Granite Embedding 278m Multilingual vs NVIDIA Nemotron 3 Super 120B A12B Base BF16
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.106IBM watsonx.ai ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1K | 1,049K |
| 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 | granite-embedding-278m-multilingual | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 |
|---|---|---|
| Developer | IBM | NVIDIA |
| Family | Granite Embedding 278m Multilingual | Nvidia Nemotron 3 Super 120b A12b Base Bf16 |
| Model | granite-embedding-278m-multilingual | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 |
| Version | granite-embedding-278m-multilingual | NVIDIA-Nemotron-3-Super-120B-A12B-Base-BF16 |
| Lifecycle | active | active |
| Released | 2024-12-18 | 2026-03-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Embedding | Text |
| Context window | 1K | 1,049K |
| Total parameters | 278M | 123.6B |
| Active parameters | Unknown | 12B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), IBM watsonx.ai (Pay as you go) | Unknown |
| Capabilities | embeddings | generation |
Granite Embedding 278m Multilingual Capabilities
NVIDIA Nemotron 3 Super 120B A12B Base BF16 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Granite Embedding 278m Multilingual vs NVIDIA Nemotron 3 Super 120B A12B Base BF16 FAQs
Is Granite Embedding 278m Multilingual or NVIDIA Nemotron 3 Super 120B A12B Base BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Granite Embedding 278m Multilingual and NVIDIA Nemotron 3 Super 120B A12B Base BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Granite Embedding 278m Multilingual or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
Only Granite Embedding 278m Multilingual has a directly sourced input price: $0.106 per million tokens. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Granite Embedding 278m Multilingual or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
NVIDIA Nemotron 3 Super 120B A12B Base BF16 has the larger sourced context window. Granite Embedding 278m Multilingual supports 1K and NVIDIA Nemotron 3 Super 120B A12B Base BF16 supports 1,049K.
Which performs better in benchmarks, Granite Embedding 278m Multilingual or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Granite Embedding 278m Multilingual or NVIDIA Nemotron 3 Super 120B A12B Base BF16 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Granite Embedding 278m Multilingual is open weight; NVIDIA Nemotron 3 Super 120B A12B Base BF16 is open weight.
Can Granite Embedding 278m Multilingual and NVIDIA Nemotron 3 Super 120B A12B Base BF16 understand images?+
Granite Embedding 278m Multilingual is not documented with image input; NVIDIA Nemotron 3 Super 120B A12B Base BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Granite Embedding 278m Multilingual or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
Neither has a larger sourced maximum output. Granite Embedding 278m Multilingual is — and NVIDIA Nemotron 3 Super 120B A12B Base BF16 is —.
Do Granite Embedding 278m Multilingual and NVIDIA Nemotron 3 Super 120B A12B Base BF16 support reasoning and tool use?+
Granite Embedding 278m Multilingual: none of these features are definitively sourced. NVIDIA Nemotron 3 Super 120B A12B Base BF16: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Granite Embedding 278m Multilingual or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
Granite Embedding 278m Multilingual has 2 sourced provider routes; NVIDIA Nemotron 3 Super 120B A12B Base BF16 has 0, so Granite Embedding 278m Multilingual has broader tracked availability.
Which offers better value, Granite Embedding 278m Multilingual or NVIDIA Nemotron 3 Super 120B A12B Base BF16?+
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.