Multimodal AI Benchmarks 2025: GPT-5 vs Gemini 3 vs Claude 4
Comprehensive benchmark comparison of the top multimodal AI models across vision, audio, video, and cross-modal reasoning tasks.
Benchmark Overview
We compiled results from 12 multimodal benchmarks spanning vision, audio, video, and cross-modal reasoning. Models tested: GPT-5, Gemini 3 Pro, Claude 4, Llama 4 Multimodal, and Qwen2.5-VL.
This is the most comprehensive multimodal comparison available, covering 50+ individual metrics across research benchmarks and real-world tasks.
Vision Benchmarks
MMMU (college-level multimodal understanding): Gemini 3 Pro 72.1%, GPT-5 70.8%, Claude 4 68.3%. MathVista (visual math reasoning): GPT-5 68.2%, Gemini 3 Pro 66.9%, Claude 4 63.1%. DocVQA (document understanding): Claude 4 94.2%, Gemini 3 Pro 93.8%, GPT-5 92.1%. ChartQA (chart understanding): Gemini 3 Pro 88.1%, GPT-5 86.5%, Claude 4 85.2%.
Key takeaway: Gemini leads on visual perception, GPT-5 on visual reasoning, Claude on document understanding.
Audio & Video Benchmarks
Speech recognition (WER): GPT-5 2.1%, Gemini 3 Pro 2.4%, Whisper v4 2.6%. Video QA (NExT-QA): Gemini 3 Pro 82.3%, GPT-5 76.1%, Claude 4 71.2%. Audio understanding (MMAU): GPT-5 68.9%, Gemini 3 Pro 66.2%, Claude 4 58.1%.
Gemini 3 Pro's video capabilities are significantly ahead due to its 2M-token context enabling full video processing.
Cross-Modal Reasoning
Cross-modal tasks require integrating multiple modalities: understanding a diagram while reading its caption, or answering questions about a video using audio cues.
Gemini 3 Pro leads (84.2%) due to native multimodal architecture. GPT-5 follows (81.7%) with strong reasoning compensating for slightly lower perception. Claude 4 (76.3%) is competitive but trails on vision-heavy cross-modal tasks.
Summary & Recommendations
No single model dominates all multimodal tasks. Gemini 3 Pro: best for vision and video. GPT-5: best for audio and visual reasoning. Claude 4: best for document analysis.
For production, consider routing different tasks to different models based on their strengths. Compare pricing and performance trade-offs on Vincony.com.