Swallow - Post-trained Japanese - WMT20 En-Ja: leaderboard

From the Swallow LLM Leaderboard (Institute of Science Tokyo) post-trained Japanese board, which evaluates instruction-tuned and reasoning models with the Swallow evaluation harness. English-to-Japanese news translation from WMT20, zero-shot with a chain-of-thought prompt, scored with corpus BLEU (0-100, higher is better).

Metric: BLEU. Source: swallow-llm.github.io. Saturation forecast: Around August 2028. 68 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 4 31B (IT) (Thinking)28.5#178 (Gemma 4 31B (IT))
2GPT-4o (2024-08-06)28.2#343
3gemma-4-26B-A4B-it (Thinking)28
4GPT-4.127.8#258
5O3 (2025-04-16) (Medium)27.6#125 (O3 (2025-04-16))
6Llama-3.3-Swallow-70B-Instruct-v0.427.5#540
7GPT-5 (Medium)27.2#105 (GPT-5)
8GPT-5.4 (2026-03-05) (Medium)27.2#63 (GPT-5.4 (2026-03-05))
9GPT-5 Mini (2025-08-07) (Medium)26.7#175 (GPT-5 Mini (2025-08-07))
10Qwen 3.5 122B A10B (Thinking)26.3#184 (Qwen 3.5 122B A10B)
11GPT-OSS-Swallow-120B-RL-v0.1 (Thinking)26.3#309 (GPT-OSS-Swallow-120B-RL-v0.1)
12GPT-OSS-120B (Medium)26.2#346 (GPT-OSS-120B)
13Gemma 4 E4B (IT) (Thinking)26.1
14Qwen 3 235B A22B 2507 Instruct25.8#315
15Gemma 4 E2B (IT) (Thinking)25.6#779 (Gemma 4 E2B (IT))

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=swallow-post-trained-japanese-wmt20-en-ja · How It Works · Data refreshed daily, snapshot 2026-11-05.