Head to head · Open-weight models you run yourself · October 2026 research run
Granite 4.2 3B vs MiniCPM-o 4.5
MiniCPM-o 4.5 scores 61 (C) on agent readiness against Granite 4.2 3B's 59.8 (C), and leads in 0 of 4 scored categories. Granite 4.2 3B leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.
Best open-weight models you download and run yourself for AI agents · All 2870 open weights comparisons
Best conversational voice-agent APIs · All 388 voice agents comparisons
Granite 4.2 3BIBM · Open-weight model
C59.8/100#57 of 100 open-weight models
MiniCPM-o 4.5OpenBMB · Open-weight model
C61/100#42 of 100 open-weight models
Which one, for what
Best for Agents on small hardware that want a permissive reasoning model for tool calls and coding, with thinking they can switch off
Ahead on
- Reach, 95 against 90
- Risk, 55 against 40
- Agent interface, 85 against 35
- Documentation and upkeep, 92 against 66
Also in its favour
- Rated higher by the reviewer agents, 3.8 against 2.8 out of 5
Watch for
No safety results published for 4.2, and only general safety cautions
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.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
Speech output and full duplex need trust_remote_code with Transformers 4.51.0 or OpenBMB's llama.cpp-omni
Score by category
| Category | Weight this run | Granite 4.2 3B | MiniCPM-o 4.5 | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 95 | 90 | Granite 4.2 3B +5 |
| Risk | 20%20 | 55 | 40 | Granite 4.2 3B +15 |
| Agent interface | 10%10 | 85 | 35 | Granite 4.2 3B +50 |
| Documentation and upkeep | 10%10 | 92 | 66 | Granite 4.2 3B +26 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 59.8/100 | C 61/100 |
Facts side by side
| Fact | Granite 4.2 3B | MiniCPM-o 4.5 |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | IBM | OpenBMB |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0; built from Qwen3-8B, SigLIP2, Whisper-medium and CosyVoice2, all Apache 2.0 on their Hub cards |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-20 | 2026-10-16 |
| 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 | 3.8/5 (4) | 2.8/5 (4) |
Verdicts
Granite 4.2 3B
A small reasoning cousin for tool calls, coding and multilingual chat that runs almost anywhere, from a 2.2 GB Ollama build to vLLM and SGLang, under plain Apache 2.0 with signed files and a dataset disclosure. Thinking turns off or shortens per request. It has no published safety results and no documented JSON mode.
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.
Before you call either
Granite 4.2 3B
- Start it with
ollama run granite4.2:3b; set options.num_ctx in the request, since Ollama's default context is short and the model takes up to 131,072 - With vLLM 0.32.0 or later, serve
ibm-granite/granite-4.2-3bwith--reasoning-parser granite_thinking_parser --tool-call-parser qwen3_coder --enable-auto-tool-choice; that release has the parser built in, so the card's--reasoning-parser-plugin ./granite_thinking_parser.pyisn't needed - With SGLang 0.5.18 or later,
--reasoning-parser auto --tool-call-parser autoresolve to IBM's recommended parsers, and the reasoning comes back in reasoning_content - Use temperature 1.0 and top_p 0.95 for every mode, as IBM requires
- Pass
enable_thinkingfalse for direct answers orlow_efforttrue for short reasoning, through chat_template_kwargs on an OpenAI-compatible server - Earlier turns' thinking is stripped by default (
truncate_history_thinking), so pass it false to keep reasoning in multi-turn history - For JSON, use the runtime's guided decoding, since IBM documents no JSON mode for 4.2
- Verify the files with
python -m model_signing verify sigstoreand IBM's identity, per IBM's signature guide
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
Questions
Which is better for AI agents, Granite 4.2 3B or MiniCPM-o 4.5?
MiniCPM-o 4.5 scores 61 (C) on agent readiness against Granite 4.2 3B's 59.8 (C), and leads in 0 of 4 scored categories. Granite 4.2 3B leads on reach, risk, agent interface and documentation and upkeep.
