Part of Best LLM for Summarization
Best LLM for Document Summarization
Gemini 4 Argon ranks first for Document Summarization as of October 20, 2026.[1][2][3][4][5] Ranks #1 on LMArena's long-query category (Elo 1546) and factuality text view (Elo 1511), with strong grounding at 78.6% on FACTS Grounding. Watch out: Verify against source documents, as its 78.6% on FACTS Grounding places it at #6, below several competitors on grounding-specific tasks. Gemini 3.8 Flash is the next-ranked alternative. Leads LiveBench Instruction Following at 81.41% (#1 of 59) including summarization tasks, with solid long-query performance at #7 (Elo 1507).
- Best non-Google pick: Claude Fable 5.1 (#4)
- Best open-weight pick: Gemma 4 26B A4B (#6)
- Compare Gemini 4 Argon vs Gemini 3.8 Flash →
About this recommendation
- Updated
- Evidence through
- Sources
- 26
- Revision
- v104
Decision audit
Why this result
Inspect the inputs and the computed order behind the recommendation.
Models screened
24
live candidates
Evaluation feeds
6
task-weighted
Winner coverage
45%
intended feed weight
Largest provider share
4 of 8
Google: Gemini 4 Argon leads the measured task comparison with 2 independent evaluation families. Community volume, release age and usage popularity add no ranking points.
Real-world track record is still developing. The recommendation can lead on independent measurements while practitioner reports accumulate.
Sources evaluated
These are the weights used in scoring. Missing measurements are omitted from each model’s average. A feed with no result for any model released in the last 60 days is stale and does not score until it catches up.
| Evaluation feed | Weight | Winner result | Field measured |
|---|---|---|---|
| FACTS GroundingObserved 2026-10-12 · evaluated 2026-10-12 · Gemini 4 Argon | 29% | #6 | 14/24 |
| LiveBench Instruction Followingfailing; last successful check 2026-10-18 | 24% | not measured | 20/24 |
| LMArena Document | 24% | not measured | 7/24 |
| LongBench v2disabled; last successful check unknownunavailable | 0% | feed unavailable | 0/24 |
| LMArena Long QueryObserved 2026-10-15 · evaluation date not supplied · high effort | 12% | #1 | 24/24 |
| LMArena Text FactualityObserved 2026-10-15 · evaluation date not supplied · high effort | 12% | #1 | 24/24 |
Provider concentration
Each exact model is scored separately; provider identity is not a ranking input.
- Google4 models
- Anthropic1 model
- Meta1 model
- OpenAI1 model
- Qwen1 model
Decision table
Every published model is shown in computed order. Practitioner sources are distinct community threads, not the citations repeated in the prose below.
Google · coverage 45%
#1 LMArena Long Query · #1 LMArena Text Factuality
Google · coverage 65%
#1 LiveBench Instruction Following · #7 LMArena Long Query
Google · coverage 65%
#2 LiveBench Instruction Following · #9 FACTS Grounding
Anthropic · coverage 60%
#2 LMArena Document · #3 LMArena Long Query
OpenAI · coverage 65%
#2 FACTS Grounding · #11 LiveBench Instruction Following
Google · coverage 45%
#4 FACTS Grounding · #58 LMArena Text Factuality
Meta · coverage 40%
#10 LiveBench Instruction Following · #11 LMArena Text Factuality
Qwen · coverage 40%
#12 LiveBench Instruction Following · #12 LMArena Text Factuality
Task score averages the available, task-weighted measurements. Benchmark positions compare models matched to our catalog. Models measured by at least two independent evaluator families are considered first. Missing tests, practitioner report counts, popularity and release age add no points. Coverage describes evidence breadth, not a probability of correctness. Scores within two points are shown as close under this policy; this is not a statistical confidence interval. When the leading scores are that close, the model measured by more evaluator families ranks first.
- 01
Gemini 4 ArgonGoogle · $2 in / $10 out per M tokens · 1.0M context
Ranks #1 on LMArena's long-query category (Elo 1546) and factuality text view (Elo 1511), with strong grounding at 78.6% on FACTS Grounding.
Best when: Deploy when factual accuracy is critical, as it ranks #1 on LMArena's factuality view among 111 models.Watch out for
- Verify against source documents, as its 78.6% on FACTS Grounding places it at #6, below several competitors on grounding-specific tasks.
- 02
Gemini 3.8 FlashGoogle · $0.83 in / $4.13 out per M tokens · 1.0M context
Leads LiveBench Instruction Following at 81.41% (#1 of 59) including summarization tasks, with solid long-query performance at #7 (Elo 1507).
Best when: Use for longer documents where it ranks #7 on LMArena's long-query preference.Watch out for
- Check factuality carefully on source-grounded tasks, as its 73.1% on FACTS Grounding ranks #13 and its factuality view drops to #18 (Elo 1474).
