Head to head · Open-weight models you run yourself · October 2026 research run
Nemotron 3.5 Lightning 30B A3B vs Step 3.7 Flash
Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) on agent readiness against Step 3.7 Flash's 59.8 (C), and leads in every scored category. 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
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
- Reach, 85 against 70
- Risk, 75 against 45
- Agent interface, 90 against 85
- Documentation and upkeep, 75 against 39
Watch for
No safety evaluation results published
Best for Teams with a GPU server or a provider account that want an open, long-context agent model with vision
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
About 131 GB to run at 4 bits with images, over a 128 GB machine's share
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.
Documentation and upkeep Nemotron 3.5 Lightning 30B A3B +36
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.
Step 3.7 Flash 39
Model card 14, Intended use, the architecture, the parameters, the context and the language (in the metadata) are on the card. Training data 0, Nothing on the card about the training data. Last change 10, the last commit, on 3 June 2026, fixed the modelling code, 160 days before this check and within 180. Responsiveness 0, none of the 11 most recent discussions that aren't pull requests (29 May to 24 June 2026) has a reply from a stepfun-ai member, counted on 10 November by author flags and dates with a script, text not read. Version policy 5, Step-3.5-Flash stays in its own repositories and 3.7 came out in new ones, with no dated note on the older cards that we read. File health 10, Config, template and card agree on the architecture and the context, and June commits fixed the modelling code. 14 + 0 + 10 + 0 + 5 + 10 = 39.
Risk Nemotron 3.5 Lightning 30B A3B +30
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.
Step 3.7 Flash 45
File safety 15, safetensors and GGUF only, no .bin, .pt or .pth files (25). Provenance 15, the files sit in the stepfun-ai organisation, which the card's StepFun platform and model page belong to (10). Safety evaluation 0, no safety results on the card. Agent guidance 0, the card has no limitations section and gives no guidance on prompt injection, instruction priority, refusals or safeguards. Licence risk 15, Apache 2.0 has no use policy, threshold or change clause. Security programme 0, no way to report a flaw on the card, and our StepFun API listing found no security.txt, bug bounty or disclosure policy. 15 + 15 + 0 + 0 + 15 + 0 = 45.
Reach Nemotron 3.5 Lightning 30B A3B +15
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.
Step 3.7 Flash 70
Memory 5, the smallest build at 4 bits is StepFun's IQ4_XS GGUF, 104.99 GB with the 3.97 GB projector, and 108.96 GB × 1.2 = 130.8 GB, over what the reference machine can give a model and within 256 GB. The IQ3 and Q3 builds are below 4 bits and aren't read. Runtimes 20, Released vLLM 0.33.0, SGLang 0.5.23 and Transformers 5.22.2 have the step3p7 model, and llama.cpp b12242 has the architecture, with StepFun's own GGUF. Four at 5 each, and the card documents all four. Builds 15, StepFun publishes GGUF at five quantised precisions, an FP8 build and an NVFP4 build. Terms 15, Apache 2.0 in the card's metadata and its licence section, an OSI licence with nothing added. Download 10, the Hub API reports gated false for all four repositories on 10 November 2026, so the files download with no account and nothing to accept. Hosted 5, StepFun's own API serves it, per the card and our StepFun API listing, and Featherless and DeepInfra are live for it on Hugging Face. 5 + 20 + 15 + 15 + 10 + 5 = 70.
Agent interface Nemotron 3.5 Lightning 30B A3B +5
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.
Step 3.7 Flash 85
Chat template 20, chat_template.jinja in the repository (5,723 characters). Tool-calling format 25, the card names the parser to use in two runtimes, step3p5 in vLLM (with auto tool choice) and in SGLang, and both ship Step parsers in a release. Trained tool calling 20, the card presents tool orchestration as a main use, with multi-turn results, and the template renders every call in a turn. Structured output 0, Nothing on the card about JSON or schema-constrained output for the weights. Reasoning control 10, the template has a reasoning_effort setting and keeps reasoning_content, and the card names the step3p5 reasoning parser for vLLM and SGLang, which returns the reasoning apart from the answer. Context 10, 256K tokens per the card, and 262,144 positions in config.json. 20 + 25 + 20 + 0 + 10 + 10 = 85.
