MiniCPM-V 4.6
MiniCPM-V 4.6 is a highly optimized multimodal large language model (MLLM) designed for efficient image and video understanding, particularly on edge devices like smar…
Our verdict
Who it's for
Ultra-efficient multimodal large language model for image and video understanding on mobile devices.
Who should look elsewhere
torchcodec (used for video decoding) may have CUDA compatibility issues with certain environments, requiring workarounds.
Pros
- +Exceptional efficiency for edge deployment, especially on mobile devices.
- +Strong multimodal capabilities, outperforming larger models in various benchmarks.
- +Broad compatibility with mainstream mobile operating systems.
- +Developer-friendly with extensive framework and fine-tuning support.
- +Open-sourced edge adaptation code for easy reproduction of on-device experience.
Cons
- −torchcodec (used for video decoding) may have CUDA compatibility issues with certain environments, requiring workarounds.
- −Requires technical expertise for deployment and fine-tuning.
Key features
- ✓Single-image understanding
- ✓Multi-image understanding
- ✓Video understanding
- ✓Mixed 4x/16x visual token compression
- ✓Deployment on iOS, Android, and HarmonyOS
- ✓Support for vLLM, SGLang, llama.cpp, Ollama inference frameworks
- ✓Support for SWIFT and LLaMA-Factory fine-tuning ecosystems
- ✓Multiple quantized variants (GGUF, BNB, AWQ, GPTQ)
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Free | — | month | Explore, experiment, collaborate and build technology with Machine Learning; Packed with ML features, like model eval, dataset viewer; Git based and designed for collaboration |
| PRO Account | $9 | month | 10x private storage capacity; 2x public storage capacity; 20x included inference credits |
| Team | $20 | month | Instant setup for growing teams; SSO support (SAML & OIDC); Data location control with Storage Regions |
| Enterprise | $50 | month | All benefits from the Team plan; Highest storage, bandwidth, and API rate limits; Automated user management with SCIM provisioning |
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