NVIDIA Nemotron 3.5 Lightning 30B A3B vs GLM 5V Turbo
At a Glance
| Compare | GLM 5V TurboZ.ai | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,049K | 200K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | NVIDIA Nemotron 3.5 Lightning 30B-A3B | GLM-5V-Turbo |
|---|---|---|
| Developer | NVIDIA | Z.ai |
| Family | Nvidia Nemotron 3 5 Lightning | Glm 5v |
| Model | NVIDIA Nemotron 3.5 Lightning 30B-A3B | GLM-5V-Turbo |
| Version | NVIDIA Nemotron 3.5 Lightning 30B-A3B | GLM-5V-Turbo |
| Lifecycle | active | active |
| Released | 2026-08-11 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 200K |
| Total parameters | 30B | Unknown |
| Active parameters | 3B | Unknown |
| License | openmdw-1.1 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Fireworks Ai (Standard) | Z.ai (Standard) |
| Capabilities | agents, chat, generation, reasoning, tools | agents, chat, computer-use, reasoning, tools, vision |
NVIDIA Nemotron 3.5 Lightning 30B A3B Capabilities
GLM 5V Turbo Capabilities
Primary Evidence
Sources and Freshness
Questions
NVIDIA Nemotron 3.5 Lightning 30B A3B vs GLM 5V Turbo FAQs
Is NVIDIA Nemotron 3.5 Lightning 30B A3B or GLM 5V Turbo better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3.5 Lightning 30B A3B and GLM 5V Turbo, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, NVIDIA Nemotron 3.5 Lightning 30B A3B or GLM 5V Turbo?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, NVIDIA Nemotron 3.5 Lightning 30B A3B or GLM 5V Turbo?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has the larger sourced context window. NVIDIA Nemotron 3.5 Lightning 30B A3B supports 1,049K and GLM 5V Turbo supports 200K.
Which performs better in benchmarks, NVIDIA Nemotron 3.5 Lightning 30B A3B or GLM 5V Turbo?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can NVIDIA Nemotron 3.5 Lightning 30B A3B or GLM 5V Turbo be self-hosted?+
NVIDIA Nemotron 3.5 Lightning 30B A3B is the only model in this pair currently marked as self-hostable. NVIDIA Nemotron 3.5 Lightning 30B A3B is open weight; GLM 5V Turbo is not marked open weight.
Can NVIDIA Nemotron 3.5 Lightning 30B A3B and GLM 5V Turbo understand images?+
NVIDIA Nemotron 3.5 Lightning 30B A3B is not documented with image input; GLM 5V Turbo is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, NVIDIA Nemotron 3.5 Lightning 30B A3B or GLM 5V Turbo?+
Neither has a larger sourced maximum output. NVIDIA Nemotron 3.5 Lightning 30B A3B is — and GLM 5V Turbo is 131K.
Do NVIDIA Nemotron 3.5 Lightning 30B A3B and GLM 5V Turbo support reasoning and tool use?+
NVIDIA Nemotron 3.5 Lightning 30B A3B: reasoning and tool calling. GLM 5V Turbo: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, NVIDIA Nemotron 3.5 Lightning 30B A3B or GLM 5V Turbo?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has 1 sourced provider route; GLM 5V Turbo has 1, a tie.
Which offers better value, NVIDIA Nemotron 3.5 Lightning 30B A3B or GLM 5V Turbo?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.