Translation Showdown of 4 Major Models: Week 27 Quality Evaluation, claude-sonnet-4.6 Leads with Score 9

This week, 376 translation tasks were completed by 4 models. A blind review of 3 sampled articles shows claude-sonnet-4.6 as the best overall (average score 9/10).

This week, 376 translation tasks were completed by 4 models. Sampled 3 articles for multi-model blind review comparison, overall best: claude-sonnet-4.6 (average score 9/10).

Weekly Translation Statistics

ModelLanguageTranslation VolumeAverage TimeAverage Quality Score
deepseek-v4-flashen6913sNot Rated
claude-sonnet-4.6ja19531.1sNot Rated
passthroughen1080sNot Rated
native-englishen2-Not Rated
deepseek-v4-flashzh216.3sNot Rated

Sampled Comparison Evaluation

Evaluation 1: Is Nvidia's Dominance Waning? OpenAI and SpaceX Develop Their Own Chips

ModelAccuracyFluencyTerminologyReadabilityTotal Score
passthrough36544
deepseek-v4-pro89898

passthrough

✓ Some sentences like "Nvidia has dominated the AI chip market for years" are relatively natural in fluency.

✗ Large amounts of HTML tags, podcast links, and irrelevant content such as "Loading the player…" are retained, completely inconsistent with the original title, indicating serious omissions and misplacement.

deepseek-v4-pro

✓ The title translation "Is Nvidia's Dominance Waning?" accurately reflects the original meaning, and paragraph transitions are logically clear, using subheadings to organize content.

✗ There is over-paraphrasing, such as "de-Nvidiafication" and the fabricated quote "We are transforming from 'compute buyers' into 'compute creators'", which is not present in the original text.

Conclusion: Version B is significantly better overall than Version A. It is recommended to prioritize Version B, but the excessively added content needs to be corrected.

Evaluation 2: ByteDance Releases Seedance 2.5 Video Model: Upgrades Multimodal AI Applications and Resolves Copyright Disputes

ModelAccuracyFluencyTerminologyReadabilityTotal Score
deepseek-v4-flash88988
deepseek-v4-pro88988

deepseek-v4-flash

✓ Terminology is accurate, such as "multimodal fusion capability" corresponding to "多模态融合能力", professional and consistent.

✗ The ending is clearly truncated. "Multiple tech outlets noted that this is" is incomplete, affecting overall integrity.

deepseek-v4-pro

✓ Description of the copyright mechanism is clear; "content traceability and authorization management mechanisms" is a faithful translation.

✗ Also suffers from ending truncation, with "widespread d" incomplete, similar to Version A's defect.

Conclusion: The translation quality of both versions is similar, both performing well in accuracy and terminology consistency, but both are incomplete due to truncated endings. Completion is recommended before use.

Evaluation 3: Nobel Laureate John Jumper Leaves DeepMind for Anthropic

ModelAccuracyFluencyTerminologyReadabilityTotal Score
claude-sonnet-4.699999
deepseek-v4-pro88988

claude-sonnet-4.6

✓ Complete structure, clear hierarchy between title and body; subheadings like "人材移動が各ラボの能力に与える影響" accurately correspond to the logical paragraphs of the original text.

✗ Some sentences are slightly verbose, e.g., "この変動は、両社が同時に研究チームを拡充している時期に起きた" could be further streamlined.

deepseek-v4-pro

✓ Terminology is consistent, such as "AlphaFold" and "アライメント" being accurately and uniformly rendered.

✗ JSON format mixed into the main text affects readability, and the opening sentence title "ノーベル賞受賞者John Jumper、DeepMindからAnthropicに移籍" slightly overlaps with the first paragraph of the body.

Conclusion: Version A is overall better than Version B, with clearer structure and smoother language, suitable for direct use. Version B is consistent in terminology but slightly inferior in format and fluency.