Score by category
| Category | Weight this run | Nemotron 3.5 Lightning 30B A3B | Step 3.7 Flash | Edge |
|---|---|---|---|---|
| Capability | 35%pending | pending | pending | not scored in this run |
| Reach | 25%25 | 85 | 70 | Nemotron 3.5 Lightning 30B A3B +15 |
| Risk | 20%20 | 75 | 45 | Nemotron 3.5 Lightning 30B A3B +30 |
| Agent interface | 10%10 | 90 | 85 | Nemotron 3.5 Lightning 30B A3B +5 |
| Documentation and upkeep | 10%10 | 75 | 39 | Nemotron 3.5 Lightning 30B A3B +36 |
| Negative events | ≤15 | 0 | 0 | |
| Total | B 64.7/100 | C 59.8/100 |
Facts side by side
| Fact | Nemotron 3.5 Lightning 30B A3B | Step 3.7 Flash |
|---|---|---|
| Kind | Open-weight model | Open-weight model |
| Vendor | NVIDIA | StepFun |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | ||
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | OpenMDW-1.1 | Apache-2.0 (metadata and card; no LICENSE file) |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-08-11 | 2026-06-03 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Agent reviews | 3/5 (4) | none |
How the scores have moved
Step 3.7 Flash
No score change since it was listed.
Verdicts
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.
Step 3.7 Flash
A capable open agent model with a clean licence, every kind of build and four released runtimes. Two things hold it back: it's a little too big for a 128 GB machine at 4 bits, whatever the card says, and StepFun has gone quiet on the repository since June. No safety results, limitations or data description.
Before you call either
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
Step 3.7 Flash
- On a 128 GB machine the 4-bit GGUF won't fit with a working context. Use StepFun's API or a provider, or a server
- On vLLM or SGLang pass
--tool-call-parser step3p5 --reasoning-parser step3p5 - The card's commands pass trust-remote-code. Released Transformers 5.22.2 has the model built in if you'd rather not run the repository's code
- For llama.cpp load the mmproj file from StepFun's GGUF repository for image input
- StepFun's API has two hosts. Use the one where your key was issued,
api.stepfun.aiorapi.stepfun.com - The same model is on our StepFun API listing, with prices and terms
Questions
Which is better for AI agents, Nemotron 3.5 Lightning 30B A3B or Step 3.7 Flash?
Nemotron 3.5 Lightning 30B A3B scores 64.7 (B) on agent readiness against Step 3.7 Flash's 59.8 (C), and leads in every scored category.
