This week, 368 translation tasks were completed by 5 models. A sample of 3 articles underwent multi-model blind comparison; overall best: claude-sonnet-4.6 (average score 9/10).
Weekly Translation Statistics
| Model | Language | Volume | Avg. Time | Avg. Quality Score |
|---|---|---|---|---|
| deepseek-v4-flash | en | 78 | 60.8s | Unrated |
| claude-sonnet-4.6 | ja | 183 | 49s | Unrated |
| passthrough | en | 102 | 0s | Unrated |
| native-english | en | 2 | - | Unrated |
| deepseek-v4-flash | zh | 2 | 48.6s | Unrated |
| deepseek-v4-flash:backtranslate | en | 1 | 25.9s | Unrated |
Sampled Comparative Evaluation
Evaluation 1: AfterQuery Sets YC's Fastest Unicorn Record, Valued at $3.2 Billion
| Model | Accuracy | Fluency | Terminology | Readability | Total |
|---|---|---|---|---|---|
| passthrough | 9 | 8 | 9 | 7 | 8 |
| deepseek-v4-pro | 6 | 8 | 7 | 8 | 7 |
| gpt-o3 | 6 | 9 | 7 | 9 | 7 |
passthrough
✓ Most faithful to the original. "This just five months after announcing its $30 million Series A at a $300 million valuation in April" directly mirrors the original's time and valuation comparison, with no added content.
✗ The final paragraph is clearly truncated — "However, rather than ensuring th" is cut off — undermining readability.
deepseek-v4-pro
✓ The headline is handled cleanly. "AfterQuery Sets YC Record for Fastest Unicorn, Valued at $3.2 Billion" gets straight to the core information.
✗ Adds a large amount of content not present in the original, such as "According to TechCrunch" and "oversubscribed within days of launching" — excessive paraphrasing.
gpt-o3
✓ Paragraph transitions flow smoothly, and the subheading "Why Is This Company So Popular With Investors?" makes the structure clearer.
✗ Also adds "oversubscribed within days of launch" and descriptions of investor preferences not found in the original, deviating from the source.
Conclusion: Version A is the most accurate, but its truncation hurts completeness; B and C are more fluent yet both contain considerable added content. Overall, A comes closest to the original text.
Evaluation 2: Grok 4's Code Execution Score Plunges 21.8 Points; Main Leaderboard Drops from 89.15 to 84.99
| Model | Accuracy | Fluency | Terminology | Readability | Total |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 9 | 8 | 9 | 9 | 9 |
| deepseek-v4-pro | 8 | 7 | 7 | 8 | 7 |
| gpt-o3 | 9 | 8 | 8 | 9 | 8 |
claude-sonnet-4.6
✓ The use of "素材制約" is highly consistent with the original's "素材约束," and the paragraph structure is clear; quoted passages such as "コード実行の問題で1問失敗するだけで" accurately correspond to the original meaning.
✗ The translation is clearly truncated at the end — "Grok 4を全体として過大評価または過" is unfinished — affecting overall completeness.
deepseek-v4-pro
✓ Clear structure with natural flow between headline and body; for example, "メインランキングはコード実行と材料制約の加重のみで構成される" is logically clear.
✗ The term "材料制約" is inconsistent with the original's "素材约束"; repeated use may undermine professionalism, and some sentences read stiffly.
gpt-o3
✓ The causal analysis flows smoothly; phrasing such as "問題のランダム抽出による変動か" is natural and faithful to the original logic.
✗ It also suffers from truncation, with content after the final "問題" incomplete; its term "材料制約" is also slightly weaker than Version A's.
Conclusion: Version A performs best on terminology accuracy and structural readability but loses points over the truncation; B and C are close overall, with C slightly better than B. Preference should go to A (once the truncation is fixed) or C.
Evaluation 3: WDCD Run #311: Grok 4 Leads with 93.2 Points as GLM-4.6 Sets New Decay Resistance Record
| Model | Accuracy | Fluency | Terminology | Readability | Total |
|---|---|---|---|---|---|
| native-english | 9 | 9 | 9 | 8 | 9 |
| deepseek-v4-pro | 2 | 1 | 1 | 1 | 1 |
| gpt-o3 | 8 | 8 | 9 | 7 | 8 |
native-english
✓ Terminology is accurate and professional; for example, "Winzheng Dynamic Contextual Decay (WDCD)" fully preserves the benchmark name and spells out its full form.
✗ The text is clearly truncated near the end — content after "At the opposite end of" is missing — affecting readability.
deepseek-v4-pro
✓ No notable strengths; it flat-out refused the translation task.
✗ It provided no translation whatsoever, only outputting the error message "未能找到中文文本" — a severe omission.
gpt-o3
✓ Terminology consistency is solid; for instance, "multi-turn commitment resistance" corresponds accurately to the source meaning.
✗ It also suffers from truncation — the final paragraph is clearly unfinished, ending abruptly at "original constrain" — affecting overall fluency.
Conclusion: Version A has the highest overall quality, Version B is a complete failure, and Version C is close to A but equally truncated.
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