Granite Embedding 278m Multilingual vs Llama 3.1 8B Instruct

At a Glance

Compare
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.106IBM watsonx.ai · Aug 29, 2026$0.050Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokensNot reported$0.080Openrouter · Sep 23, 2026
Context windowMaximum documented tokens1K131K
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-278m-multilingualLlama-3.1-8B-Instruct
DeveloperIBMMeta
FamilyGranite Embedding 278m MultilingualLlama 3 1 8b Instruct
Modelgranite-embedding-278m-multilingualLlama-3.1-8B-Instruct
Versiongranite-embedding-278m-multilingualLlama-3.1-8B-Instruct
Lifecycleactiveactive
Released2024-12-182024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesEmbeddingText
Context window1K131K
Total parameters278M8B
Active parametersUnknownUnknown
Licenseapache-2.0llama3.1
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessHugging Face (Standard), IBM watsonx.ai (Pay as you go)Hugging Face (Standard), Openrouter (Standard)
Capabilitiesembeddingschat, generation, tools

Granite Embedding 278m Multilingual Capabilities

embeddings
Serving providers2
Canonical IDibm-granite/granite-embedding-278m-multilingual

Llama 3.1 8B Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmeta-llama/Llama-3.1-8B-Instruct

Primary Evidence

Sources and Freshness

Questions

Granite Embedding 278m Multilingual vs Llama 3.1 8B Instruct FAQs

Is Granite Embedding 278m Multilingual or Llama 3.1 8B Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Embedding 278m Multilingual and Llama 3.1 8B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite Embedding 278m Multilingual or Llama 3.1 8B Instruct?+

Granite Embedding 278m Multilingual is $0.106 and Llama 3.1 8B Instruct is $0.050 per million tokens, so Llama 3.1 8B Instruct is cheaper on this metric. Only Llama 3.1 8B Instruct has a directly sourced output price: $0.080 per million tokens.

Which has a larger context window, Granite Embedding 278m Multilingual or Llama 3.1 8B Instruct?+

Llama 3.1 8B Instruct has the larger sourced context window. Granite Embedding 278m Multilingual supports 1K and Llama 3.1 8B Instruct supports 131K.

Which performs better in benchmarks, Granite Embedding 278m Multilingual or Llama 3.1 8B Instruct?+

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

Can Granite Embedding 278m Multilingual or Llama 3.1 8B Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite Embedding 278m Multilingual is open weight; Llama 3.1 8B Instruct is open weight.

Can Granite Embedding 278m Multilingual and Llama 3.1 8B Instruct understand images?+

Granite Embedding 278m Multilingual is not documented with image input; Llama 3.1 8B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite Embedding 278m Multilingual or Llama 3.1 8B Instruct?+

Neither has a larger sourced maximum output. Granite Embedding 278m Multilingual is — and Llama 3.1 8B Instruct is —.

Do Granite Embedding 278m Multilingual and Llama 3.1 8B Instruct support reasoning and tool use?+

Granite Embedding 278m Multilingual: none of these features are definitively sourced. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Granite Embedding 278m Multilingual or Llama 3.1 8B Instruct?+

Granite Embedding 278m Multilingual has 2 sourced provider routes; Llama 3.1 8B Instruct has 2, a tie.

Which offers better value, Granite Embedding 278m Multilingual or Llama 3.1 8B Instruct?+

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.

Send Feedback