Four-Model Translation Showdown: Week 43 Quality Evaluation, gpt-o3 Leads with 8.7

This week, 402 translation tasks were completed by 4 models. A blind multi-model comparison of 3 sampled articles found gpt-o3 to be the overall best, with an average score of 8.7/10.

This week, 402 translation tasks were completed by 4 models. 3 articles were sampled for a multi-model blind evaluation comparison; the overall best was gpt-o3 (average score 8.7/10).

This Week's Translation Statistics

ModelLanguageTranslation VolumeAvg. TimeAvg. Quality Score
deepseek-v4-flashen7923.2sNot rated
claude-sonnet-4.6ja20047.6sNot rated
deepseek-v4-flash:backtranslateen337.7sNot rated
passthroughen1160sNot rated
native-englishen2-Not rated
deepseek-v4-flashzh25.4sNot rated

Sampled Comparative Evaluation

Evaluation 1: Google DeepMind and Singapore Government Join Forces: How On-Device AI Identifies Scams Without Touching User Data

ModelAccuracyFluencyTerminologyReadabilityTotal
claude-sonnet-4.687988
deepseek-v4-pro98988
gpt-o399899

claude-sonnet-4.6

✓ Terminology consistency is good; AI terms such as 「エンドツーエンド暗号化」 and 「オンデバイス推論」 are accurate and consistent.

✗ Some sentences are slightly stiff; 「分析処理はユーザーデバイスの内部で完結し」 reads like a translation.

deepseek-v4-pro

✓ Fluency is relatively good; 「2段階の直列パイプライン」 is expressed naturally and professionally.

✗ The title phrase 「オンデバイスAIはいかにして」 has a slightly bookish translation tone, making readability a bit weaker.

gpt-o3

✓ Overall readability is best; 「端末側推論は、技術的にこの矛盾を断ち切る」 connects smoothly and naturally.

✗ Some terminology differs slightly from A and B; mixing 「端末側」 and 「オンデバイス」 reduces consistency somewhat.

Conclusion: The three versions are close in overall quality. gpt-o3 is slightly better in fluency and readability; the Claude version is the least complete due to truncation, so the gpt-o3 version is recommended.

Evaluation 2: American Express Introduces New Framework: Preventing Unauthorized Purchases by AI Agents

ModelAccuracyFluencyTerminologyReadabilityTotal
claude-sonnet-4.698988
deepseek-v4-pro99999
gpt-o388888

claude-sonnet-4.6

✓ The explanation of the 「代理取引認証」 mechanism is relatively complete, citing a specific rule example such as 「1回の注文が200ドルを超える場合は自動決済を行わない」.

✗ The end of a paragraph is abruptly truncated, affecting readability; the final paragraph of the original is not fully presented.

deepseek-v4-pro

✓ Terminology is used consistently and naturally; expressions such as 「エージェント認可検証」 and 「認可範囲」 are clear, and the logical flow is smooth.

✗ Some sentences are a little long and read as slightly dense, but overall they remain natural.

gpt-o3

✓ The description of AI misjudgment scenarios is specific, such as 「ユーザーが単に価格を確認していただけなのに注文まで行ってしまう」.

✗ The content provided by this version is incomplete, and the ending cuts off abruptly, affecting the overall assessment.

Conclusion: Version B is the best overall, with a balance of accuracy, fluency, and readability; A and C are slightly behind due to incomplete content, so B is recommended.

Evaluation 3: DeepSeek V4 Pro Plunges 18.1 Points on Material Constraints, Yet Code Execution Scores a Perfect 100

ModelAccuracyFluencyTerminologyReadabilityTotal
deepseek-v4-flash88978
deepseek-v4-pro98988
gpt-o399999

deepseek-v4-flash

✓ Terminology consistency is good; 「Smoke evaluation」 retains the professional evaluation name directly without over-translation.

✗ The content is truncated; 「rather than one dimension c」 is clearly incomplete, affecting readability.

deepseek-v4-pro

✓ It accurately conveys the meaning of “plunges 18.1 points”; “Plunges 18.1 Points” is an apt wording.

✗ It also has truncation issues; 「systematic deg」 is unfinished, posing a risk of omission.

gpt-o3

✓ Fluency is best; the title translation 「Sampling Variance Rather Than Model Degradation」 is natural and professional.

✗ It is also truncated; 「there has been n」 is incomplete, but the overall structure is better than A and B.

Conclusion: Version C is the best overall, leading in fluency and readability; A and B are slightly behind due to truncation issues, but all three have relatively high accuracy and terminology consistency.