Granite Embedding 278m Multilingual vs Llama 4 Scout 17B 16E Instruct
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.106IBM watsonx.ai ↗ · Aug 29, 2026 | $0.10Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.30Deepinfra ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 1K | 10,000K |
| 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 | Llama-4-Scout-17B-16E-Instruct |
|---|---|---|
| Developer | IBM | Meta |
| Family | Granite Embedding 278m Multilingual | Llama 4 Scout 17b 16e Instruct |
| Model | granite-embedding-278m-multilingual | Llama-4-Scout-17B-16E-Instruct |
| Version | granite-embedding-278m-multilingual | Llama-4-Scout-17B-16E-Instruct |
| Lifecycle | active | active |
| Released | 2024-12-18 | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Embedding | Text |
| Context window | 1K | 10,000K |
| Total parameters | 278M | 108.6B |
| Active parameters | Unknown | 17B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), IBM watsonx.ai (Pay as you go) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | embeddings | chat, generation, tools |
Granite Embedding 278m Multilingual Capabilities
Llama 4 Scout 17B 16E Instruct Capabilities
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Primary Evidence
Sources and Freshness
Questions
Granite Embedding 278m Multilingual vs Llama 4 Scout 17B 16E Instruct FAQs
Is Granite Embedding 278m Multilingual or Llama 4 Scout 17B 16E Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Granite Embedding 278m Multilingual and Llama 4 Scout 17B 16E Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Granite Embedding 278m Multilingual or Llama 4 Scout 17B 16E Instruct?+
Granite Embedding 278m Multilingual is $0.106 and Llama 4 Scout 17B 16E Instruct is $0.10 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric. Only Llama 4 Scout 17B 16E Instruct has a directly sourced output price: $0.30 per million tokens.
Which has a larger context window, Granite Embedding 278m Multilingual or Llama 4 Scout 17B 16E Instruct?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Granite Embedding 278m Multilingual supports 1K and Llama 4 Scout 17B 16E Instruct supports 10,000K.
Which performs better in benchmarks, Granite Embedding 278m Multilingual or Llama 4 Scout 17B 16E Instruct?+
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 Llama 4 Scout 17B 16E Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. Granite Embedding 278m Multilingual is open weight; Llama 4 Scout 17B 16E Instruct is open weight.
Can Granite Embedding 278m Multilingual and Llama 4 Scout 17B 16E Instruct understand images?+
Granite Embedding 278m Multilingual is not documented with image input; Llama 4 Scout 17B 16E Instruct is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Granite Embedding 278m Multilingual or Llama 4 Scout 17B 16E Instruct?+
Neither has a larger sourced maximum output. Granite Embedding 278m Multilingual is — and Llama 4 Scout 17B 16E Instruct is —.
Do Granite Embedding 278m Multilingual and Llama 4 Scout 17B 16E Instruct support reasoning and tool use?+
Granite Embedding 278m Multilingual: none of these features are definitively sourced. Llama 4 Scout 17B 16E Instruct: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Granite Embedding 278m Multilingual or Llama 4 Scout 17B 16E Instruct?+
Granite Embedding 278m Multilingual has 2 sourced provider routes; Llama 4 Scout 17B 16E Instruct has 4, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.
Which offers better value, Granite Embedding 278m Multilingual or Llama 4 Scout 17B 16E Instruct?+
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.