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LVBench

We show this table for reference; we do not rank on it.

Data verified

A long-video understanding benchmark for retrieving and reasoning over information distributed across extended video inputs.

Benchmark score on LVBench — November 13, 2026

We compile the LVBench rows from provider self-reports. Gemini 4 Argon leads the table at 91.7%, followed by Gemini 3.8 Flash (87.1%) and Gemini 3.7 Flash (85.4%). We do not use these results to rank models overall.

7 modelsMultimodal & GroundedCurrentDisplay onlyUpdated November 13, 2026

Benchmark score table (7 models)

All 7 results on this page were reported by the labs that built the models.

Benchmark score results for LVBench
RankModel / configurationScoreParameters (B)Open / closed
1Gemini 4 ArgonGoogleReported by Google
91.7%
Not reportedClosed
2Gemini 3.8 FlashGoogleReported by Google
87.1%
Not reportedClosed
3Gemini 3.7 FlashGoogleReported by Google
85.4%
Not reportedClosed
4Qwen3.8 MaxAlibabaReported by Alibaba
81.8%
Not reportedOpen
5Qwen3.8-Omni-FlashAlibabaReported by Alibaba
76.9%
Not reportedClosed
6Qwen3.8-Flash-NextAlibabaReported by Alibaba
76.6%
Not reportedOpen
7LFM3-VL-2BLiquidAIReported by LiquidAI
41.2%
Not reportedOpen
  • Lab-reported
  • Benchmark-run
  • Independent
What the labels mean

Among the reported LVBench rows, Gemini 4 Argon is first at 91.7%. The third row is 6.3 points behind. The broader top-10 range is 50.5 points, so the table still separates the published systems.

7 models have been evaluated on LVBench. The benchmark falls in the Multimodal & Grounded category. LVBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About LVBench

Year

2026

Tasks

Long-form video question answering

Format

Long-video understanding score

Difficulty

Extended temporal reasoning

We store Qwen's standard LVBench result without the separate memory system. The provider also reports an LVBench-with-memory row, which remains distinct and is not collapsed into this value.

Freshness and provenance

Version

LVBench 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does LVBench measure?

A long-video understanding benchmark for retrieving and reasoning over information distributed across extended video inputs.

Which model scores highest on LVBench?

Gemini 4 Argon by Google currently leads with a score of 91.7% on LVBench.

How many models are evaluated on LVBench?

7 AI models have published results on LVBench in the BenchLM catalog.

Last updated: November 13, 2026 · BenchLM version LVBench 2026

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