Granite Embedding 278m Multilingual vs Jev

At a Glance

Compare
JevTypeSafe
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.106IBM watsonx.ai · Aug 29, 2026$0.042TypeSafe · Sep 17, 2026
Output priceFrom · USD / 1M tokensNot reported$0.000TypeSafe · Sep 17, 2026
Context windowMaximum documented tokens1K64K
Model facts checkedAug 28, 2026View model evidence →Sep 17, 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-multilingualJev
DeveloperIBMTypeSafe
FamilyGranite Embedding 278m MultilingualJev
Modelgranite-embedding-278m-multilingualJev
Versiongranite-embedding-278m-multilingualJev
Lifecycleactiveactive
Released2024-12-182026-09-15
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Model-specific input
Output modalitiesEmbeddingModel-specific input
Context window1K64K
Total parameters278MUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), IBM watsonx.ai (Pay as you go)TypeSafe (Standard)
Capabilitiesembeddingscalibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions
Maximum Choice cardinalityUnknown255 options
Default request rate limitUnknown1200 requests per minute
State plus longest question limitUnknown32000 tokens
Combined state and questions limitUnknown64000 tokens
Default token rate limitUnknown250000 tokens per second

Granite Embedding 278m Multilingual Capabilities

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

Jev Capabilities

calibrated-confidenceparallel-evaluationstructured outputstyped-decisions
Serving providers1
Canonical IDtypesafe/jev

Primary Evidence

Sources and Freshness

Questions

Granite Embedding 278m Multilingual vs Jev FAQs

Is Granite Embedding 278m Multilingual or Jev better for coding?+

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

Which is cheaper, Granite Embedding 278m Multilingual or Jev?+

Granite Embedding 278m Multilingual is $0.106 and Jev is $0.042 per million tokens, so Jev is cheaper on this metric. Only Jev has a directly sourced output price: $0.000 per million tokens.

Which has a larger context window, Granite Embedding 278m Multilingual or Jev?+

Jev has the larger sourced context window. Granite Embedding 278m Multilingual supports 1K and Jev supports 64K.

Which performs better in benchmarks, Granite Embedding 278m Multilingual or Jev?+

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 Jev be self-hosted?+

Granite Embedding 278m Multilingual is the only model in this pair currently marked as self-hostable. Granite Embedding 278m Multilingual is open weight; Jev is not marked open weight.

Can Granite Embedding 278m Multilingual and Jev understand images?+

Granite Embedding 278m Multilingual is not documented with image input; Jev is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite Embedding 278m Multilingual or Jev?+

Neither has a larger sourced maximum output. Granite Embedding 278m Multilingual is — and Jev is —.

Do Granite Embedding 278m Multilingual and Jev support reasoning and tool use?+

Granite Embedding 278m Multilingual: none of these features are definitively sourced. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Granite Embedding 278m Multilingual or Jev?+

Granite Embedding 278m Multilingual has 2 sourced provider routes; Jev has 1, so Granite Embedding 278m Multilingual has broader tracked availability.

Which offers better value, Granite Embedding 278m Multilingual or Jev?+

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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