#multimodal-ai

Gemma 4 12B processes text, image, audio, and video with no separate encoders, fitting in ~7GB at 4-bit. A guide to running private multimodal agents locally.

Cross-modal benchmark scores — image understanding, video, OCR, ASR, code-with-vision — across GPT-5.5, Gemini 3, Claude 4.7, Qwen 3.5 Omni. 80+ data cells.

Google Gemma 4 complete guide covering all four variants from 2.3B to 31B parameters. Apache 2.0 license, 128K-256K context, multimodal, Arena #3 open model.

Comparing omnimodal AI models: Qwen 3.5-Omni, Gemini 3.1 Pro, and GPT-5.4 across text, image, audio, and video tasks. Benchmarks and use case analysis.

GPT-5.4 Mini launches for free-tier ChatGPT users with 54.38% SWE-Bench Pro performance, only 3 points behind full GPT-5.4. 2x faster guide.

DeepSeek V4 launches with approximately 1 trillion parameters, 1M context window, and Huawei Ascend optimization. China's frontier multimodal model analysis.

ByteDance Seed 2.0 Pro scores 98.3 on AIME25, 87.8 on LiveCodeBench, and 3020 Codeforces. Full benchmarks, agentic capabilities, and Volcano Engine API.

Qwen 3.5-397B scores 83.6 on LiveCodeBench v6 and 91.3 on AIME26 with 17B active MoE params. Benchmarks vs GPT-5.2, Claude, and pricing details.

Leverage multimodal AI in marketing: GPT-5.2, Gemini 3 Pro, Claude for image, video, and audio content. Real use cases and implementation strategies.

Gemini 3 Flash delivers 78% SWE-bench at $0.50/1M tokens—1/4 the cost of Pro. Developer guide covering 1M context, thinking levels, and API integration.

Master Mistral 3's 10-model family. Large 3 (675B params), Ministral 3. First open frontier with multimodal + multilingual. Apache 2.0 guide.

Gemini 2.5 Flash Image and Nano Banana guide with 2026 caveats on newer Gemini image models, prompting, API integration, and use cases.