MSQA

Progress Over Time

Interactive timeline showing model performance evolution on MSQA

State-of-the-art frontier
Open
Proprietary

MSQA Leaderboard

2 models
ContextCostLicense
1
ByteDance
ByteDance
2
ByteDance
ByteDance
Notice missing or incorrect data?
About this benchmark

What is MSQA?

MSQA is a multilingual question-answering benchmark that measures knowledge and reasoning across a diverse set of languages.

MSQA is a text benchmark evaluating models on reasoning, knowledge, and general tasks. LLM Stats tracks 2 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.5.

Compare leaders on the best AI for reasoning, best AI for knowledge and best AI for general leaderboards.

Current leaders

Seed 2.1 Pro from ByteDance currently leads the MSQA leaderboard with a score of 0.502 across 2 evaluated AI models.

1Seed 2.1 ProByteDance50.2%
2Seed 2.1 TurboByteDance42.0%

FAQ

Common questions about the MSQA benchmark and leaderboard.

What is the MSQA benchmark?

MSQA is a multilingual question-answering benchmark that measures knowledge and reasoning across a diverse set of languages.

What is the MSQA leaderboard?

The MSQA leaderboard ranks 2 AI models based on their performance on this benchmark. Currently, Seed 2.1 Pro by ByteDance leads with a score of 0.502. The average score across all models is 0.461.

What is the highest MSQA score?

The highest MSQA score is 0.502, achieved by Seed 2.1 Pro from ByteDance.

How many models are evaluated on MSQA?

2 models have been evaluated on the MSQA benchmark, with 0 verified results and 2 self-reported results.

What categories does MSQA cover?

MSQA is categorized under reasoning, knowledge, and general. The benchmark evaluates text models with multilingual support.

How recent are the MSQA leaderboard results?

The MSQA leaderboard was last updated in June 2026 and currently includes 2 evaluated models.
MSQA Leaderboard