Granite Embedding 311m Multilingual r2 vs Llama 3.1 8B

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens33K131K
Model facts checkedAug 28, 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

Fieldgranite-embedding-311m-multilingual-r2Llama-3.1-8B
DeveloperIBMMeta
FamilyGranite Embedding 311m Multilingual R2Llama 3 1 8b
Modelgranite-embedding-311m-multilingual-r2Llama-3.1-8B
Versiongranite-embedding-311m-multilingual-r2Llama-3.1-8B
Lifecycleactiveactive
Released2026-04-292024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesEmbeddingText
Context window33K131K
Total parameters311.7M8B
Active parametersUnknownUnknown
Licenseapache-2.0llama3.1
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessHugging Face (Standard)Hugging Face (Standard)
Capabilitiesembeddingsgeneration

Granite Embedding 311m Multilingual r2 Capabilities

embeddings
Serving providers1
Canonical IDibm-granite/granite-embedding-311m-multilingual-r2

Llama 3.1 8B Capabilities

generation
Serving providers1
Canonical IDmeta-llama/Llama-3.1-8B

Primary Evidence

Sources and Freshness

Questions

Granite Embedding 311m Multilingual r2 vs Llama 3.1 8B FAQs

Is Granite Embedding 311m Multilingual r2 or Llama 3.1 8B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Embedding 311m Multilingual r2 and Llama 3.1 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite Embedding 311m Multilingual r2 or Llama 3.1 8B?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Granite Embedding 311m Multilingual r2 or Llama 3.1 8B?+

Llama 3.1 8B has the larger sourced context window. Granite Embedding 311m Multilingual r2 supports 33K and Llama 3.1 8B supports 131K.

Which performs better in benchmarks, Granite Embedding 311m Multilingual r2 or Llama 3.1 8B?+

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

Can Granite Embedding 311m Multilingual r2 or Llama 3.1 8B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite Embedding 311m Multilingual r2 is open weight; Llama 3.1 8B is open weight.

Can Granite Embedding 311m Multilingual r2 and Llama 3.1 8B understand images?+

Granite Embedding 311m Multilingual r2 is not documented with image input; Llama 3.1 8B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite Embedding 311m Multilingual r2 or Llama 3.1 8B?+

Neither has a larger sourced maximum output. Granite Embedding 311m Multilingual r2 is — and Llama 3.1 8B is —.

Do Granite Embedding 311m Multilingual r2 and Llama 3.1 8B support reasoning and tool use?+

Granite Embedding 311m Multilingual r2: none of these features are definitively sourced. Llama 3.1 8B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Granite Embedding 311m Multilingual r2 or Llama 3.1 8B?+

Granite Embedding 311m Multilingual r2 has 1 sourced provider route; Llama 3.1 8B has 1, a tie.

Which offers better value, Granite Embedding 311m Multilingual r2 or Llama 3.1 8B?+

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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