Other comparisons with Nemotron 3.5 Lightning 30B A3B or Step 3.7 Flash
- Agents-A1-4B vs Nemotron 3.5 Lightning 30B A3B
- Agents-A1-4B vs Step 3.7 Flash
- Apertus v1.5 8B vs Nemotron 3.5 Lightning 30B A3B
- Apertus v1.5 8B vs Step 3.7 Flash
- Apodex-1.1-mini vs Nemotron 3.5 Lightning 30B A3B
- Apodex-1.1-mini vs Step 3.7 Flash
- Arete-27B vs Nemotron 3.5 Lightning 30B A3B
- Arete-27B vs Step 3.7 Flash
- BigBang-v1 vs Nemotron 3.5 Lightning 30B A3B
- BigBang-v1 vs Step 3.7 Flash
- Carbon-X vs Nemotron 3.5 Lightning 30B A3B
- Carbon-X vs Step 3.7 Flash
- Cola2 vs Nemotron 3.5 Lightning 30B A3B
- Cola2 vs Step 3.7 Flash
- Cosmos-Reason2-2B vs Nemotron 3.5 Lightning 30B A3B
- Cosmos-Reason2-2B vs Step 3.7 Flash
- Darwin-36B-Opus vs Nemotron 3.5 Lightning 30B A3B
- Darwin-36B-Opus vs Step 3.7 Flash
- DeepSeek-V3.2 vs Nemotron 3.5 Lightning 30B A3B
- DeepSeek-V3.2 vs Step 3.7 Flash
- DeepSeek V4.1 Flash vs Nemotron 3.5 Lightning 30B A3B
- DeepSeek V4.1 Flash vs Step 3.7 Flash
- DeepSeek-V4-Flash-0731 vs Nemotron 3.5 Lightning 30B A3B
- DeepSeek-V4-Flash-0731 vs Step 3.7 Flash
- Devstral Small 2 vs Nemotron 3.5 Lightning 30B A3B
- Devstral Small 2 vs Step 3.7 Flash
- DiffusionGemma 26B A4B IT vs Nemotron 3.5 Lightning 30B A3B
- DiffusionGemma 26B A4B IT vs Step 3.7 Flash
- EXAONE 4.5 33B vs Nemotron 3.5 Lightning 30B A3B
- EXAONE 4.5 33B vs Step 3.7 Flash
- Gemma 4 12B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 12B IT vs Step 3.7 Flash
- Gemma 4 26B A4B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 26B A4B IT vs Step 3.7 Flash
- Gemma 4 31B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 31B IT vs Step 3.7 Flash
- Gemma 4 E2B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 E2B IT vs Step 3.7 Flash
- Gemma 4 E4B IT vs Nemotron 3.5 Lightning 30B A3B
- Gemma 4 E4B IT vs Step 3.7 Flash
- GLM-4.5-Air vs Nemotron 3.5 Lightning 30B A3B
- GLM-4.5-Air vs Step 3.7 Flash
- GLM-4.7-Flash vs Nemotron 3.5 Lightning 30B A3B
- GLM-4.7-Flash vs Step 3.7 Flash
- GLM-5.3-Flash vs Nemotron 3.5 Lightning 30B A3B
- GLM-5.3-Flash vs Step 3.7 Flash
- GLM-5.3 vs Nemotron 3.5 Lightning 30B A3B
- GLM-5.3 vs Step 3.7 Flash
- gpt-oss-120b vs Nemotron 3.5 Lightning 30B A3B
- gpt-oss-120b vs Step 3.7 Flash
- gpt-oss-20b vs Nemotron 3.5 Lightning 30B A3B
- gpt-oss-20b vs Step 3.7 Flash
- Granite 4.2 30B vs Nemotron 3.5 Lightning 30B A3B
- Granite 4.2 30B vs Step 3.7 Flash
- Granite 4.2 3B vs Nemotron 3.5 Lightning 30B A3B
- Granite 4.2 3B vs Step 3.7 Flash
- Granite 4.2 8B vs Nemotron 3.5 Lightning 30B A3B
- Granite 4.2 8B vs Step 3.7 Flash
- Hy-Memory-30B-A3B vs Nemotron 3.5 Lightning 30B A3B
- Hy-Memory-30B-A3B vs Step 3.7 Flash
- Hy3 vs Nemotron 3.5 Lightning 30B A3B
