MiniCPM-V 4.6
MiniCPM-V 4.6 is a released rag, agents, and long context model with open-source and 262k context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 262k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Teams that need a tracked hosted API route today
- Family
- MiniCPM
- Released
- 2026-05-11
- Context
- 262k
- Parameters
- 1.3B
- Architecture
- Decoder Only
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
No tracked provider token pricing is available yet.
About
OpenBMB's compact 1.3B vision-language model, open-sourced May 11, 2026, for on-device deployment on smartphones (iOS, Android, HarmonyOS) and edge devices. It pairs a SigLIP2-400M vision encoder with a Qwen3.5-0.8B language backbone using the LLaVA-UHD v4 approach. It supports single-image, multi-image, and video input (up to 128 frames), tool-call-formatted text output, and a 262,144-token context window. OpenBMB reports a 13 score on the Artificial Analysis Intelligence Index and support for vLLM, SGLang, llama.cpp, Ollama, Transformers, SWIFT, and LLaMA-Factory. Apache 2.0 license.
MiniCPM-V 4.6 is an open-source model in the MiniCPM family. The structured metadata tracks a 262k-token context window, multimodal input, and tool use. Headline tracked benchmarks include MathVista 75.6 and Massive Multi-discipline Multimodal Understanding 55.3.
Top use-case fit: coding, agents, and build tasks
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Vision
Benchmark scores(2)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| MathVista | 75.6 | Thinking variant (accuracy%) | https://huggingface.co/openbmb/MiniCPM-V-4.6 |
| Massive Multi-discipline Multimodal Understanding | 55.3 | Thinking variant (accuracy%) | https://huggingface.co/openbmb/MiniCPM-V-4.6 |
Migration checks
No linked migration route is available for this model yet.
Compare MiniCPM-V 4.6 with other models
Comparison and alternatives
Browse all comparisons →Frequently asked questions
What is the context window of MiniCPM-V 4.6?
MiniCPM-V 4.6 has a context window of 262k tokens.
When was MiniCPM-V 4.6 released?
MiniCPM-V 4.6 was released on 2026-05-11.
What benchmarks has MiniCPM-V 4.6 been tested on?
MiniCPM-V 4.6 has been evaluated on 2 benchmarks, including MathVista, Massive Multi-discipline Multimodal Understanding.
No tracked provider token pricing is available yet.