Granite Embedding English r2 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 tokens8K500K
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-english-r2Grok 4.6
DeveloperIBMxAI
FamilyGranite Embedding English R2Grok 4
Modelgranite-embedding-english-r2Grok 4.6
Versiongranite-embedding-english-r2Grok 4.6
Lifecycleactiveactive
Released2025-08-15Unknown
Knowledge cutoffUnknown2026-02-01
Input modalitiesTextText, Image
Output modalitiesEmbeddingText
Context window8K500K
Total parameters149MUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownXai (Standard)
Capabilitiesembeddingschat, generation, reasoning, tools

Granite Embedding English r2 Capabilities

embeddings
Serving providers0
Canonical IDibm-granite/granite-embedding-english-r2

Grok 4.6 Capabilities

chatgenerationreasoningtools
Serving providers1
Canonical IDxai/grok-4.6

Primary Evidence

Sources and Freshness

Questions

Granite Embedding English r2 vs Grok 4.6 FAQs

Is Granite Embedding English r2 or Grok 4.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Embedding English r2 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 English r2 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 English r2 or Grok 4.6?+

Grok 4.6 has the larger sourced context window. Granite Embedding English r2 supports 8K and Grok 4.6 supports 500K.

Which performs better in benchmarks, Granite Embedding English r2 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 English r2 or Grok 4.6 be self-hosted?+

Granite Embedding English r2 is the only model in this pair currently marked as self-hostable. Granite Embedding English r2 is open weight; Grok 4.6 is not marked open weight.

Can Granite Embedding English r2 and Grok 4.6 understand images?+

Granite Embedding English r2 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 English r2 or Grok 4.6?+

Neither has a larger sourced maximum output. Granite Embedding English r2 is — and Grok 4.6 is —.

Do Granite Embedding English r2 and Grok 4.6 support reasoning and tool use?+

Granite Embedding English r2: 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 English r2 or Grok 4.6?+

Granite Embedding English r2 has 0 sourced provider routes; Grok 4.6 has 1, so Grok 4.6 has broader tracked availability.

Which offers better value, Granite Embedding English r2 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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