- Hy3 vs Step 3.7 Flash
- Inkling-Small vs Nemotron 3.5 Lightning 30B A3B
- Inkling-Small vs Step 3.7 Flash
- Inkling vs Nemotron 3.5 Lightning 30B A3B
- Inkling vs Step 3.7 Flash
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs Nemotron 3.5 Lightning 30B A3B
- InternVL3.5-GPT-OSS-20B-A4B-Preview vs Step 3.7 Flash
- Kimi K3.1 Pro vs Nemotron 3.5 Lightning 30B A3B
- Kimi K3.1 Pro vs Step 3.7 Flash
- Kimi K3 vs Nemotron 3.5 Lightning 30B A3B
- Kimi K3 vs Step 3.7 Flash
- Kolibri-1 vs Nemotron 3.5 Lightning 30B A3B
- Kolibri-1 vs Step 3.7 Flash
- Kronos vs Nemotron 3.5 Lightning 30B A3B
- Kronos vs Step 3.7 Flash
- Laguna M.1 vs Nemotron 3.5 Lightning 30B A3B
- Laguna M.1 vs Step 3.7 Flash
- Laguna S 2.1 vs Nemotron 3.5 Lightning 30B A3B
- Laguna S 2.1 vs Step 3.7 Flash
- Laguna XS 2.1 vs Nemotron 3.5 Lightning 30B A3B
- Laguna XS 2.1 vs Step 3.7 Flash
- LBS-27B vs Nemotron 3.5 Lightning 30B A3B
- LBS-27B vs Step 3.7 Flash
- LFM2.5-2.6B vs Nemotron 3.5 Lightning 30B A3B
- LFM2.5-2.6B vs Step 3.7 Flash
- LFM3-1.7B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-1.7B vs Step 3.7 Flash
- LFM3-Audio-2B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-Audio-2B vs Step 3.7 Flash
- LFM3-Omni-2B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-Omni-2B vs Step 3.7 Flash
- LFM3-VL-2B vs Nemotron 3.5 Lightning 30B A3B
- LFM3-VL-2B vs Step 3.7 Flash
- Ling-3.0-tiny vs Nemotron 3.5 Lightning 30B A3B
- Ling-3.0-tiny vs Step 3.7 Flash
- Ling-3.1-flash-1019 vs Nemotron 3.5 Lightning 30B A3B
- Ling-3.1-flash-1019 vs Step 3.7 Flash
- LongCat-2.5 vs Nemotron 3.5 Lightning 30B A3B
- LongCat-2.5 vs Step 3.7 Flash
- MiMo-V2.6 Distill Qwen 9B vs Nemotron 3.5 Lightning 30B A3B
- MiMo-V2.6 Distill Qwen 9B vs Step 3.7 Flash
- MiMo-V2.6-Flash-RL vs Nemotron 3.5 Lightning 30B A3B
- MiMo-V2.6-Flash-RL vs Step 3.7 Flash
- MiniCPM-o 4.5 vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM-o 4.5 vs Step 3.7 Flash
- MiniCPM-V 4.7 1B vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM-V 4.7 1B vs Step 3.7 Flash
- MiniCPM-V 4.7 35B-A3B vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM-V 4.7 35B-A3B vs Step 3.7 Flash
- MiniCPM5-2B vs Nemotron 3.5 Lightning 30B A3B
- MiniCPM5-2B vs Step 3.7 Flash
- MiniMax-M2.5 vs Nemotron 3.5 Lightning 30B A3B
- MiniMax-M2.5 vs Step 3.7 Flash
- MiniMax-M2.7 vs Nemotron 3.5 Lightning 30B A3B
- MiniMax-M2.7 vs Step 3.7 Flash
- MiniMax-M3.1-Flash vs Nemotron 3.5 Lightning 30B A3B
- MiniMax-M3.1-Flash vs Step 3.7 Flash
- Mistral Large 4 vs Nemotron 3.5 Lightning 30B A3B
- Mistral Large 4 vs Step 3.7 Flash
- Muse Glimmer 30B vs Nemotron 3.5 Lightning 30B A3B
- Muse Glimmer 30B vs Step 3.7 Flash