- 03
Gemini 3.7 FlashGoogle · $0.75 in / $3.75 out per M tokens · 1.0M context
Ranks #2 on LiveBench Instruction Following at 79.93% with balanced performance across LMArena categories including #12 on long-query (Elo 1492).
Best when: Deploy for long documents where it ranks #12 on LMArena's long-query preference.Watch out for
- Verify outputs against sources, as its 75.5% on FACTS Grounding ranks #9 and its factuality view sits at #17 (Elo 1475).
- 04
Claude Fable 5.1Anthropic · $10 in / $50 out per M tokens · 1M context
Ranks #2 on LMArena's document arena (score 1513) and #3 on long-query (Elo 1523), with strong factuality at #3 (Elo 1498).
Best when: Prioritize for document-specific tasks where blind judges ranked it #2 of 34 on LMArena's document arena.More tips
- Use for long documents where it ranks #3 on LMArena's long-query category.
Watch out for
- Expect lower instruction-following precision on summarization-specific prompts, as it ranks #14 on LiveBench Instruction Following at 72.99%.
- 05
GPT-6.1 SolOpenAI · $2 in / $10 out per M tokens · 1.1M context
Achieves 82.4% on FACTS Grounding (#2 of 44) for source-grounded summarization, though longer prompts show weaker preference rankings.
Best when: Use when factual grounding against supplied documents is paramount, as its 82.4% on FACTS Grounding trails only one model.Watch out for
- Check factuality in open-ended generation, as its factuality view ranks #30 (Elo 1465) despite strong grounding scores.
- 06
Gemma 4 26B A4B Google · $0.090 in / $0.30 out per M tokens · 262K context · open-weight
Open-weight model with 80.9% on FACTS Grounding (#4 of 44) for source-grounded tasks, though LMArena rankings fall to the mid-60s.
Best when: Select as an open-weight option when factual grounding matters, scoring 80.9% on FACTS Grounding.Watch out for
- Expect lower human preference on long documents, ranking #64 on LMArena's long-query category (Elo 1427).
- Verify factuality in open-ended summarization, as its factuality view ranks #58 (Elo 1444).
- 07
Muse Spark 1.2Meta · $1.25 in / $4.25 out per M tokens · 1.0M context
Ranks #10 on LMArena's overall text arena (Elo 1493) with #11 on factuality (Elo 1481), though long-query preference drops to #27.
Best when: Use for general summarization where it ranks #10 overall and #11 on factuality among 111 models.More tips
- Deploy for instruction-following summarization tasks where it scores 74.33% on LiveBench (#10 of 59).
Watch out for
- Test carefully on very long documents, as its long-query ranking falls to #27 (Elo 1476).
- 08
Qwen3.7 MaxQwen · $1.48 in / $4.42 out per M tokens · 1M context
Ranks #12 on LMArena's factuality view (Elo 1480) with balanced performance across categories, placing #19 on long-query (Elo 1482).
Best when: Use when factual accuracy is a priority, ranking #12 on LMArena's factuality view.More tips
- Deploy for instruction-following summarization where it scores 74.04% on LiveBench (#12 of 59).
Watch out for
- Expect moderate overall preference, ranking #29 on LMArena's overall text arena (Elo 1474).
Frequently asked
- What is the best model for Document Summarization?
- Gemini 4 Argon ranks first as of October 20, 2026. Ranks #1 on LMArena's long-query category (Elo 1546) and factuality text view (Elo 1511), with strong grounding at 78.6% on FACTS Grounding.[1][2][3]
- What should I watch out for with Gemini 4 Argon?
- Verify against source documents, as its 78.6% on FACTS Grounding places it at #6, below several competitors on grounding-specific tasks.[3]
Sources
- 1
“Within the 152 catalog models matched to this evaluation: Ranks #1 of 152 on LMArena's long-query category (Elo 1546), based on blind human preference for longer prompts.”
LMArena long-query category · Benchmark · Oct 15, 2026 - 2
“Within the 111 catalog models matched to this evaluation: Ranks #1 of 111 on LMArena's factuality text view (Elo 1511), where answers are judged for factual accuracy in blind comparison.”
LMArena text factuality · Benchmark · Oct 15, 2026 - 3
“Within the 44 catalog models matched to this evaluation: Scores 78.6% on FACTS Grounding (#6 of 44), measuring factual support against supplied source material.”
FACTS Grounding · Benchmark · Oct 12, 2026 - 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 · Benchmark · Oct 18, 2026 - 5
“Within the 152 catalog models matched to this evaluation: Ranks #7 of 152 on LMArena's long-query category (Elo 1507), based on blind human preference for longer prompts.”
