Multimodal LLMs With an API
As of August 2026, AIDiveForge tracks 3 multimodal llms with an api. The top three by verified-data score are ChatLLM, Claude Sonnet 4.5, and Llama 4 Scout. Curated multimodal llms with an api tracked by AIDiveForge. Listings are verified against each tool's live website and re-checked regularly.
Last updated July 17, 2026 · 3 tools
Ranked by AIDiveForge's verified-data score: data completeness, verification recency, community rating, and real visitor engagement. How we rank · No tool can pay for placement.
1. ChatLLM
The core workflow is model selection plus prompt — pick from the available pool, type, and get streaming responses without touching API keys or billing dashboards. Real-time web search and persistent memory across conversations cover two gaps that kill single-model chat tools for ongoing research or support use. The App Builder mode generates full-stack code directly in the browser, which closes the loop for developers who want to go from spec to working prototype without leaving the tab. Where it breaks: this is a chat interface, not an automation layer — there are no agent loops, no tool-use chains, and no self-hosting. Teams that need their data to stay on-premise have no path forward here.
Paid$4/monthAPIVerified Jul 17, 2026
2. Claude Sonnet 4.5
Claude Sonnet 4.5 is a large language model from Anthropic with particular strengths in software coding, agentic tasks where it runs in a loop and uses tools, and in using computers. The model maintains focus for more than 30 hours on complex, multi-step tasks. Pricing remains the same as Claude Sonnet 4, at $3/$15 per million tokens. It is the most aligned frontier model Anthropic has released, showing large improvements across several areas of alignment compared to previous Claude models.
Paid$20/moAPI200k tokens context$3/1M inputVerified May 15, 2026
3. Llama 4 Scout
Scout carries a 10M token context window, meaning you can feed it an entire codebase or a stack of legal documents in a single pass without chunking pipelines or retrieval hacks. Maverick trades raw context depth for stronger multimodal reasoning, handling interleaved image and text inputs through native early-fusion architecture rather than a bolted-on vision adapter. Both models ship as open weights, downloadable from Hugging Face after license acceptance, with no API bill required if you run them yourself. The ceiling appears at inference: the Mixture-of-Experts architecture demands hardware that most teams do not have sitting idle, and running Scout's full 10M context window in practice requires significant GPU memory that a standard cloud instance will not cover.
FreeOpen SourceAPISelf-hosted131.1k tokens context$0.11/1M inputVerified Jun 4, 2026
Listings on this page are sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent — no money changes hands for inclusion.