Gemini 3.7 Flash vs Granite Embedding English r2
At a Glance
| Compare |  Gemini 3.7 FlashGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #4 of 4687.7 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #17 of 44$0.085 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #2 of 3869.9 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.75Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $3.75Google 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 3.7 Flash | granite-embedding-english-r2 |
|---|---|---|
| Developer | Google DeepMind | IBM |
| Family | Gemini 3 | Granite Embedding English R2 |
| Model | Gemini 3.7 Flash | granite-embedding-english-r2 |
| Version | Gemini 3.7 Flash | granite-embedding-english-r2 |
| Lifecycle | active | 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 3.7 Flash Capabilities
Granite Embedding English r2 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.7 Flash vs Granite Embedding English r2 FAQs
Is Gemini 3.7 Flash or Granite Embedding English r2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.7 Flash 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 3.7 Flash or Granite Embedding English r2?+
Only Gemini 3.7 Flash has a directly sourced input price: $0.75 per million tokens. Only Gemini 3.7 Flash has a directly sourced output price: $3.75 per million tokens.
Which has a larger context window, Gemini 3.7 Flash or Granite Embedding English r2?+
Gemini 3.7 Flash has the larger sourced context window. Gemini 3.7 Flash supports 1,049K and Granite Embedding English r2 supports 8K.
Which performs better in benchmarks, Gemini 3.7 Flash 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 3.7 Flash 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 3.7 Flash is not marked open weight; Granite Embedding English r2 is open weight.
Can Gemini 3.7 Flash and Granite Embedding English r2 understand images?+
Gemini 3.7 Flash 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 3.7 Flash or Granite Embedding English r2?+
Neither has a larger sourced maximum output. Gemini 3.7 Flash is 66K and Granite Embedding English r2 is —.
Do Gemini 3.7 Flash and Granite Embedding English r2 support reasoning and tool use?+
Gemini 3.7 Flash: 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 3.7 Flash or Granite Embedding English r2?+
Gemini 3.7 Flash has 2 sourced provider routes; Granite Embedding English r2 has 0, so Gemini 3.7 Flash has broader tracked availability.
Which offers better value, Gemini 3.7 Flash 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.