LLM Reference

The summarization leaderboard · for knowledge workers

Best for summarization

4 editor picks · 8 eligible models · Faithful, structured, no hallucinated bullets.

Editorial pick plus benchmark and API pricing context.

See raw /best
EDITOR'S CHOICEResearched 50d ago

Gemini 3 Flash

Google DeepMind · 1m context
Excellent

Faithful, structured, cheap — and it won't invent bullets.

1M context plus MMLU-Pro 88.6 at $3 out — handles a 500-page transcript faithfully without breaking the budget.

Open model
The numbers
$/1M out
$3.00
$0.50 input
Context
1m
max window
Pros
  • +1M context for whole-doc summaries
  • +Faithful, well-structured
  • +$3 / 1M out
Cons
  • −Less nuanced than Opus on subtext

Also worth picking

The runners-up

ranked by editorial pick orderEditorial tiersExcellentStrongSolid
#2
Claude Haiku 4.5
Anthropic · 200k
$4.00 / 1M out
Best faithfulness-per-dollar in the Claude line; doesn't hallucinate bullet points.
#3
DeepSeek V4 Flash
DeepSeek · 1m
$0.18 / 1M out
$0.22 out with a 1M window — the high-volume async summarizer.
#4
Claude Sonnet 4.6
Anthropic · 1m
$15.00 / 1M out
Highest-fidelity option when the summary is going in front of a customer.

Eligibility

8 models are eligible for this board

Eligibility means tagged with useCases: [summarization]. Pins must come from this pool.

All picks