LMArena long-query category · Benchmark · Oct 15, 2026 - 6
“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 · Benchmark · Oct 20, 2026 - 7
“Within the 152 catalog models matched to this evaluation: Ranks #64 of 152 on LMArena's long-query category (Elo 1427), based on blind human preference for longer prompts.”
LMArena long-query category · Benchmark · Oct 15, 2026 - 8
“Within the 152 catalog models matched to this evaluation: Ranks #64 of 152 on LMArena's overall text arena (Elo 1438), based on blind human preference votes.”
LMArena text arena · Benchmark · Oct 15, 2026 - 9
“Within the 111 catalog models matched to this evaluation: Ranks #18 of 111 on LMArena's factuality text view (Elo 1474), where answers are judged for factual accuracy in blind comparison.”
LMArena text factuality · Benchmark · Oct 15, 2026 - 10
“Within the 44 catalog models matched to this evaluation: Scores 73.1% on FACTS Grounding (#13 of 44), measuring factual support against supplied source material.”
FACTS Grounding · Benchmark · Sep 3, 2026 - 11
“Within the 152 catalog models matched to this evaluation: Ranks #12 of 152 on LMArena's long-query category (Elo 1492), based on blind human preference for longer prompts.”
LMArena long-query category · Benchmark · Oct 15, 2026 - 12
“Within the 111 catalog models matched to this evaluation: Ranks #17 of 111 on LMArena's factuality text view (Elo 1475), where answers are judged for factual accuracy in blind comparison.”
LMArena text factuality · Benchmark · Oct 15, 2026 - 13
“Within the 44 catalog models matched to this evaluation: Scores 75.5% on FACTS Grounding (#9 of 44), measuring factual support against supplied source material.”
FACTS Grounding · Benchmark · Aug 27, 2026 - 14
“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 · Benchmark · Sep 13, 2026 - 15
“Within the 152 catalog models matched to this evaluation: Ranks #3 of 152 on LMArena's long-query category (Elo 1523), based on blind human preference for longer prompts.”
LMArena long-query category · Benchmark · Oct 15, 2026 - 16
“Within the 59 catalog models matched to this evaluation: Scores 72.99% on LiveBench Instruction Following (#14 of 59), including paraphrasing, simplifying, story generation, and summarization.”
LiveBench Instruction Following · Benchmark · Oct 18, 2026 - 17
“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 · Benchmark · Oct 13, 2026 - 18
“Within the 111 catalog models matched to this evaluation: Ranks #30 of 111 on LMArena's factuality text view (Elo 1465), where answers are judged for factual accuracy in blind comparison.”
LMArena text factuality · Benchmark · Oct 15, 2026 - 19
“Within the 111 catalog models matched to this evaluation: Ranks #58 of 111 on LMArena's factuality text view (Elo 1444), where answers are judged for factual accuracy in blind comparison.”
LMArena text factuality · Benchmark · Oct 15, 2026 - 20
“Within the 152 catalog models matched to this evaluation: Ranks #10 of 152 on LMArena's overall text arena (Elo 1493), based on blind human preference votes.”
LMArena text arena · Benchmark · Oct 15, 2026 - 21
“Within the 111 catalog models matched to this evaluation: Ranks #11 of 111 on LMArena's factuality text view (Elo 1481), where answers are judged for factual accuracy in blind comparison.”
LMArena text factuality · Benchmark · Oct 15, 2026 - 22
“Within the 59 catalog models matched to this evaluation: Scores 74.33% on LiveBench Instruction Following (#10 of 59), including paraphrasing, simplifying, story generation, and summarization.”
LiveBench Instruction Following · Benchmark · Oct 18, 2026 - 23
“Within the 152 catalog models matched to this evaluation: Ranks #27 of 152 on LMArena's long-query category (Elo 1476), based on blind human preference for longer prompts.”
LMArena long-query category · Benchmark · Oct 15, 2026 - 24
“Within the 111 catalog models matched to this evaluation: Ranks #12 of 111 on LMArena's factuality text view (Elo 1480), where answers are judged for factual accuracy in blind comparison.”
LMArena text factuality · Benchmark · Oct 15, 2026 - 25
“Within the 59 catalog models matched to this evaluation: Scores 74.04% on LiveBench Instruction Following (#12 of 59), including paraphrasing, simplifying, story generation, and summarization.”
LiveBench Instruction Following · Benchmark · Oct 18, 2026 - 26
“Within the 152 catalog models matched to this evaluation: Ranks #29 of 152 on LMArena's overall text arena (Elo 1474), based on blind human preference votes.”
LMArena text arena · Benchmark · Oct 15, 2026
Rankings synthesized from community evidence and open benchmarks. See methodology. Not driven by vendor marketing.