NVIDIA Nemotron 3 Nano 30B A3B BF16 vs GLM OCR
At a Glance
| Compare |  GLM OCRZ.ai | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.050Openrouter ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.20Openrouter ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 262K | 131K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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-Nano-30B-A3B-BF16 | GLM-OCR |
|---|---|---|
| Developer | NVIDIA | Z.ai |
| Family | Nvidia Nemotron 3 Nano 30b A3b Bf16 | Glm OCR |
| Model | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | GLM-OCR |
| Version | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | GLM-OCR |
| Lifecycle | active | active |
| Released | 2025-12-15 | Unknown |
| Knowledge cutoff | 2025-11-28 | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 131K |
| Total parameters | 31.6B | 1.3B |
| Active parameters | 3.5B | Unknown |
| License | other | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
NVIDIA Nemotron 3 Nano 30B A3B BF16 Capabilities
GLM OCR Capabilities
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Primary Evidence
Sources and Freshness
Questions
NVIDIA Nemotron 3 Nano 30B A3B BF16 vs GLM OCR FAQs
Is NVIDIA Nemotron 3 Nano 30B A3B BF16 or GLM OCR better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Nano 30B A3B BF16 and GLM OCR, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GLM OCR?+
Only NVIDIA Nemotron 3 Nano 30B A3B BF16 has a directly sourced input price: $0.050 per million tokens. Only NVIDIA Nemotron 3 Nano 30B A3B BF16 has a directly sourced output price: $0.20 per million tokens.
Which has a larger context window, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GLM OCR?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 has the larger sourced context window. NVIDIA Nemotron 3 Nano 30B A3B BF16 supports 262K and GLM OCR supports 131K.
Which performs better in benchmarks, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GLM OCR?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can NVIDIA Nemotron 3 Nano 30B A3B BF16 or GLM OCR be self-hosted?+
Both models have the same recorded self-hosting status: supported. NVIDIA Nemotron 3 Nano 30B A3B BF16 is open weight; GLM OCR is open weight.
Can NVIDIA Nemotron 3 Nano 30B A3B BF16 and GLM OCR understand images?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 is not documented with image input; GLM OCR is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GLM OCR?+
Neither has a larger sourced maximum output. NVIDIA Nemotron 3 Nano 30B A3B BF16 is 1,049K and GLM OCR is —.
Do NVIDIA Nemotron 3 Nano 30B A3B BF16 and GLM OCR support reasoning and tool use?+
NVIDIA Nemotron 3 Nano 30B A3B BF16: reasoning and tool calling. GLM OCR: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GLM OCR?+
NVIDIA Nemotron 3 Nano 30B A3B BF16 has 3 sourced provider routes; GLM OCR has 1, so NVIDIA Nemotron 3 Nano 30B A3B BF16 has broader tracked availability.
Which offers better value, NVIDIA Nemotron 3 Nano 30B A3B BF16 or GLM OCR?+
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.