This week, 240 translation tasks were completed by 5 models. Sampling 3 articles for multi-model blind comparison, the overall best: gpt-5.5 (average score 8.7/10).
This Week's Translation Statistics
| Model | Language | Translation Volume | Average Time | Average Quality Score |
|---|---|---|---|---|
| gpt-4o | ja | 67 | 17.9s | Not evaluated |
| grok-3 | en | 31 | 37.8s | Not evaluated |
| gpt-o3 | ja | 66 | 18.7s | Not evaluated |
| deepseek-v4-flash | en | 27 | 27.5s | Not evaluated |
| claude-sonnet-4.6 | ja | 49 | 41.1s | Not evaluated |
Comparative Blind Evaluation
Evaluation 1: Google Launches Veo 3 AI Video Tool: A New Breakthrough for Generative AI in Media
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| gpt-o3 | 7 | 7 | 8 | 7 | 7 |
| gpt-5.5 | 9 | 9 | 9 | 9 | 9 |
gpt-o3
✓ Overall faithful to the original, accurate translation of technical terms such as "diffusion models (Diffusion Models)" and "Transformer architecture" handled appropriately
✗ Uses polite style (敬体), which is inconsistent with the plain style commonly used in news reporting, resulting in weaker news-like feel; translation is truncated mid-way, output incomplete
gpt-5.5
✓ Adopts the plain style typical of news reporting, with natural and idiomatic word choices. Technical terms such as "breakthrough" and "milestone" are expressed fluently and accurately
✗ Output contains redundant JSON wrapping structures and escape characters, format not clean; similarly truncated at the end
Conclusion: gpt-5.5 shows significantly higher translation quality, appropriate stylistic choice, natural and idiomatic language, and precise terminology handling. gpt-o3's polite style does not conform to news conventions, and some word choices contain mistranslations. Both models exhibit output truncation issues that need attention.
Evaluation 2: OpenAI Releases GPT-5.5 SPUD—Transitioning from Conversational AI to Autonomous Agent
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| gpt-4o | 8 | 8 | 7 | 8 | 8 |
| gpt-o3 | 9 | 8 | 9 | 8 | 8 |
| gpt-5.5 | 9 | 9 | 9 | 9 | 9 |
gpt-4o
✓ The entire text uses natural and fluent polite-style Japanese, highly readable for general audiences, with smooth expression of technical concepts
✗ Some terms lack original annotations (e.g., "エージェント能力" without noting "agentic"), slightly lower technical precision; "多モーダル" is unnatural, should be "マルチモーダル"
gpt-o3
✓ High technical terminology precision, with original terms noted (e.g., "エージェント性（agentic）"), and professional terms use industry-standard translations
✗ Plain style is somewhat rigid, feeling slightly stilted compared to polite style; output truncated in JSON format, last paragraph incomplete
gpt-5.5
✓ Terminology is consistent and precise, with comprehensive annotation of original terms. Details in word choices are more natural and refined compared to other versions
✗ Also has JSON output truncation issues, and some quotation marks are used inconsistently
Conclusion: gpt-5.5 is overall best, with precise terminology, natural expression, and thorough annotation of original terms. gpt-o3 has high technical precision but a rigid style. gpt-4o is readable but lacks in terminology handling. All three exhibit output truncation issues.
Evaluation 3: Commitment Capability Will Become the Next Core Metric for AI Models
| Model | Accuracy | Fluency | Terminology | Readability | Total Score |
|---|---|---|---|---|---|
| deepseek-v4-flash | 7 | 7 | 7 | 7 | 7 |
| gpt-o3 | 9 | 9 | 9 | 9 | 9 |
| gpt-5.5 | 9 | 9 | 9 | 8 | 8 |
deepseek-v4-flash
✓ Translates "守约能力" as "commitment capability" with additional explanation, helpful for readers to understand the new concept
✗ Title not translated, output incomplete and truncated; some word choices are overly dramatic (e.g., translating "goes rogue" as "失控")
gpt-o3
✓ Terminology selection is professional and precise ("commitment adherence"), idiomatic expressions are natural ("say one thing and do another"), structure complete
✗ Final paragraph truncated, last paragraph not fully presented
gpt-5.5
✓ Translation fluent and accurate, terminology consistently uses "commitment adherence", idiomatic expressions are natural
✗ Title lacks tag wrapping, HTML structure less standard than gpt-o3; also has truncation issue
Conclusion: gpt-o3 performs best in this round, with precise terminology, natural expression, and most standard structure. gpt-5.5 has similar quality but slightly weaker structure. deepseek-v4-flash is basically accurate but lacks in terminology choice and idiomaticity.
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