Granite Embedding 107m Multilingual vs Grok 4.6

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#21 of 4664.1 score · 3/3 sources · complete
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#22 of 44$0.097 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#16 of 3856.7 score · 3/3 sources · complete
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$2.00Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokensNot reported$6.00Xai · Sep 3, 2026
Context windowMaximum documented tokens1K500K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 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

Fieldgranite-embedding-107m-multilingualGrok 4.6
DeveloperIBMxAI
FamilyGranite Embedding 107m MultilingualGrok 4
Modelgranite-embedding-107m-multilingualGrok 4.6
Versiongranite-embedding-107m-multilingualGrok 4.6
Lifecycleactiveactive
Released2024-12-18Unknown
Knowledge cutoffUnknown2026-02-01
Input modalitiesTextText, Image
Output modalitiesEmbeddingText
Context window1K500K
Total parameters107MUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard)Xai (Standard)
Capabilitiesembeddingschat, generation, reasoning, tools

Granite Embedding 107m Multilingual Capabilities

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

Grok 4.6 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDxai/grok-4.6

Primary Evidence

Sources and Freshness

Questions

Granite Embedding 107m Multilingual vs Grok 4.6 FAQs

Is Granite Embedding 107m Multilingual or Grok 4.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Embedding 107m Multilingual and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite Embedding 107m Multilingual or Grok 4.6?+

Only Grok 4.6 has a directly sourced input price: $2.00 per million tokens. Only Grok 4.6 has a directly sourced output price: $6.00 per million tokens.

Which has a larger context window, Granite Embedding 107m Multilingual or Grok 4.6?+

Grok 4.6 has the larger sourced context window. Granite Embedding 107m Multilingual supports 1K and Grok 4.6 supports 500K.

Which performs better in benchmarks, Granite Embedding 107m Multilingual or Grok 4.6?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Granite Embedding 107m Multilingual or Grok 4.6 be self-hosted?+

Granite Embedding 107m Multilingual is the only model in this pair currently marked as self-hostable. Granite Embedding 107m Multilingual is open weight; Grok 4.6 is not marked open weight.

Can Granite Embedding 107m Multilingual and Grok 4.6 understand images?+

Granite Embedding 107m Multilingual is not documented with image input; Grok 4.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite Embedding 107m Multilingual or Grok 4.6?+

Neither has a larger sourced maximum output. Granite Embedding 107m Multilingual is — and Grok 4.6 is —.

Do Granite Embedding 107m Multilingual and Grok 4.6 support reasoning and tool use?+

Granite Embedding 107m Multilingual: none of these features are definitively sourced. Grok 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Granite Embedding 107m Multilingual or Grok 4.6?+

Granite Embedding 107m Multilingual has 1 sourced provider route; Grok 4.6 has 1, a tie.

Which offers better value, Granite Embedding 107m Multilingual or Grok 4.6?+

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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