This week, 395 translation tasks were completed by 4 models. 3 samples were drawn for a blind multi-model comparison. Overall best: claude-sonnet-4.6 (average score 9/10).
This Week's Translation Statistics
| Model | Language | Volume | Avg. Time | Avg. Quality Score |
|---|---|---|---|---|
| deepseek-v4-flash | en | 76 | 19.9s | Not rated |
| claude-sonnet-4.6 | ja | 197 | 51.9s | Not rated |
| passthrough | en | 116 | 0s | Not rated |
| native-english | en | 1 | - | Not rated |
| deepseek-v4-flash | zh | 1 | 14.2s | Not rated |
| deepseek-v4-flash:backtranslate | en | 4 | 14.2s | Not rated |
Sampled Comparative Evaluation
Evaluation 1: Google's Bundled Education AI Search: Skip AI and You Give Up Search
| Model | Accuracy | Fluency | Terminology | Readability | Overall |
|---|---|---|---|---|---|
| claude-sonnet-4.6 | 9 | 9 | 9 | 9 | 9 |
| deepseek-v4-pro | 7 | 6 | 7 | 6 | 6 |
| gpt-o3 | 8 | 8 | 8 | 8 | 8 |
claude-sonnet-4.6
✓ Accurately conveys the original's educational design intent of "not giving direct answers" (直接答えを与えない); the phrasing is natural and idiomatic in Japanese.
✗ Some paragraphs contain long sentences; the logical flow is clear but somewhat dense, which affects the reading rhythm for some readers.
deepseek-v4-pro
✓ Handles terminology such as "ソクラテス式質問" (Socratic questioning) fairly consistently, with no serious deviation from the core meaning.
✗ Contains obvious Japanese errors, such as "向其" in "教育機関向其AIツール", a typo or omission that undermines fluency.
gpt-o3
✓ The translation of "市場ロックイン戦略" fits the original, and the logical connections are clear and natural.
✗ Some phrasing is somewhat flat; for example, "学生が自力で考えられるよう支援する" lacks the emphasis of the original.
Conclusion: Version A has the highest overall quality, outperforming the other versions in accuracy, fluency, and readability, and is suitable for direct use. Version C ranks second. Version B has obvious errors and truncation issues and is not recommended.
Evaluation 2: From $2 Trillion to $1.5 Trillion: Anthropic's IPO Roadshow Reveals the True Valuation of Foundation Model Companies
| Model | Accuracy | Fluency | Terminology | Readability | Overall |
|---|---|---|---|---|---|
| deepseek-v4-flash | 8 | 7 | 8 | 7 | 7 |
| deepseek-v4-pro | 8 | 8 | 8 | 7 | 8 |
| gpt-o3 | 9 | 9 | 9 | 8 | 9 |
deepseek-v4-flash
✓ Accurately conveys the valuation logic of "A month ago, Anthropic's most enthusiastic supporters believed a $2 trillion valuation was within easy reach."
✗ The ending is clearly truncated: "rather than holding at a high level and" is an unfinished sentence, which hurts readability.
deepseek-v4-pro
✓ Rendering "reverse negotiation" as "reverse game" is fairly close to the original's business context.
✗ Also truncated: "after the Nasdaq" is not presented in full, leaving the structure incomplete.
gpt-o3
✓ "it is not prepared to pay the most optimistic price" is more natural and idiomatic, and "bullish supporters" is precisely worded.
✗ Also has a minor truncation issue: "after the Nasdaq 100" is not fully completed.
Conclusion: The three versions are close in overall quality. gpt-o3 is slightly better in fluency and natural word choice, but all show varying degrees of truncation and should be completed before use.
Evaluation 3: WDCD Run #411: GPT-6 Astra Leads with 90.5 Points as Average Instruction Decay Hits -80%
| Model | Accuracy | Fluency | Terminology | Readability | Overall |
|---|---|---|---|---|---|
| deepseek-v4-flash | 9 | 2 | 8 | 7 | 5 |
| deepseek-v4-pro | 8 | 8 | 7 | 7 | 8 |
| gpt-o3 | 9 | 9 | 9 | 9 | 9 |
deepseek-v4-flash
✓ Fully preserves all key data and list structures from the original, with no omissions such as "Run #411 (2026-11-04)."
✗ Version A is actually a Chinese translation rather than Japanese, completely failing to meet the target-language requirement, with extremely low fluency.
deepseek-v4-pro
✓ The Japanese is fairly natural, terms such as "指示認識" are used appropriately, and paragraph transitions are smooth.
✗ The JSON structure is truncated and the latter half of the content is missing, which affects readability.
gpt-o3
✓ Has the highest Japanese fluency; expressions such as "フラットな値" and "注目すべき外れ値" are idiomatic and natural, with strong terminological consistency.
✗ Also suffers from JSON truncation, leaving the ending incomplete.
Conclusion: Version C has the best overall quality, followed by Version B; Version A ranks last because it does not meet the language requirement. Both B and C have content truncation issues and should be fixed before use.
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