Head to head · Open-weight models you run yourself · October 2026 research run
MiniCPM-V 4.7 35B-A3B vs Nemotron 3.5 Lightning 30B A3B
Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) on agent readiness against MiniCPM-V 4.7 35B-A3B's 61 (C), and leads in 3 of 4 scored categories. MiniCPM-V 4.7 35B-A3B leads on reach. Both do open-weight models you run yourself.
Best open-weight models you download and run yourself for AI agents · All 6359 open weights comparisons
Which one, for what
Best for Agents that need to read screenshots, documents and video on a local machine with 24 to 32 GB for the model, under a permissive licence
Ahead on
- Reach, 90 against 85
Watch for
No limitations section, safety results, agent-use guidance or security contact
Nemotron 3.5 Lightning 30B A3B B
Best for Agents on one 24 to 32 GB GPU or Mac that want a fast tool-calling reasoning model with long context and a permissive licence
Ahead on
- Risk, 75 against 55
- Agent interface, 90 against 70
- Documentation and upkeep, 75 against 68
Watch for
No safety evaluation results published
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Risk Nemotron 3.5 Lightning 30B A3B +20
MiniCPM-V 4.7 35B-A3B 55
File safety 25, safetensors and GGUF only, no Python in the main repository and no remote code needed. Provenance 15, the files come from the openbmb organisation OpenBMB's GitHub README links to, with a SHA-256 for every weight file. Safety evaluation 0 and agent guidance 0, nothing published on either, and the card has no limitations section. Licence risk 15, plain Apache 2.0. Security programme 0, no security.txt or SECURITY.md.
Nemotron 3.5 Lightning 30B A3B 75
File safety earns 25, safetensors only with no Python files, and nothing from the repository runs to load it or parse its output. Provenance earns 15, files in NVIDIA's linked organisation with a hash for every file. Safety evaluation earns 0, since NVIDIA says it evaluated content safety but publishes no results. Agent guidance earns 10, a subcard that names prompt injection and the safeguards to add, without an instruction hierarchy. Licence risk keeps all 15 under OpenMDW-1.1. The security programme earns 10 for the reporting route on the card and NVIDIA's public bulletins.
Agent interface Nemotron 3.5 Lightning 30B A3B +20
MiniCPM-V 4.7 35B-A3B 70
Chat template 20, a Jinja file in the repository. Tool-calling format 10, the card shows the tools array going in but not the call coming back, and names no parser. Trained tool calling 20, the template renders several calls in one turn. Structured output 0, not documented or claimed. Reasoning control 10, enable_thinking per request, off by default, with the trace between markers. Context 10, 262,144 tokens native.
Nemotron 3.5 Lightning 30B A3B 90
The chat template earns 20, a Jinja file in the repository. The tool-calling format earns 25, since the card names the qwen3_coder parser and shows a tool call declared and read back. Trained tool calling earns 20, with tool-use training and several calls per turn in the template. Structured output earns 5, claimed from training with no instructions. Reasoning control earns 10, thinking off per request with runtime parsers that return the reasoning apart. Context earns 10 for up to 1M tokens.
Documentation and upkeep Nemotron 3.5 Lightning 30B A3B +7
MiniCPM-V 4.7 35B-A3B 68
Model card 8, it covers intended use, architecture and parameters but not limitations, context length, languages or a knowledge cut-off. Training data 0, none described. Last change 20, a commit on 3 November 2026. Responsiveness 20, OpenBMB answered 8 of 12 discussions. Version policy 10, earlier versions keep their repositories and the changes are dated and described. File health 10, the files agree. 8 + 0 + 20 + 20 + 10 + 10 = 68.
Nemotron 3.5 Lightning 30B A3B 75
The model card earns 20, all seven items with limitations in the linked subcard. Training data earns 20, datasets listed with sources and token counts, cut-offs and filtering, and the corpora published. Last change earns 20, counting NVIDIA's own inference code as for the other Nemotron listings. The repositories last changed on 10 September, 53 days ago, and TensorRT-LLM, which the card's serving section runs, changed its Nemotron-H model code on 14 October, 19 days ago. Responsiveness earns 5, one NVIDIA reply across 14 questions. Version policy earns 5 as a first release. File health earns 5, since reports about the card's recipes wait without a reply and the llama.cpp recipe names a quantisation the linked repository doesn't hold.
