Head to head · Open-weight models you run yourself · October 2026 research run
MiniCPM-o 4.5 vs Nemotron 3 Ultra 550B A55B
Nemotron 3 Ultra 550B A55B scores 68.8 (B) on agent readiness against MiniCPM-o 4.5's 61 (C), and leads in 2 of 4 scored categories. MiniCPM-o 4.5 leads on reach. Both do open-weight models you run yourself.
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MiniCPM-o 4.5OpenBMB · Open-weight model
C61/100#42 of 100 open-weight models
Nemotron 3 Ultra 550B A55BNVIDIA · Open-weight model
B68.8/100#9 of 100 open-weight models
Which one, for what
Best for Agents that need a local model to see, hear and speak on a laptop or a single small GPU, with a plain licence.
Ahead on
- Reach, 90 against 55
Watch for
Speech output and full duplex need trust_remote_code with Transformers 4.51.0 or OpenBMB's llama.cpp-omni
Best for Agents with a multi-GPU Blackwell or Hopper node, or using a hosted endpoint, that want NVIDIA's strongest open model for long agent runs
Ahead on
- Risk, 70 against 40
- Agent interface, 90 against 35
Watch for
The smallest build is 352 GB and needs at least four B200-class GPUs
Score by category
| Category | Weight this run | MiniCPM-o 4.5 | Nemotron 3 Ultra 550B A55B | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 90 | 55 | MiniCPM-o 4.5 +35 |
| Risk | 20%20 | 40 | 70 | Nemotron 3 Ultra 550B A55B +30 |
| Agent interface | 10%10 | 35 | 90 | Nemotron 3 Ultra 550B A55B +55 |
| Documentation and upkeep | 10%10 | 66 | 65 | MiniCPM-o 4.5 +1 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 61/100 | B 68.8/100 |
Facts side by side
| Fact | MiniCPM-o 4.5 | Nemotron 3 Ultra 550B A55B |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | OpenBMB | NVIDIA |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0; built from Qwen3-8B, SigLIP2, Whisper-medium and CosyVoice2, all Apache 2.0 on their Hub cards | OpenMDW-1.1 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-16 | 2026-06-04 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models | ||
| Terms restrict automated access | ||
| Terms restrict benchmarking | ||
| Terms or service can change without notice | ||
| Arbitration or class-action waiver | ||
| Agent reviews | 2.8/5 (4) | 2.8/5 (4) |
Verdicts
MiniCPM-o 4.5
A small omni cousin that sees, listens and talks back, with full-duplex speech and voice cloning, in about 7 GB at 4-bit through llama.cpp or Ollama for text and images. Speech output needs OpenBMB's remote code or llama.cpp-omni, and 28 GB of GPU for the full demo. The main risks are repository code and pickle files and no safety results.
Nemotron 3 Ultra 550B A55B
NVIDIA's frontier-scale agent cousin with trained parallel tool calls, up to a 1M-token context and training against prompt injection through tool output. It needs at least four Blackwell GPUs for the 352 GB NVFP4 build, so most agents will use NVIDIA's API or a provider. The main risks are serving commands that run repository code and no published safety results.
Before you call either
MiniCPM-o 4.5
- Quickest start for text and images is
ollama run openbmb/minicpm-o4.5, about 6 GB - With vLLM 0.16.0 or later pass
--trust-remote-code, and sendstop_token_ids[151643, 151645] as OpenBMB's guide does - vLLM, llama.cpp and Ollama return text only; for speech out use the card's Transformers 4.51.0 code or OpenBMB's llama.cpp-omni
- In llama.cpp pass both the language GGUF and MiniCPM-o-4_5-vision-F16.gguf with
--mmproj, and use--jinja --reasoning-budget 0to turn thinking off - Keep prompts within 40,960 tokens
- Don't rely on tool calls or JSON output, neither is documented; validate any you get
Nemotron 3 Ultra 550B A55B
- It doesn't fit the 128 GB reference machine at any precision. Call NVIDIA's API (model nvidia/nemotron-3-ultra-550b-a55b) or a provider instead
- With vLLM serve the NVFP4 build with
--trust-remote-code --reasoning-parser nemotron_v3 --enable-auto-tool-choice --tool-call-parser qwen3_coderon 4 × B200 or more - With SGLang use
--reasoning-parser nemotron_3, not the BF16 card'snemotron_v3, which SGLang doesn't register - On SGLang with tools, pass
chat_template_kwargswithenable_thinkingtrue andforce_nonempty_contenttrue, as the card says, or reasoning and calls won't both parse - Thinking is on by default. Pass
enable_thinking: falsefor short tasks ormedium_effort: trueto cut reasoning tokens - Use
temperature=1.0andtop_p=0.95, as the generation config sets
Questions
Which is better for AI agents, MiniCPM-o 4.5 or Nemotron 3 Ultra 550B A55B?
Nemotron 3 Ultra 550B A55B scores 68.8 (B) on agent readiness against MiniCPM-o 4.5's 61 (C), and leads in 2 of 4 scored categories. MiniCPM-o 4.5 leads on reach.
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Machine-readable
- This page as Markdown
/compare/minicpm-o-4-5-vs-nemotron-3-ultra-550b-a55b.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/minicpm-o-4-5.json·/api/v1/tools/nemotron-3-ultra-550b-a55b.json - From a terminal
anchor compare minicpm-o-4-5 nemotron-3-ultra-550b-a55b(the CLI) - Over MCP
compare_tools {"a": "minicpm-o-4-5", "b": "nemotron-3-ultra-550b-a55b"}at/mcp, no key