Text + image + audio + video in a single API call. Here's what actually works.
Multimodal AI — processing text, images, audio, and video together — has gone from demo curiosity to production capability. Models can now analyze charts, transcribe meetings, understand screenshots, and process video clips alongside text. But not all multimodal implementations are equal. We tested which models actually handle mixed media well versus which just check the feature box.
Not all models support the same input types. The current landscape:
Text + Image: GPT-5.4, Claude Opus 4.6, Claude Sonnet 4.6, Gemini 3.1 Pro. All handle this well.
Text + Image + Audio: Gemini 3.1 Pro, Amazon Nova models. Most others require separate ASR.
Text + Image + Audio + Video: Gemini 3.1 Pro only at the frontier level. Gemini processes video natively, while others require frame extraction.
Text + Image + PDF: Claude models, Gemini models. Claude's PDF processing is particularly strong.
The practical gap is widest on audio and video. If your use case involves processing audio or video alongside text, Gemini is currently the only frontier option that handles it natively.
Gemini 3.1 Pro accepts the widest range of input modalities in a single API call: text, images, audio files, video clips, and PDFs. This isn't just a feature checklist — the quality of multimodal understanding is genuinely strong.
Image analysis handles charts, screenshots, documents, and photographs with high accuracy. Audio processing includes transcription and understanding of spoken content. Video processing can analyze clips for visual content, on-screen text, and audio simultaneously.
For applications that need to process mixed media — document understanding, meeting analysis, social media monitoring, accessibility tools — Gemini's unified multimodal API simplifies architecture significantly.
While Gemini handles more modalities, Claude Opus 4.6 arguably produces better analysis of images combined with text. Screenshot understanding, diagram interpretation, UI analysis, and document OCR are all areas where Claude's vision capabilities shine.
The difference is subtle but meaningful: Claude tends to produce more detailed, nuanced descriptions of visual content and is better at understanding the relationship between visual elements and their meaning. For developer tools that analyze UI screenshots, architecture diagrams, or code editor captures, Claude's vision is the most useful.
Xiaomi's MiMo-V2-Omni offers text + image processing at zero cost. At 43.4 intelligence, it's competitive with budget paid models while adding vision capability that most free models lack.
The quality isn't at Claude or Gemini's level, but for basic image analysis — reading text in images, identifying objects, describing scenes — it's functional and free. For prototyping multimodal applications before committing to a paid provider, MiMo-V2-Omni is a useful starting point.
The most valuable multimodal applications in production today:
Document processing: Extracting data from scanned documents, receipts, invoices. Claude and Gemini both excel here.
Code review from screenshots: Understanding UI mockups and generating code. Claude's vision + coding combination is strongest.
Meeting analysis: Processing audio/video recordings to extract action items and summaries. Gemini handles this natively.
Accessibility: Describing images for visually impaired users, transcribing audio for hearing impaired users. Any major model handles this well.
E-commerce: Analyzing product photos, extracting attributes, generating descriptions. Vision capabilities in all frontier models make this straightforward.
Multimodal capabilities tested on standardized inputs across all models. Quality assessed on image analysis, document OCR, and audio understanding tasks. Modality support verified through actual API calls, not marketing claims.
Gemini 3.1 Pro for the widest multimodal support (text+image+audio+video). Claude Opus 4.6 for the best text+image analysis quality. MiMo-V2-Omni for free multimodal. The winner depends on which modalities you need — for image+text only, any frontier model works. For audio and video, Gemini is the only choice.
Published June 9, 2026. Data updated daily from independent benchmarks and API providers.