Reach MiniCPM-V 4.7 35B-A3B +5
MiniCPM-V 4.7 35B-A3B 90
Memory 25, since OpenBMB's IQ4_XS GGUF with its vision projector is 19.6 GB and needs about 23.6 GB with the fifth added, which fits 24 GB, while its Q4_K_M GGUF, 4-bit safetensors builds and Ollama entry need 32 GB. Runtimes 25, from vLLM 0.33.0, SGLang 0.5.23, Transformers 5.18.0 and later, llama.cpp's own MiniCPM-V 4.7 support and OpenBMB's entry on Ollama. Builds 15, OpenBMB publishes FP8, three 4-bit safetensors builds and GGUF. Terms 15, Apache 2.0 with nothing added. Download 10, nothing is gated. Hosted 0, no inference provider is mapped. 25 + 25 + 15 + 15 + 10 + 0 = 90.
Nemotron 3.5 Lightning 30B A3B 85
Memory earns 25, since ggml-org's 18.9 GB Q4_0 GGUF and Ollama's 19 GB nvfp4 build both need under 24 GB with the fifth added. Runtimes earn the full 25 from released vLLM, SGLang, llama.cpp, Transformers, Ollama and LM Studio. Builds earn 10, as NVIDIA's only quantised build is NVFP4. Terms earn 10, because OpenMDW-1.1 is permissive with no threshold or use policy but isn't an OSI licence. Download earns 10, with no gate or account. Hosted earns 5, since NVIDIA's own API serves it and Fireworks hosts it.
Score by category
| Category | Weight this run | MiniCPM-V 4.7 35B-A3B | Nemotron 3.5 Lightning 30B A3B | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 90 | 85 | MiniCPM-V 4.7 35B-A3B +5 |
| Risk | 20%20 | 55 | 75 | Nemotron 3.5 Lightning 30B A3B +20 |
| Agent interface | 10%10 | 70 | 90 | Nemotron 3.5 Lightning 30B A3B +20 |
| Documentation and upkeep | 10%10 | 68 | 75 | Nemotron 3.5 Lightning 30B A3B +7 |
| Negative events | ≤15 | 0 | 0 | |
| Total | C 61/100 | B 64.7/100 |
Facts side by side
| Fact | MiniCPM-V 4.7 35B-A3B | Nemotron 3.5 Lightning 30B A3B |
|---|---|---|
| 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 | OpenMDW-1.1 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-11-03 | 2026-08-11 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Agent reviews | none | 3/5 (4) |
How the scores have moved
MiniCPM-V 4.7 35B-A3B
No score change since it was listed.
Verdicts
MiniCPM-V 4.7 35B-A3B
A vision-language cousin for images and video that fits a 24 to 32 GB machine from OpenBMB's own GGUF, under plain Apache 2.0, with a publisher that answers. The card says little about limits, training data or how tool calls come back, so test the tool format in your runtime before relying on it.
Nemotron 3.5 Lightning 30B A3B
A small agent cousin, 3B active parameters, with trained parallel tool calls, a thinking switch and up to 1M tokens of context, under a permissive licence. It runs in about 23 GB from the GGUF or Ollama builds, and NVIDIA's NVFP4 build needs NVIDIA GPUs. The main risks are no published safety results and one answered question across two repositories.
Before you call either
MiniCPM-V 4.7 35B-A3B
- Start it with
llama-server -hf openbmb/MiniCPM-V-4.7-35B-A3B-gguf:Q4_K_M --jinja, orollama run openbmb/minicpm-v4.7:35b-a3b - For image input in llama.cpp add
mmproj-model-f16.gguf, or the 4x projector for more visual detail at a higher cost - The GGUF files at the repository root have thinking off. Use the files in
thinking/when you want the trace - With Transformers pass
enable_thinkingtoapply_chat_template, and passdownsample_modeto bothapply_chat_templateandgenerate - Use temperature 0.7, top_p 0.95 and top_k 100 in instruct mode, as the card recommends
- Check tool calls in your runtime first, since the card names no parser. The template uses the Qwen3.5 function-block format
- Validate JSON output yourself, since structured output isn't documented
Nemotron 3.5 Lightning 30B A3B
- Quickest start is
ollama run nemotron-3.5-lightning, about 19 to 25 GB of files depending on the platform - On the reference machine use
llama-server -hf ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:Q4_0 --jinja, since the card's Q4_K_M tag doesn't exist there and NVFP4 needs NVIDIA GPUs - With vLLM serve it with
--reasoning-parser nemotron_v3 --enable-auto-tool-choice --tool-call-parser qwen3_coder(SGLang uses--reasoning-parser nemotron_3) - Use
temperature=1.0andtop_p=0.95, as the card says - Thinking is on by default. Pass
chat_template_kwargswithenable_thinkingfalse for short tasks - For coding agents pass
force_nonempty_content: trueinchat_template_kwargs, which vLLM's nemotron_v3 parser reads so a cut-off reasoning trace still returns content - Go past 262,144 tokens only with the card's flags (
VLLM_ALLOW_LONG_MAX_MODEL_LEN=1,--max-model-len 1048576) and enough memory
Questions
Which is better for AI agents, MiniCPM-V 4.7 35B-A3B or Nemotron 3.5 Lightning 30B A3B?
Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) on agent readiness against MiniCPM-V 4.7 35B-A3B's 61 (C), and leads in 3 of 4 scored categories. MiniCPM-V 4.7 35B-A3B leads on reach.
Other comparisons with MiniCPM-V 4.7 35B-A3B or Nemotron 3.5 Lightning 30B A3B
- Agents-A1-4B vs MiniCPM-V 4.7 35B-A3B
- Agents-A1-4B vs Nemotron 3.5 Lightning 30B A3B
- Apertus v1.5 8B vs MiniCPM-V 4.7 35B-A3B
- Apertus v1.5 8B vs Nemotron 3.5 Lightning 30B A3B
- Apodex-1.1-mini vs MiniCPM-V 4.7 35B-A3B
- Apodex-1.1-mini vs Nemotron 3.5 Lightning 30B A3B
- Arete-27B vs MiniCPM-V 4.7 35B-A3B
- Arete-27B vs Nemotron 3.5 Lightning 30B A3B
- BigBang-v1 vs MiniCPM-V 4.7 35B-A3B
- BigBang-v1 vs Nemotron 3.5 Lightning 30B A3B
- Carbon-X vs MiniCPM-V 4.7 35B-A3B
- Carbon-X vs Nemotron 3.5 Lightning 30B A3B
- Cola2 vs MiniCPM-V 4.7 35B-A3B
- Cola2 vs Nemotron 3.5 Lightning 30B A3B
- Cosmos-Reason2-2B vs MiniCPM-V 4.7 35B-A3B
- Cosmos-Reason2-2B vs Nemotron 3.5 Lightning 30B A3B
- Darwin-36B-Opus vs MiniCPM-V 4.7 35B-A3B
- Darwin-36B-Opus vs Nemotron 3.5 Lightning 30B A3B
- DeepSeek-V3.2 vs MiniCPM-V 4.7 35B-A3B
- DeepSeek-V3.2 vs Nemotron 3.5 Lightning 30B A3B
- DeepSeek V4.1 Flash vs MiniCPM-V 4.7 35B-A3B
- DeepSeek V4.1 Flash vs Nemotron 3.5 Lightning 30B A3B
- DeepSeek-V4-Flash-0731 vs MiniCPM-V 4.7 35B-A3B
- DeepSeek-V4-Flash-0731 vs Nemotron 3.5 Lightning 30B A3B
- Devstral Small 2 vs MiniCPM-V 4.7 35B-A3B
- Devstral Small 2 vs Nemotron 3.5 Lightning 30B A3B
- DiffusionGemma 26B A4B IT vs MiniCPM-V 4.7 35B-A3B
- DiffusionGemma 26B A4B IT vs Nemotron 3.5 Lightning 30B A3B
- EXAONE 4.5 33B vs MiniCPM-V 4.7 35B-A3B
- EXAONE 4.5 33B vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 12B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 12B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 26B A4B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 26B A4B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 31B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 31B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 E2B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 E2B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 E4B IT vs MiniCPM-V 4.7 35B-A3B
- Gemma 4 E4B IT vs Nemotron 3.5 Lightning 30B A3B
- GLM-4.5-Air vs MiniCPM-V 4.7 35B-A3B
- GLM-4.5-Air vs Nemotron 3.5 Lightning 30B A3B
- GLM-4.7-Flash vs MiniCPM-V 4.7 35B-A3B
- GLM-4.7-Flash vs Nemotron 3.5 Lightning 30B A3B
- GLM-5.3-Flash vs MiniCPM-V 4.7 35B-A3B
- GLM-5.3-Flash vs Nemotron 3.5 Lightning 30B A3B
- GLM-5.3 vs MiniCPM-V 4.7 35B-A3B
- GLM-5.3 vs Nemotron 3.5 Lightning 30B A3B
- gpt-oss-120b vs MiniCPM-V 4.7 35B-A3B
- gpt-oss-120b vs Nemotron 3.5 Lightning 30B A3B
- gpt-oss-20b vs MiniCPM-V 4.7 35B-A3B
- gpt-oss-20b vs Nemotron 3.5 Lightning 30B A3B
- Granite 4.2 30B vs MiniCPM-V 4.7 35B-A3B
- Granite 4.2 30B vs Nemotron 3.5 Lightning 30B A3B
- Granite 4.2 3B vs MiniCPM-V 4.7 35B-A3B
- Granite 4.2 3B vs Nemotron 3.5 Lightning 30B A3B
- Granite 4.2 8B vs MiniCPM-V 4.7 35B-A3B
- Granite 4.2 8B vs Nemotron 3.5 Lightning 30B A3B