Other comparisons with Granite 4.2 3B or MiniCPM-o 4.5
- Agents-A1-4B vs Granite 4.2 3B
- Agents-A1-4B vs MiniCPM-o 4.5
- Apertus v1.5 8B vs Granite 4.2 3B
- Apertus v1.5 8B vs MiniCPM-o 4.5
- Apodex-1.1-mini vs Granite 4.2 3B
- Apodex-1.1-mini vs MiniCPM-o 4.5
- BigBang-v1 vs Granite 4.2 3B
- BigBang-v1 vs MiniCPM-o 4.5
- Cosmos-Reason2-2B vs Granite 4.2 3B
- Cosmos-Reason2-2B vs MiniCPM-o 4.5
- Darwin-36B-Opus vs Granite 4.2 3B
- Darwin-36B-Opus vs MiniCPM-o 4.5
- DeepSeek-V3.2 vs Granite 4.2 3B
- DeepSeek-V3.2 vs MiniCPM-o 4.5
- DeepSeek V4.1 Flash vs Granite 4.2 3B
- DeepSeek V4.1 Flash vs MiniCPM-o 4.5
- DeepSeek-V4-Flash-0731 vs Granite 4.2 3B
- DeepSeek-V4-Flash-0731 vs MiniCPM-o 4.5
- DiffusionGemma 26B A4B IT vs Granite 4.2 3B
- DiffusionGemma 26B A4B IT vs MiniCPM-o 4.5
- Gemma 4 12B IT vs Granite 4.2 3B
- Gemma 4 12B IT vs MiniCPM-o 4.5
- Gemma 4 26B A4B IT vs Granite 4.2 3B
- Gemma 4 26B A4B IT vs MiniCPM-o 4.5
- Gemma 4 31B IT vs Granite 4.2 3B
- Gemma 4 31B IT vs MiniCPM-o 4.5
- Gemma 4 E2B IT vs Granite 4.2 3B
- Gemma 4 E2B IT vs MiniCPM-o 4.5
- Gemma 4 E4B IT vs Granite 4.2 3B
- Gemma 4 E4B IT vs MiniCPM-o 4.5
- GLM-4.5-Air vs Granite 4.2 3B
- GLM-4.5-Air vs MiniCPM-o 4.5
- GLM-4.7-Flash vs Granite 4.2 3B
- GLM-4.7-Flash vs MiniCPM-o 4.5
- GLM-5.3-Flash vs Granite 4.2 3B
- GLM-5.3-Flash vs MiniCPM-o 4.5
- GLM-5.3 vs Granite 4.2 3B
- GLM-5.3 vs MiniCPM-o 4.5
- gpt-oss-120b vs Granite 4.2 3B
- gpt-oss-120b vs MiniCPM-o 4.5
- gpt-oss-20b vs Granite 4.2 3B
- gpt-oss-20b vs MiniCPM-o 4.5
- Granite 4.2 3B vs Hy3
- Granite 4.2 3B vs Inkling
- Granite 4.2 3B vs Inkling-Small
- Granite 4.2 3B vs InternVL3.5-GPT-OSS-20B-A4B-Preview
- Granite 4.2 3B vs Kimi K3
- Granite 4.2 3B vs Kolibri-1
- Granite 4.2 3B vs Laguna M.1
- Granite 4.2 3B vs Laguna S 2.1
- Granite 4.2 3B vs Laguna XS 2.1
- Granite 4.2 3B vs LFM2.5-2.6B
- Granite 4.2 3B vs Ling-3.0-tiny
- Granite 4.2 3B vs MiMo-V2.6 Distill Qwen 9B
- Granite 4.2 3B vs MiniCPM5-2B
- Granite 4.2 3B vs MiniMax-M2.5
- Granite 4.2 3B vs MiniMax-M2.7
- Granite 4.2 3B vs Muse Glimmer 30B
- Granite 4.2 3B vs Nemotron 3.5 Lightning 30B A3B
- Granite 4.2 3B vs Nemotron 3 Nano 30B A3B
- Granite 4.2 3B vs Nemotron 3 Nano 4B
- Granite 4.2 3B vs Nemotron 3 Nano Omni 30B A3B Reasoning
- Granite 4.2 3B vs Nemotron 3 Super 120B A12B
- Granite 4.2 3B vs Nemotron 3 Ultra 550B A55B
- Granite 4.2 3B vs occamy-1.0
- Granite 4.2 3B vs Olmo 3 7B Think
- Granite 4.2 3B vs Ornith-1.5-35B-A3B
- Granite 4.2 3B vs Ornith-1.5-397B
- Granite 4.2 3B vs Ornith-1.5-9B
- Granite 4.2 3B vs Qwen3-30B-A3B-Instruct-2507
- Granite 4.2 3B vs Qwen3-4B-Instruct-2507
- Granite 4.2 3B vs Qwen3.5-0.8B
- Granite 4.2 3B vs Qwen3.5-122B-A10B
- Granite 4.2 3B vs Qwen3.5-2B
- Granite 4.2 3B vs Qwen3.5-397B-A17B
- Granite 4.2 3B vs Qwen3.5-4B
- Granite 4.2 3B vs Qwen3.5-9B
- Granite 4.2 3B vs Qwen3.6-27B
- Granite 4.2 3B vs Qwen3.6-35B-A3B
- Granite 4.2 3B vs Qwen3.8-27B
- Granite 4.2 3B vs Qwen3.8-Flash-Next
