Benchmark

TextVQA Benchmark

What is TextVQA?

TextVQA contains 45,336 questions on 28,408 images that require reasoning about text to answer. Introduced to benchmark VQA models' ability to read and reason…

Released
2019-04-18
Modality
multimodal
Evaluates
multimodal, image to text, vision
Openness
unknown
Importer
LLM Stats
Reported scores
16

Source provenance

TextVQA results and reported scores

LLM Stats

ModelOrganizationReported valueReportedEvidence
DeepSeek VL2DeepSeek0.8422024-12-13evidence
DeepSeek VL2 SmallDeepSeek0.8342024-12-13evidence
DeepSeek VL2 TinyDeepSeek0.8072024-12-13evidence
Gemma 3 12BGoogle0.6772025-03-12evidence
Gemma 3 27BGoogle0.6512025-03-12evidence
Gemma 3 4BGoogle0.5782025-03-12evidence
Grok-1.5VxAI0.7812024-04-12evidence
LFM2.5-VL-3BLiquid AI0.8432026-08-12evidence
Llama 3.2 90B InstructMeta0.7352024-09-25evidence
Nova LiteAmazon0.8022024-11-20evidence
Nova ProAmazon0.8152024-11-20evidence
Phi-3.5-vision-instructMicrosoft0.722024-08-23evidence
Phi-4-multimodal-instructMicrosoft0.7562025-02-01evidence
Qwen2-VL-72B-InstructQwen0.8552024-08-29evidence
Qwen2.5 VL 7B InstructQwen0.8492025-01-26evidence
Qwen2.5-Omni-7BQwen0.8442025-03-27evidence

Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.

Which sources cite TextVQA?

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