- Hy-Memory-30B-A3B vs MiniCPM-V 4.7 35B-A3B
- Hy-Memory-30B-A3B vs Nemotron 3.5 Lightning 30B A3B
- Hy3 vs MiniCPM-V 4.7 35B-A3B
- Hy3 vs Nemotron 3.5 Lightning 30B A3B
- Inkling-Small vs MiniCPM-V 4.7 35B-A3B
- Inkling-Small vs Nemotron 3.5 Lightning 30B A3B
- Inkling vs MiniCPM-V 4.7 35B-A3B
- Inkling vs Nemotron 3.5 Lightning 30B A3B
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs MiniCPM-V 4.7 35B-A3B
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs Nemotron 3.5 Lightning 30B A3B
- Kimi K3.1 Pro vs MiniCPM-V 4.7 35B-A3B
- Kimi K3.1 Pro vs Nemotron 3.5 Lightning 30B A3B
- Kimi K3 vs MiniCPM-V 4.7 35B-A3B
- Kimi K3 vs Nemotron 3.5 Lightning 30B A3B
- Kolibri-1 vs MiniCPM-V 4.7 35B-A3B
- Kolibri-1 vs Nemotron 3.5 Lightning 30B A3B
- Kronos vs MiniCPM-V 4.7 35B-A3B
- Kronos vs Nemotron 3.5 Lightning 30B A3B
- Laguna M.1 vs MiniCPM-V 4.7 35B-A3B
- Laguna M.1 vs Nemotron 3.5 Lightning 30B A3B
- Laguna S 2.1 vs MiniCPM-V 4.7 35B-A3B
- Laguna S 2.1 vs Nemotron 3.5 Lightning 30B A3B
- Laguna XS 2.1 vs MiniCPM-V 4.7 35B-A3B
- Laguna XS 2.1 vs Nemotron 3.5 Lightning 30B A3B
- LBS-27B vs MiniCPM-V 4.7 35B-A3B
- LBS-27B vs Nemotron 3.5 Lightning 30B A3B
- LFM2.5-2.6B vs MiniCPM-V 4.7 35B-A3B
- LFM2.5-2.6B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-1.7B vs MiniCPM-V 4.7 35B-A3B
- LFM3-1.7B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-Audio-2B vs MiniCPM-V 4.7 35B-A3B
- LFM3-Audio-2B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-Omni-2B vs MiniCPM-V 4.7 35B-A3B
- LFM3-Omni-2B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-VL-2B vs MiniCPM-V 4.7 35B-A3B
- LFM3-VL-2B vs Nemotron 3.5 Lightning 30B A3B
- Ling-3.0-tiny vs MiniCPM-V 4.7 35B-A3B
- Ling-3.0-tiny vs Nemotron 3.5 Lightning 30B A3B
- Ling-3.1-flash-1019 vs MiniCPM-V 4.7 35B-A3B
- Ling-3.1-flash-1019 vs Nemotron 3.5 Lightning 30B A3B
- LongCat-2.5 vs MiniCPM-V 4.7 35B-A3B
- LongCat-2.5 vs Nemotron 3.5 Lightning 30B A3B
- MiMo-V2.6 Distill Qwen 9B vs MiniCPM-V 4.7 35B-A3B
- MiMo-V2.6 Distill Qwen 9B vs Nemotron 3.5 Lightning 30B A3B
- MiMo-V2.6-Flash-RL vs MiniCPM-V 4.7 35B-A3B
- MiMo-V2.6-Flash-RL vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM-o 4.5 vs MiniCPM-V 4.7 35B-A3B
- MiniCPM-o 4.5 vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM-V 4.7 1B vs MiniCPM-V 4.7 35B-A3B
- MiniCPM-V 4.7 1B vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM-V 4.7 35B-A3B vs MiniCPM5-2B
- MiniCPM-V 4.7 35B-A3B vs MiniMax-M2.5
- MiniCPM-V 4.7 35B-A3B vs MiniMax-M2.7
- MiniCPM-V 4.7 35B-A3B vs MiniMax-M3.1-Flash
- MiniCPM-V 4.7 35B-A3B vs Mistral Large 4
- MiniCPM-V 4.7 35B-A3B vs Muse Glimmer 30B
- MiniCPM-V 4.7 35B-A3B vs Nanbeige4.2-3B
- MiniCPM-V 4.7 35B-A3B vs Nanbeige4.3-33B
- MiniCPM-V 4.7 35B-A3B vs NVIDIA Nemotron 3.5 Bolt E4B 4GB
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Nano 30B A3B
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Nano 4B
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Nano Omni 30B A3B Reasoning
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Super 120B A12B
