Swallow - Post-trained English - Average: leaderboard

From the Swallow LLM Leaderboard (Institute of Science Tokyo) post-trained English board, a Swallow-harness rerun that evaluates instruction-tuned and reasoning models. Unweighted mean of HellaSwag, IFBench, MMLU-Pro, GPQA Diamond, MATH-500, AIME 2024-2025 and LiveCodeBench v6. Upstream publishes 0-1 scores; shown as 0-100, higher is better.

Metric: Average Score (%). Source: swallow-llm.github.io. Saturation forecast: Estimated already saturated. 68 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 4 31B (IT) (Thinking)87.4#178 (Gemma 4 31B (IT))
2GPT-5.4 (2026-03-05) (Medium)86.4#63 (GPT-5.4 (2026-03-05))
3GPT-5 (Medium)85.4#105 (GPT-5)
4gemma-4-26B-A4B-it (Thinking)84.1
5Qwen 3.5 27B (Thinking)83.1#192 (Qwen 3.5 27B)
6Qwen 3.5 122B A10B (Thinking)83.1#184 (Qwen 3.5 122B A10B)
7O3 (2025-04-16) (Medium)83.1#125 (O3 (2025-04-16))
8NVIDIA-Nemotron-3-Super-120B-A12B-BF16 (Thinking)82.5#394 (NVIDIA-Nemotron-3-Super-120B-A12B-BF16)
9Qwen 3 235B A22B 2507 (Thinking)81.3#263
10Qwen 3.5 35B A3B (Thinking)81#268 (Qwen 3.5 35B A3B)
11GPT-5 Mini (2025-08-07) (Medium)81#175 (GPT-5 Mini (2025-08-07))
12Qwen 3 Next 80B A3B (Thinking)80.9#312
13GPT-OSS-Swallow-120B-RL-v0.1 (Thinking)78.2#309 (GPT-OSS-Swallow-120B-RL-v0.1)
14GPT-OSS-120B (Medium)76.8#346 (GPT-OSS-120B)
15Qwen3-Swallow-32B-RL-v0.2 (Thinking)76.3#374 (Qwen3-Swallow-32B-RL-v0.2)

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-english-average · How It Works · Data refreshed daily, snapshot 2026-11-05.