Gemini 3.1 Pro vs Granite Embedding English r2
At a Glance
| Compare |  Gemini 3.1 ProGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #9 of 4679.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #27 of 44$0.161 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #9 of 3859.2 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $12.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 8K |
| Model facts checked | Aug 29, 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 | Gemini 3.1 Pro | granite-embedding-english-r2 |
|---|---|---|
| Developer | Google DeepMind | IBM |
| Family | Gemini 3 | Granite Embedding English R2 |
| Model | Gemini 3.1 Pro | granite-embedding-english-r2 |
| Version | Gemini 3.1 Pro | granite-embedding-english-r2 |
| Lifecycle | preview | active |
| Released | Unknown | 2025-08-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text | Embedding |
| Context window | 1,049K | 8K |
| Total parameters | Unknown | 149M |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Unknown |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | embeddings |
Gemini 3.1 Pro Capabilities
Granite Embedding English r2 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs Granite Embedding English r2 FAQs
Is Gemini 3.1 Pro or Granite Embedding English r2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and Granite Embedding English r2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or Granite Embedding English r2?+
Only Gemini 3.1 Pro has a directly sourced input price: $2.00 per million tokens. Only Gemini 3.1 Pro has a directly sourced output price: $12.00 per million tokens.
Which has a larger context window, Gemini 3.1 Pro or Granite Embedding English r2?+
Gemini 3.1 Pro has the larger sourced context window. Gemini 3.1 Pro supports 1,049K and Granite Embedding English r2 supports 8K.
Which performs better in benchmarks, Gemini 3.1 Pro or Granite Embedding English r2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.1 Pro or Granite Embedding English r2 be self-hosted?+
Granite Embedding English r2 is the only model in this pair currently marked as self-hostable. Gemini 3.1 Pro is not marked open weight; Granite Embedding English r2 is open weight.
Can Gemini 3.1 Pro and Granite Embedding English r2 understand images?+
Gemini 3.1 Pro is documented with image input; Granite Embedding English r2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or Granite Embedding English r2?+
Neither has a larger sourced maximum output. Gemini 3.1 Pro is 66K and Granite Embedding English r2 is —.
Do Gemini 3.1 Pro and Granite Embedding English r2 support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. Granite Embedding English r2: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or Granite Embedding English r2?+
Gemini 3.1 Pro has 2 sourced provider routes; Granite Embedding English r2 has 0, so Gemini 3.1 Pro has broader tracked availability.
Which offers better value, Gemini 3.1 Pro or Granite Embedding English r2?+
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.