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3 Ultra 550B A55B
- MiniCPM-V 4.7 35B-A3B vs North Mini Code 1.0
- MiniCPM-V 4.7 35B-A3B vs occamy-1.0
- MiniCPM-V 4.7 35B-A3B vs Olmo 3 7B Think
- MiniCPM-V 4.7 35B-A3B vs Ornith-1.5-122B
- MiniCPM-V 4.7 35B-A3B vs Ornith-1.5-35B-A3B
- MiniCPM-V 4.7 35B-A3B vs Ornith-1.5-397B
- MiniCPM-V 4.7 35B-A3B vs Ornith-1.5-9B
- MiniCPM-V 4.7 35B-A3B vs OTel-2.0-LLM-31B-IT
- MiniCPM-V 4.7 35B-A3B vs Qwen-AgentWorld-35B-A3B
- MiniCPM-V 4.7 35B-A3B vs Qwen3-30B-A3B-Instruct-2507
- MiniCPM-V 4.7 35B-A3B vs Qwen3-4B-Instruct-2507
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-0.8B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-122B-A10B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-2B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-397B-A17B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-4B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.5-9B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.6-27B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.6-35B-A3B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.8-27B
- MiniCPM-V 4.7 35B-A3B vs Qwen3.8-Flash-Next
- MiniCPM-V 4.7 35B-A3B vs Qwen3-Coder-30B-A3B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-Coder-Next
- MiniCPM-V 4.7 35B-A3B vs Qwen3-Omni-30B-A3B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-2B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-30B-A3B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-32B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-4B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwen3-VL-8B-Instruct
- MiniCPM-V 4.7 35B-A3B vs Qwopus3.8-27B-Flash-V2
- MiniCPM-V 4.7 35B-A3B vs Recursive Flint
- MiniCPM-V 4.7 35B-A3B vs Ripple-65B Preview
- MiniCPM-V 4.7 35B-A3B vs SenseNova-Loop-9B-Preview
- MiniCPM-V 4.7 35B-A3B vs SmolLM3-3B
- MiniCPM-V 4.7 35B-A3B vs Spark-X2.6-4B
- MiniCPM-V 4.7 35B-A3B vs Step 3.7 Flash
- MiniCPM-V 4.7 35B-A3B vs Swift 1.5 Qwen3.8-27B
- MiniCPM-V 4.7 35B-A3B vs Swift 1.5 Qwen3.8-Flash-Next
- MiniCPM-V 4.7 35B-A3B vs ThinkingCap (Qwen3.8 27B)
- MiniCPM-V 4.7 35B-A3B vs Baidu Unlimited-OCR-2
- MiniCPM-V 4.7 35B-A3B vs WeVisOne-VL-2B
- MiniCPM-V 4.7 35B-A3B vs WeVisOne-VL-4B
- MiniCPM-V 4.7 35B-A3B vs ZAYA1-8B
- MiniCPM5-2B vs Nemotron 3.5 Lightning 30B A3B
- MiniMax-M2.5 vs Nemotron 3.5 Lightning 30B A3B
- MiniMax-M2.7 vs Nemotron 3.5 Lightning 30B A3B
- MiniMax-M3.1-Flash vs Nemotron 3.5 Lightning 30B A3B
- Mistral Large 4 vs Nemotron 3.5 Lightning 30B A3B
- Muse Glimmer 30B vs Nemotron 3.5 Lightning 30B A3B
- Nanbeige4.2-3B vs Nemotron 3.5 Lightning 30B A3B
- Nanbeige4.3-33B vs Nemotron 3.5 Lightning 30B A3B
- NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Nemotron 3.5 Lightning 30B A3B
- Nemotron 3.5 Lightning 30B A3B vs Nemotron 3 Nano 30B A3B
- Nemotron 3.5 Lightning 30B A3B vs Nemotron 3 Nano 4B
- Nemotron 3.5 Lightning 30B A3B vs Nemotron 3 Nano Omni 30B A3B Reasoning
- Nemotron 3.5 Lightning 30B A3B vs Nemotron 3 Super 120B A12B
