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Gemini 3.8 Flash vs Granite Embedding 107m Multilingual

At a Glance

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Gemini 3.8 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#8 of 4682.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 54.7–88.0UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#26 of 44$0.160 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#8 of 3860.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 46.7–63.4UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.75Google AI ↗ · Sep 2, 2026Not reported
Output priceFrom · USD / 1M tokens$3.75Google AI ↗ · Sep 2, 2026Not reported
Context windowMaximum documented tokens1,049K1K
Model facts checkedSep 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 →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGemini 3.8 Flashgranite-embedding-107m-multilingual
DeveloperGoogle DeepMindIBM
FamilyGemini 3Granite Embedding 107m Multilingual
ModelGemini 3.8 Flashgranite-embedding-107m-multilingual
VersionGemini 3.8 Flashgranite-embedding-107m-multilingual
Lifecycleactiveactive
Released2026-09-022024-12-18
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextEmbedding
Context window1,049K1K
Total parametersUnknown107M
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Hugging Face (Standard)
Capabilitieschat, code_execution, computer_use, generation, reasoning, structured_outputs, toolsembeddings

Gemini 3.8 Flash Capabilities

chatcode executioncomputer usegenerationreasoningstructured outputstools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.8-flash

Granite Embedding 107m Multilingual Capabilities

embeddings
Serving providers1
Canonical IDibm-granite/granite-embedding-107m-multilingual

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Primary Evidence

Sources and Freshness

Gemini 3.8 Flash | Gemini APIGoogle DeepMind · observed Sep 2, 2026ibm-granite/granite-embedding-107m-multilingual developer model repositoryIBM · observed Aug 28, 2026

Questions

Gemini 3.8 Flash vs Granite Embedding 107m Multilingual FAQs

Is Gemini 3.8 Flash or Granite Embedding 107m Multilingual better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.8 Flash and Granite Embedding 107m Multilingual, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.8 Flash or Granite Embedding 107m Multilingual?+

Only Gemini 3.8 Flash has a directly sourced input price: $0.75 per million tokens. Only Gemini 3.8 Flash has a directly sourced output price: $3.75 per million tokens.

Which has a larger context window, Gemini 3.8 Flash or Granite Embedding 107m Multilingual?+

Gemini 3.8 Flash has the larger sourced context window. Gemini 3.8 Flash supports 1,049K and Granite Embedding 107m Multilingual supports 1K.

Which performs better in benchmarks, Gemini 3.8 Flash 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 Gemini 3.8 Flash or Granite Embedding 107m Multilingual be self-hosted?+

Granite Embedding 107m Multilingual is the only model in this pair currently marked as self-hostable. Gemini 3.8 Flash is not marked open weight; Granite Embedding 107m Multilingual is open weight.

Can Gemini 3.8 Flash and Granite Embedding 107m Multilingual understand images?+

Gemini 3.8 Flash is 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, Gemini 3.8 Flash or Granite Embedding 107m Multilingual?+

Neither has a larger sourced maximum output. Gemini 3.8 Flash is 66K and Granite Embedding 107m Multilingual is —.

Do Gemini 3.8 Flash and Granite Embedding 107m Multilingual support reasoning and tool use?+

Gemini 3.8 Flash: reasoning, tool calling, and image input. 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, Gemini 3.8 Flash or Granite Embedding 107m Multilingual?+

Gemini 3.8 Flash has 2 sourced provider routes; Granite Embedding 107m Multilingual has 1, so Gemini 3.8 Flash has broader tracked availability.

Which offers better value, Gemini 3.8 Flash 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.

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