New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
LLaVA-CoT
About LLaVA-CoT
LLaVA-CoT is an AI model developed by Peking University, in the language category, released in 2024, made available as an open-weights model with 11B params.
On this page you'll find LLaVA-CoT's full specifications. Review provider pricing and benchmark scores below, or compare LLaVA-CoT head-to-head with other language models.
Links
Run LLaVA-CoT locally — what to buy
Share this build ↗Sized to what LLaVA-CoT actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
Community
No reports yet. Own this model on some hardware? Be the first to confirm it runs.
No comments yet. Start the discussion.
More models like LLaVA-CoT
Frequently asked questions
What is LLaVA-CoT? ▶
LLaVA-CoT is an AI model developed by Peking University, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created LLaVA-CoT? ▶
LLaVA-CoT was developed by Peking University and released in 2024.
Is LLaVA-CoT open source or proprietary? ▶
LLaVA-CoT ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does LLaVA-CoT cost? ▶
Pricing for LLaVA-CoT depends on the provider. See the providers table on this page for the latest API rates.
How does LLaVA-CoT perform on benchmarks? ▶
Benchmark scores for LLaVA-CoT are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
No videos yet. Know a good one? Add it below.
Know a great video about LLaVA-CoT?
Add YouTube Video
Add Tweet/Discussion
Report an Issue
Help us maintain accurate information in our database.
Suggest an Edit
Tell us what needs to be changed or corrected for