Gemini 3.5 Flash vs Granite Embedding 30m English
At a Glance
| Compare |  Gemini 3.5 FlashGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #15 of 4672.1 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #25 of 44$0.140 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #15 of 3856.8 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.50Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $9.00Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 1K |
| 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 3.5 Flash | granite-embedding-30m-english |
|---|---|---|
| Developer | Google DeepMind | IBM |
| Family | Gemini 3 | Granite Embedding 30m English |
| Model | Gemini 3.5 Flash | granite-embedding-30m-english |
| Version | Gemini 3.5 Flash | granite-embedding-30m-english |
| Lifecycle | active | active |
| Released | Unknown | 2025-08-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text | Embedding |
| Context window | 1,049K | 1K |
| Total parameters | Unknown | 30.3M |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Hugging Face (Standard) |
| Capabilities | chat, generation, reasoning, tools | embeddings |
Gemini 3.5 Flash Capabilities
Granite Embedding 30m English Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.5 Flash vs Granite Embedding 30m English FAQs
Is Gemini 3.5 Flash or Granite Embedding 30m English better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash and Granite Embedding 30m English, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.5 Flash or Granite Embedding 30m English?+
Only Gemini 3.5 Flash has a directly sourced input price: $1.50 per million tokens. Only Gemini 3.5 Flash has a directly sourced output price: $9.00 per million tokens.
Which has a larger context window, Gemini 3.5 Flash or Granite Embedding 30m English?+
Gemini 3.5 Flash has the larger sourced context window. Gemini 3.5 Flash supports 1,049K and Granite Embedding 30m English supports 1K.
Which performs better in benchmarks, Gemini 3.5 Flash or Granite Embedding 30m English?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini 3.5 Flash or Granite Embedding 30m English be self-hosted?+
Granite Embedding 30m English is the only model in this pair currently marked as self-hostable. Gemini 3.5 Flash is not marked open weight; Granite Embedding 30m English is open weight.
Can Gemini 3.5 Flash and Granite Embedding 30m English understand images?+
Gemini 3.5 Flash is documented with image input; Granite Embedding 30m English is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.5 Flash or Granite Embedding 30m English?+
Neither has a larger sourced maximum output. Gemini 3.5 Flash is 66K and Granite Embedding 30m English is —.
Do Gemini 3.5 Flash and Granite Embedding 30m English support reasoning and tool use?+
Gemini 3.5 Flash: reasoning, tool calling, and image input. Granite Embedding 30m English: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.5 Flash or Granite Embedding 30m English?+
Gemini 3.5 Flash has 2 sourced provider routes; Granite Embedding 30m English has 1, so Gemini 3.5 Flash has broader tracked availability.
Which offers better value, Gemini 3.5 Flash or Granite Embedding 30m English?+
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.