal’” is close to the tone of the original, with clear logical transitions.
✗ Some expressions are slightly stiff. For example, “被せたもの” feels somewhat abrupt in context.
Conclusion: Version A is the strongest overall, outperforming the other versions in accuracy, fluency, and terminological consistency, making it suitable as a reference translation. Version C ranks second, while Version B scores lower due to terminology issues.
Evaluation 3: Small-Town Youth Becomes College Admissions Mentor, YouTube Channel Attracts Tens of Millions of Followers
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 9 | 9 | 9 | 9 | 9 |
| deepseek-v4-pro | 8 | 8 | 8 | 8 | 8 |
| gpt-o3 | 7 | 8 | 8 | 8 | 8 |
claude-sonnet-4.6
✓ Accurately preserves the specialized expression “ファーストジェネレーション（第一世代大学生）,” faithfully reflecting the original text’s definition of a specific group.
✗ There is an obvious truncation at the end of the main text: “一人 の若者が自らの努” is unfinished, affecting overall readability.
deepseek-v4-pro
✓ The title translation is concise. “田舎の若者” directly corresponds to the original “small-town youth,” with clear logic.
✗ In the title, “田舎” carries a slightly rural nuance, creating a subtle mismatch with the small-city or town atmosphere implied by the original “small-town.”
gpt-o3
✓ Paragraph transitions are natural. The expression “地方の若者” is fluent, and the overall reading experience is good.
✗ The title translates “tens of millions of followers” as “数千万のファンを獲得,” which exaggerates the number and deviates from the original.
Conclusion: Version A is the strongest overall, leading in accuracy, fluency, and terminological consistency, though it has a truncation issue. Versions B and C perform similarly, with C slightly weaker due to the numerical mistranslation.
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