Multimodal

dsh-vision-router is a DeepSeek Harness (DSH) plugin that gives text-only agents eyes by routing image turns to a separate vision model while DeepSeek stays the reasoning brain. It installs with one command, needs no Python and no API key, and ships 14 deep vision tools plus cached visual memory so a text-only agent genuinely remembers earlier images without re-spending vision calls. What is dsh-vision-router and why text-only DeepSeek agents need eyes DeepSeek Harness is a local agent framework built around DeepSeek models. Many of its most popular models, including deepseek-v4-flash, are text-only: they declare inputModalities: ["text"] and simply cannot accept image attachments. That is a real limitation for agent work, because a growing share of tasks — reading a screenshot, checking a rendered UI, verifying a chart, OCRing a receipt — are fundamentally visual. ...

GPT-5 Turbo — OpenAI’s fast, efficient variant marketed as GPT-5 mini and later GPT-5.4 mini — delivers native multimodal input (images and audio in a single API call), strict JSON structured outputs, and 400K-token context at roughly $0.15 per million input tokens. It is the practical choice for production applications where cost and latency matter more than raw intelligence ceiling. What Is GPT-5 Turbo? OpenAI’s Fast, Multimodal Model Explained GPT-5 Turbo refers to the fast, cost-optimized tier of OpenAI’s GPT-5 family — officially shipped as GPT-5 mini (August 7, 2025) and its successor GPT-5.4 mini (March 17, 2026). Just as GPT-4 Turbo was the speed-and-price-optimized version of GPT-4, GPT-5 Turbo is the developer-friendly workhorse of the fifth generation. GPT-5.4 mini runs more than 2x faster than the original GPT-5 mini while approaching flagship GPT-5.4 performance on reasoning and coding benchmarks. The model supports text, images, and audio natively — no add-on vision API, no separate speech-to-text pipeline. Context window reaches 400K tokens, more than 3x the 128K cap on GPT-4o mini. Pricing sits at approximately $0.15 per million input tokens and $0.60 per million output tokens. For developers building RAG pipelines, voice assistants, or document-parsing agents, GPT-5.4 mini hits the sweet spot between the budget Gemini Flash tier and the premium GPT-5.5 flagship. The result is a model that most real-world production apps can actually afford to run at scale. ...