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BenchLM

OmniDocBench 1.5

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

Data verified 34 confirmed releases in the last 30 daysFollow model changes

A document understanding benchmark used in frontier-model comparison tables to measure extraction and grounded reasoning quality on complex documents.

Benchmark score on OmniDocBench 1.5 — September 27, 2026

We compile the OmniDocBench 1.5 rows from provider self-reports. Qwen3.8 Max leads the table at 92.1%, followed by MiniMax M3 (91.6%) and Qwen3.7 Plus (91.4%). We do not use these results to rank models overall.

1Open weights

Qwen3.8 Max

Alibaba

92.1%
Overall 71.8Context 1M
2Open weights

MiniMax M3

MiniMax

91.6%
Overall 54.86Context 1M
3Proprietary

Qwen3.7 Plus

Alibaba

91.4%
Overall 55.78Context 1M

6 modelsMultimodal & GroundedCurrentDisplay onlyUpdated September 27, 2026

Benchmark score table (6 models)

Score
1
Qwen3.8 MaxAlibaba · Open weight
92.1%
2
MiniMax M3MiniMax · Open weight
91.6%
3
Qwen3.7 PlusAlibaba · Closed
91.4%
4
Qwen3.8-27BAlibaba · Open weight
91.1%
5
Qwen3.6-35B-A3BAlibaba · Open weight
89.9%
6
Muse Glimmer 30BMeta · Open weight
75.8%

Among the reported OmniDocBench 1.5 rows, Qwen3.8 Max is first at 92.1%. The third row is 0.7 points behind. The broader top-10 range is 16.3 points, so the table still separates the published systems.

6 models have been evaluated on OmniDocBench 1.5. The benchmark falls in the Multimodal & Grounded category. OmniDocBench 1.5 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About OmniDocBench 1.5

Year

2026

Tasks

Document understanding tasks

Format

Document understanding benchmark

Difficulty

Grounded document reasoning

BenchLM stores OmniDocBench 1.5 as the higher-is-better score format used in current first-party comparison tables. Earlier low-is-better error-style rows are intentionally not mixed into this benchmark key.

Introducing GPT-5.4 mini and nano

Freshness and provenance

Version

OmniDocBench 1.5 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 OmniDocBench 1.5 measure?

A document understanding benchmark used in frontier-model comparison tables to measure extraction and grounded reasoning quality on complex documents.

Which model scores highest on OmniDocBench 1.5?

Qwen3.8 Max by Alibaba currently leads with a score of 92.1% on OmniDocBench 1.5.

How many models are evaluated on OmniDocBench 1.5?

6 AI models have been evaluated on OmniDocBench 1.5 on BenchLM.

Compare top models on OmniDocBench 1.5

Qwen3.8 Max vs MiniMax M3MiniMax M3 vs Qwen3.7 PlusQwen3.7 Plus vs Qwen3.8-27BQwen3.8-27B vs Qwen3.6-35B-A3B
Last updated: September 27, 2026 · BenchLM version OmniDocBench 1.5 2026

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