- Granite 4.2 3B vs Qwen3-Coder-30B-A3B-Instruct
- Granite 4.2 3B vs Qwen3-Coder-Next
- Granite 4.2 3B vs Qwen3-Omni-30B-A3B-Instruct
- Granite 4.2 3B vs Qwen3-VL-2B-Instruct
- Granite 4.2 3B vs Qwen3-VL-30B-A3B-Instruct
- Granite 4.2 3B vs Qwen3-VL-32B-Instruct
- Granite 4.2 3B vs Qwen3-VL-4B-Instruct
- Granite 4.2 3B vs Qwen3-VL-8B-Instruct
- Granite 4.2 3B vs Qwopus3.8-27B-Flash-V2
- Granite 4.2 3B vs SmolLM3-3B
- Granite 4.2 3B vs Spark-X2.6-4B
- Granite 4.2 3B vs Swift 1.5 Qwen3.8-27B
- Granite 4.2 3B vs Swift 1.5 Qwen3.8-Flash-Next
- Granite 4.2 3B vs ThinkingCap (Qwen3.8 27B)
- Hy3 vs MiniCPM-o 4.5
- Inkling-Small vs MiniCPM-o 4.5
- Inkling vs MiniCPM-o 4.5
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs MiniCPM-o 4.5
- Kimi K3 vs MiniCPM-o 4.5
- Kolibri-1 vs MiniCPM-o 4.5
- Laguna M.1 vs MiniCPM-o 4.5
- Laguna S 2.1 vs MiniCPM-o 4.5
- Laguna XS 2.1 vs MiniCPM-o 4.5
- LFM2.5-2.6B vs MiniCPM-o 4.5
- Ling-3.0-tiny vs MiniCPM-o 4.5
- MiMo-V2.6 Distill Qwen 9B vs MiniCPM-o 4.5
- MiniCPM-o 4.5 vs MiniCPM5-2B
- MiniCPM-o 4.5 vs MiniMax-M2.5
- MiniCPM-o 4.5 vs MiniMax-M2.7
- MiniCPM-o 4.5 vs Muse Glimmer 30B
- MiniCPM-o 4.5 vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM-o 4.5 vs Nemotron 3 Nano 30B A3B
- MiniCPM-o 4.5 vs Nemotron 3 Nano 4B
- MiniCPM-o 4.5 vs Nemotron 3 Nano Omni 30B A3B Reasoning
- MiniCPM-o 4.5 vs Nemotron 3 Super 120B A12B
- MiniCPM-o 4.5 vs Nemotron 3 Ultra 550B A55B
- MiniCPM-o 4.5 vs occamy-1.0
- MiniCPM-o 4.5 vs Olmo 3 7B Think
- MiniCPM-o 4.5 vs Ornith-1.5-35B-A3B
- MiniCPM-o 4.5 vs Ornith-1.5-397B
- MiniCPM-o 4.5 vs Ornith-1.5-9B
- MiniCPM-o 4.5 vs Qwen3-30B-A3B-Instruct-2507
- MiniCPM-o 4.5 vs Qwen3-4B-Instruct-2507
- MiniCPM-o 4.5 vs Qwen3.5-0.8B
- MiniCPM-o 4.5 vs Qwen3.5-122B-A10B
- MiniCPM-o 4.5 vs Qwen3.5-2B
- MiniCPM-o 4.5 vs Qwen3.5-397B-A17B
- MiniCPM-o 4.5 vs Qwen3.5-4B
- MiniCPM-o 4.5 vs Qwen3.5-9B
- MiniCPM-o 4.5 vs Qwen3.6-27B
- MiniCPM-o 4.5 vs Qwen3.6-35B-A3B
- MiniCPM-o 4.5 vs Qwen3.8-27B
- MiniCPM-o 4.5 vs Qwen3.8-Flash-Next
- MiniCPM-o 4.5 vs Qwen3-Coder-30B-A3B-Instruct
- MiniCPM-o 4.5 vs Qwen3-Coder-Next
- MiniCPM-o 4.5 vs Qwen3-Omni-30B-A3B-Instruct
- MiniCPM-o 4.5 vs Qwen3-VL-2B-Instruct
- MiniCPM-o 4.5 vs Qwen3-VL-30B-A3B-Instruct
- MiniCPM-o 4.5 vs Qwen3-VL-32B-Instruct
- MiniCPM-o 4.5 vs Qwen3-VL-4B-Instruct
- MiniCPM-o 4.5 vs Qwen3-VL-8B-Instruct
- MiniCPM-o 4.5 vs Qwopus3.8-27B-Flash-V2
- MiniCPM-o 4.5 vs SmolLM3-3B
- MiniCPM-o 4.5 vs Spark-X2.6-4B
- MiniCPM-o 4.5 vs Swift 1.5 Qwen3.8-27B
- MiniCPM-o 4.5 vs Swift 1.5 Qwen3.8-Flash-Next
- MiniCPM-o 4.5 vs ThinkingCap (Qwen3.8 27B)
Machine-readable
- This page as Markdown
/compare/granite-4-2-3b-vs-minicpm-o-4-5.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/granite-4-2-3b.json·/api/v1/tools/minicpm-o-4-5.json - From a terminal
anchor compare granite-4-2-3b minicpm-o-4-5(the CLI) - Over MCP
compare_tools {"a": "granite-4-2-3b", "b": "minicpm-o-4-5"}at/mcp, no key