# Best LLM for Summarization > Updated Oct 21, 2026 ยท evidence through Oct 21, 2026. Synthesized from cited community evidence and open benchmarks, not vendor marketing. Canonical page: https://modelmatchbook.com/best/summarization Gemini 4 Argon ranks first for Summarization as of October 21, 2026. It ranks #1 of 151 on LMArena's long-query category (Elo 1547), based on blind human preference for longer prompts. Gemini 3.7 Flash is the next-ranked alternative. It scores 79.93% on LiveBench Instruction Following (#2 of 59), including paraphrasing, simplifying, story generation, and summarization. [1,2] ## 1. Gemini 4 Argon https://modelmatchbook.com/models/google/gemini-4-argon-20261013 Gemini 4 Argon ranks #1 of 151 on LMArena's long-query category (Elo 1547), based on blind human preference for longer prompts. **Best when:** Its strongest result for this task is on LMArena Long Query, which measures handling long, detailed prompts. [1] ## 2. Gemini 3.7 Flash https://modelmatchbook.com/models/google/gemini-3.7-flash-20260813 Gemini 3.7 Flash scores 79.93% on LiveBench Instruction Following (#2 of 59), including paraphrasing, simplifying, story generation, and summarization. **Best when:** Its strongest result for this task is on LiveBench Instruction Following, which measures following detailed instructions exactly. [2] ## 3. Gemini 3.8 Flash https://modelmatchbook.com/models/google/gemini-3.8-flash-20260902 Gemini 3.8 Flash scores 81.41% on LiveBench Instruction Following (#1 of 59), including paraphrasing, simplifying, story generation, and summarization. **Best when:** Its strongest result for this task is on LiveBench Instruction Following, which measures following detailed instructions exactly. [4] ## 4. Claude Fable 5.1 https://modelmatchbook.com/models/anthropic/claude-fable-5.1-20260831 Claude Fable 5.1 ranks #2 of 34 on LMArena's document arena (score 1513), based on blind preference for document tasks. **Best when:** Its strongest result for this task is on LMArena Document, which measures answering questions about uploaded documents. [5] ## 5. GPT-6.1 Sol https://modelmatchbook.com/models/openai/gpt-6.1-sol-20260929 GPT-6.1 Sol scores 82.4% on FACTS Grounding (#2 of 44), measuring factual support against supplied source material. **Best when:** Its strongest result for this task is on FACTS Grounding, which measures staying faithful to supplied source documents. [6] ## 6. Gemma 4 26B A4B https://modelmatchbook.com/models/google/gemma-4-26b-a4b-it-20260403 Gemma 4 26B A4B scores 80.9% on FACTS Grounding (#4 of 44), measuring factual support against supplied source material. **Best when:** Its strongest result for this task is on FACTS Grounding, which measures staying faithful to supplied source documents. [3] ## 7. Qwen3.7 Max https://modelmatchbook.com/models/qwen/qwen3.7-max-20260520 Moderate performance across preference benchmarks with competitive factuality ranking. **Best when:** Use when factual accuracy matters: ranks #11 on LMArena factuality text view (Elo 1480). [7] ## 8. GPT-6 Astra https://modelmatchbook.com/models/openai/gpt-6-astra-20260903 Strong source grounding and competitive LiveBench performance, with middling preference rankings. **Best when:** Use for source-critical summarization: scores 82% on FACTS Grounding (#3 of 44). [8] **More tips:** - Deploy for instruction-following summarization: scores 75.58% on LiveBench Instruction Following (#7 of 59). [9] **Watch out for:** - Expect lower blind preference on long queries: ranks #37 on LMArena long-query category (Elo 1460). [10] ## FAQ **What is the best model for Summarization?** Gemini 4 Argon ranks first as of October 21, 2026. Gemini 4 Argon ranks #1 of 151 on LMArena's long-query category (Elo 1547), based on blind human preference for longer prompts. [1] **What is the best alternative to Gemini 4 Argon?** Gemini 3.7 Flash ranks second. Gemini 3.7 Flash scores 79.93% on LiveBench Instruction Following (#2 of 59), including paraphrasing, simplifying, story generation, and summarization. [2] **Which open-weight model ranks highest for Summarization?** Gemma 4 26B A4B is the highest-ranked open-weight model, at #6. Gemma 4 26B A4B scores 80.9% on FACTS Grounding (#4 of 44), measuring factual support against supplied source material. [3] ## Sources 1. "Within the 151 catalog models matched to this evaluation: Ranks #1 of 151 on LMArena's long-query category (Elo 1547), based on blind human preference for longer prompts." (LMArena long-query category, https://lmarena.ai/leaderboard) 2. "Within the 59 catalog models matched to this evaluation: Scores 79.93% on LiveBench Instruction Following (#2 of 59), including paraphrasing, simplifying, story generation, and summarization." (LiveBench Instruction Following, https://livebench.ai/) 3. "Within the 44 catalog models matched to this evaluation: Scores 80.9% on FACTS Grounding (#4 of 44), measuring factual support against supplied source material." (FACTS Grounding, https://www.kaggle.com/benchmarks/google/facts-grounding) 4. "Within the 59 catalog models matched to this evaluation: Scores 81.41% on LiveBench Instruction Following (#1 of 59), including paraphrasing, simplifying, story generation, and summarization." (LiveBench Instruction Following, https://livebench.ai/) 5. "Within the 34 catalog models matched to this evaluation: Ranks #2 of 34 on LMArena's document arena (score 1513), based on blind preference for document tasks." (LMArena document arena, https://lmarena.ai/leaderboard) 6. "Within the 44 catalog models matched to this evaluation: Scores 82.4% on FACTS Grounding (#2 of 44), measuring factual support against supplied source material." (FACTS Grounding, https://www.kaggle.com/benchmarks/google/facts-grounding) 7. "Within the 112 catalog models matched to this evaluation: Ranks #11 of 112 on LMArena's factuality text view (Elo 1480), where answers are judged for factual accuracy in blind comparison." (LMArena text factuality, https://lmarena.ai/leaderboard) 8. "Within the 44 catalog models matched to this evaluation: Scores 82% on FACTS Grounding (#3 of 44), measuring factual support against supplied source material." (FACTS Grounding, https://www.kaggle.com/benchmarks/google/facts-grounding) 9. "Within the 59 catalog models matched to this evaluation: Scores 75.58% on LiveBench Instruction Following (#7 of 59), including paraphrasing, simplifying, story generation, and summarization." (LiveBench Instruction Following, https://livebench.ai/) 10. "Within the 151 catalog models matched to this evaluation: Ranks #37 of 151 on LMArena's long-query category (Elo 1460), based on blind human preference for longer prompts." (LMArena long-query category, https://lmarena.ai/leaderboard)