- Nemotron 3.5 Lightning 30B A3B vs Nemotron 3 Ultra 550B A55B
- Nemotron 3.5 Lightning 30B A3B vs North Mini Code 1.0
- Nemotron 3.5 Lightning 30B A3B vs occamy-1.0
- Nemotron 3.5 Lightning 30B A3B vs Olmo 3 7B Think
- Nemotron 3.5 Lightning 30B A3B vs Ornith-1.5-122B
- Nemotron 3.5 Lightning 30B A3B vs Ornith-1.5-35B-A3B
- Nemotron 3.5 Lightning 30B A3B vs Ornith-1.5-397B
- Nemotron 3.5 Lightning 30B A3B vs Ornith-1.5-9B
- Nemotron 3.5 Lightning 30B A3B vs OTel-2.0-LLM-31B-IT
- Nemotron 3.5 Lightning 30B A3B vs Qwen-AgentWorld-35B-A3B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-30B-A3B-Instruct-2507
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-4B-Instruct-2507
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-0.8B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-122B-A10B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-2B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-397B-A17B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-4B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-9B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.6-27B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.6-35B-A3B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.8-27B
- Nemotron 3.5 Lightning 30B A3B vs Qwen3.8-Flash-Next
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-Coder-30B-A3B-Instruct
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-Coder-Next
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-Omni-30B-A3B-Instruct
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-VL-2B-Instruct
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-VL-30B-A3B-Instruct
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-VL-32B-Instruct
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-VL-4B-Instruct
- Nemotron 3.5 Lightning 30B A3B vs Qwen3-VL-8B-Instruct
- Nemotron 3.5 Lightning 30B A3B vs Qwopus3.8-27B-Flash-V2
- Nemotron 3.5 Lightning 30B A3B vs Recursive Flint
- Nemotron 3.5 Lightning 30B A3B vs Ripple-65B Preview
- Nemotron 3.5 Lightning 30B A3B vs SenseNova-Loop-9B-Preview
- Nemotron 3.5 Lightning 30B A3B vs SmolLM3-3B
- Nemotron 3.5 Lightning 30B A3B vs Spark-X2.6-4B
- Nemotron 3.5 Lightning 30B A3B vs Step 3.7 Flash
- Nemotron 3.5 Lightning 30B A3B vs Swift 1.5 Qwen3.8-27B
- Nemotron 3.5 Lightning 30B A3B vs Swift 1.5 Qwen3.8-Flash-Next
- Nemotron 3.5 Lightning 30B A3B vs ThinkingCap (Qwen3.8 27B)
- Nemotron 3.5 Lightning 30B A3B vs Baidu Unlimited-OCR-2
- Nemotron 3.5 Lightning 30B A3B vs WeVisOne-VL-2B
- Nemotron 3.5 Lightning 30B A3B vs WeVisOne-VL-4B
- Nemotron 3.5 Lightning 30B A3B vs ZAYA1-8B
Machine-readable
- This page as Markdown
/compare/minicpm-v-4-7-35b-a3b-vs-nemotron-3-5-lightning-30b-a3b.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/minicpm-v-4-7-35b-a3b.json·/api/v1/tools/nemotron-3-5-lightning-30b-a3b.json - From a terminal
anchor compare minicpm-v-4-7-35b-a3b nemotron-3-5-lightning-30b-a3b(the CLI) - Over MCP
compare_tools {"a": "minicpm-v-4-7-35b-a3b", "b": "nemotron-3-5-lightning-30b-a3b"}at/mcp, no key