Claude Sonnet 4.6 vs Granite Embedding English r2

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#24 of 4660.3 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#31 of 44$0.198 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#31 of 3847.3 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$3.00Anthropic · Sep 3, 2026Not reported
Output priceFrom · USD / 1M tokens$15.00Anthropic · Sep 3, 2026Not reported
Context windowMaximum documented tokens1,000K8K
Model facts checkedSep 3, 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

FieldClaude Sonnet 4.6granite-embedding-english-r2
DeveloperAnthropicIBM
FamilyClaude 4Granite Embedding English R2
ModelClaude Sonnet 4.6granite-embedding-english-r2
VersionClaude Sonnet 4.6granite-embedding-english-r2
Lifecycleactiveactive
Released2026-02-172025-08-15
Knowledge cutoff2025-08-01Unknown
Input modalitiesText, ImageText
Output modalitiesTextEmbedding
Context window1,000K8K
Total parametersUnknown149M
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessAnthropic (Standard), Deepinfra (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, toolsembeddings

Claude Sonnet 4.6 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDanthropic/claude-sonnet-4-6

Granite Embedding English r2 Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 4.6 vs Granite Embedding English r2 FAQs

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

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.6 and Granite Embedding English r2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 4.6 or Granite Embedding English r2?+

Only Claude Sonnet 4.6 has a directly sourced input price: $3.00 per million tokens. Only Claude Sonnet 4.6 has a directly sourced output price: $15.00 per million tokens.

Which has a larger context window, Claude Sonnet 4.6 or Granite Embedding English r2?+

Claude Sonnet 4.6 has the larger sourced context window. Claude Sonnet 4.6 supports 1,000K and Granite Embedding English r2 supports 8K.

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

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

Can Claude Sonnet 4.6 and Granite Embedding English r2 understand images?+

Claude Sonnet 4.6 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, Claude Sonnet 4.6 or Granite Embedding English r2?+

Neither has a larger sourced maximum output. Claude Sonnet 4.6 is 128K and Granite Embedding English r2 is —.

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

Claude Sonnet 4.6: 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, Claude Sonnet 4.6 or Granite Embedding English r2?+

Claude Sonnet 4.6 has 2 sourced provider routes; Granite Embedding English r2 has 0, so Claude Sonnet 4.6 has broader tracked availability.

Which offers better value, Claude Sonnet 4.6 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.

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