Granite 4.2 8B vs Granite Embedding 107m Multilingual
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.060Deepinfra ↗ · Sep 22, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.25Deepinfra ↗ · Sep 22, 2026 | Not reported |
| Context windowMaximum documented tokens | 131K | 1K |
| Model facts checked | Sep 2, 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 4.2 8B | granite-embedding-107m-multilingual |
|---|---|---|
| Developer | IBM | IBM |
| Family | Granite 4 2 | Granite Embedding 107m Multilingual |
| Model | Granite 4.2 8B | granite-embedding-107m-multilingual |
| Version | Granite 4.2 8B | granite-embedding-107m-multilingual |
| Lifecycle | active | active |
| Released | 2026-08-25 | 2024-12-18 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Embedding |
| Context window | 131K | 1K |
| Total parameters | 8.8B | 107M |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | Hugging Face (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | embeddings |
Granite 4.2 8B Capabilities
Granite Embedding 107m Multilingual Capabilities
Primary Evidence
Sources and Freshness
Questions
Granite 4.2 8B vs Granite Embedding 107m Multilingual FAQs
Is Granite 4.2 8B or Granite Embedding 107m Multilingual better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.2 8B and Granite Embedding 107m Multilingual, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Granite 4.2 8B or Granite Embedding 107m Multilingual?+
Only Granite 4.2 8B has a directly sourced input price: $0.060 per million tokens. Only Granite 4.2 8B has a directly sourced output price: $0.25 per million tokens.
Which has a larger context window, Granite 4.2 8B or Granite Embedding 107m Multilingual?+
Granite 4.2 8B has the larger sourced context window. Granite 4.2 8B supports 131K and Granite Embedding 107m Multilingual supports 1K.
Which performs better in benchmarks, Granite 4.2 8B or Granite Embedding 107m Multilingual?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Granite 4.2 8B or Granite Embedding 107m Multilingual be self-hosted?+
Both models have the same recorded self-hosting status: supported. Granite 4.2 8B is open weight; Granite Embedding 107m Multilingual is open weight.
Can Granite 4.2 8B and Granite Embedding 107m Multilingual understand images?+
Granite 4.2 8B is not documented with image input; Granite Embedding 107m Multilingual is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Granite 4.2 8B or Granite Embedding 107m Multilingual?+
Neither has a larger sourced maximum output. Granite 4.2 8B is — and Granite Embedding 107m Multilingual is —.
Do Granite 4.2 8B and Granite Embedding 107m Multilingual support reasoning and tool use?+
Granite 4.2 8B: reasoning and tool calling. Granite Embedding 107m Multilingual: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Granite 4.2 8B or Granite Embedding 107m Multilingual?+
Granite 4.2 8B has 2 sourced provider routes; Granite Embedding 107m Multilingual has 1, so Granite 4.2 8B has broader tracked availability.
Which offers better value, Granite 4.2 8B or Granite Embedding 107m Multilingual?+
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.