Granite Embedding 311m Multilingual r2 vs Inkling
At a Glance
| Compare | InklingThinking Machines Lab | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #34 of 4645.4 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #18 of 44$0.090 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #28 of 3848.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.95Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $4.05Deepinfra ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 33K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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-311m-multilingual-r2 | Inkling |
|---|---|---|
| Developer | IBM | Thinking Machines Lab |
| Family | Granite Embedding 311m Multilingual R2 | Inkling |
| Model | granite-embedding-311m-multilingual-r2 | Inkling |
| Version | granite-embedding-311m-multilingual-r2 | Inkling |
| Lifecycle | active | active |
| Released | 2026-04-29 | 2026-07-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio |
| Output modalities | Embedding | Text |
| Context window | 33K | 1,049K |
| Total parameters | 311.7M | 975B |
| Active parameters | Unknown | 41B |
| License | apache-2.0 | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | embeddings | agents, chat, coding, generation, reasoning, tools, vision |
Granite Embedding 311m Multilingual r2 Capabilities
Inkling Capabilities
Primary Evidence
Sources and Freshness
Questions
Granite Embedding 311m Multilingual r2 vs Inkling FAQs
Is Granite Embedding 311m Multilingual r2 or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Granite Embedding 311m Multilingual r2 and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Granite Embedding 311m Multilingual r2 or Inkling?+
Only Inkling has a directly sourced input price: $0.95 per million tokens. Only Inkling has a directly sourced output price: $4.05 per million tokens.
Which has a larger context window, Granite Embedding 311m Multilingual r2 or Inkling?+
Inkling has the larger sourced context window. Granite Embedding 311m Multilingual r2 supports 33K and Inkling supports 1,049K.
Which performs better in benchmarks, Granite Embedding 311m Multilingual r2 or Inkling?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Granite Embedding 311m Multilingual r2 or Inkling be self-hosted?+
Both models have the same recorded self-hosting status: supported. Granite Embedding 311m Multilingual r2 is open weight; Inkling is open weight.
Can Granite Embedding 311m Multilingual r2 and Inkling understand images?+
Granite Embedding 311m Multilingual r2 is not documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Granite Embedding 311m Multilingual r2 or Inkling?+
Neither has a larger sourced maximum output. Granite Embedding 311m Multilingual r2 is — and Inkling is —.
Do Granite Embedding 311m Multilingual r2 and Inkling support reasoning and tool use?+
Granite Embedding 311m Multilingual r2: none of these features are definitively sourced. Inkling: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Granite Embedding 311m Multilingual r2 or Inkling?+
Granite Embedding 311m Multilingual r2 has 1 sourced provider route; Inkling has 4, so Inkling has broader tracked availability.
Which offers better value, Granite Embedding 311m Multilingual r2 or Inkling?+
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.