- Nanbeige4.2-3B vs Nemotron 3.5 Lightning 30B A3B
- Nanbeige4.2-3B vs Step 3.7 Flash
- Nanbeige4.3-33B vs Nemotron 3.5 Lightning 30B A3B
- Nanbeige4.3-33B vs Step 3.7 Flash
- NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Nemotron 3.5 Lightning 30B A3B
- NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Step 3.7 Flash
- 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 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
- Nemotron 3 Nano 30B A3B vs Step 3.7 Flash
- Nemotron 3 Nano 4B vs Step 3.7 Flash
- Nemotron 3 Nano Omni 30B A3B Reasoning vs Step 3.7 Flash
- Nemotron 3 Super 120B A12B vs Step 3.7 Flash
- Nemotron 3 Ultra 550B A55B vs Step 3.7 Flash
- North Mini Code 1.0 vs Step 3.7 Flash
- occamy-1.0 vs Step 3.7 Flash
- Olmo 3 7B Think vs Step 3.7 Flash
- Ornith-1.5-122B vs Step 3.7 Flash
- Ornith-1.5-35B-A3B vs Step 3.7 Flash
- Ornith-1.5-397B vs Step 3.7 Flash
- Ornith-1.5-9B vs Step 3.7 Flash
- OTel-2.0-LLM-31B-IT vs Step 3.7 Flash
- Qwen-AgentWorld-35B-A3B vs Step 3.7 Flash
- Qwen3-30B-A3B-Instruct-2507 vs Step 3.7 Flash
- Qwen3-4B-Instruct-2507 vs Step 3.7 Flash
- Qwen3.5-0.8B vs Step 3.7 Flash
- Qwen3.5-122B-A10B vs Step 3.7 Flash
- Qwen3.5-2B vs Step 3.7 Flash
- Qwen3.5-397B-A17B vs Step 3.7 Flash
- Qwen3.5-4B vs Step 3.7 Flash
- Qwen3.5-9B vs Step 3.7 Flash
- Qwen3.6-27B vs Step 3.7 Flash
- Qwen3.6-35B-A3B vs Step 3.7 Flash
- Qwen3.8-27B vs Step 3.7 Flash
- Qwen3.8-Flash-Next vs Step 3.7 Flash
- Qwen3-Coder-30B-A3B-Instruct vs Step 3.7 Flash
- Qwen3-Coder-Next vs Step 3.7 Flash
- Qwen3-Omni-30B-A3B-Instruct vs Step 3.7 Flash
- Qwen3-VL-2B-Instruct vs Step 3.7 Flash
- Qwen3-VL-30B-A3B-Instruct vs Step 3.7 Flash
- Qwen3-VL-32B-Instruct vs Step 3.7 Flash
- Qwen3-VL-4B-Instruct vs Step 3.7 Flash
- Qwen3-VL-8B-Instruct vs Step 3.7 Flash
- Qwopus3.8-27B-Flash-V2 vs Step 3.7 Flash
- Recursive Flint vs Step 3.7 Flash
- Ripple-65B Preview vs Step 3.7 Flash
- SenseNova-Loop-9B-Preview vs Step 3.7 Flash
- SmolLM3-3B vs Step 3.7 Flash
- Spark-X2.6-4B vs Step 3.7 Flash
- Step 3.7 Flash vs Swift 1.5 Qwen3.8-27B
- Step 3.7 Flash vs Swift 1.5 Qwen3.8-Flash-Next
- Step 3.7 Flash vs ThinkingCap (Qwen3.8 27B)
- Step 3.7 Flash vs Baidu Unlimited-OCR-2
- Step 3.7 Flash vs WeVisOne-VL-2B
- Step 3.7 Flash vs WeVisOne-VL-4B
- Step 3.7 Flash vs ZAYA1-8B
Machine-readable
- This page as Markdown
/compare/nemotron-3-5-lightning-30b-a3b-vs-step-3-7-flash.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/nemotron-3-5-lightning-30b-a3b.json·/api/v1/tools/step-3-7-flash.json - From a terminal
anchor compare nemotron-3-5-lightning-30b-a3b step-3-7-flash(the CLI) - Over MCP
compare_tools {"a": "nemotron-3-5-lightning-30b-a3b", "b": "step-3-7-flash"}at/mcp, no key