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ModelRetiredfamily · Aya

c4ai-aya-vision-8b

Coheredocs.cohere.com/docs/models

Aya Vision is a state-of-the-art multimodal model excelling at a variety of critical benchmarks for language, text, and image capabilities. This 8 billion parameter variant is focused on low latency and best-in-class performance.

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Updated 3 h ago · first seen 11 Sept 2026

model_01M294H9BNM8P1Y8VNVA9E7V5X

Context
16K tokens
T1 · 3 h ago

As of

Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.

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11 claims · 11 properties

Familyfamily1

Claim history for Family
ValueValid from → toStatusSourceConfidenceExtractor
AyacurrentcurrentCohere — docs & blogT1highdeterministic

Statusstatus1

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ValueValid from → toStatusSourceConfidenceExtractor
retiredcurrentcurrentCohere — docs & blogT1highdeterministic

Context windowcontext_length1

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16K tokenscurrentcurrentCohere — docs & blogT1highdeterministic

Max outputmax_output_tokens1

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4K tokenscurrentcurrentCohere — docs & blogT1highdeterministic

Modalitiesmodalities1

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text, imagecurrentcurrentCohere — docs & blogT1highdeterministic

Input modalitiesmodalities_input1

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ValueValid from → toStatusSourceConfidenceExtractor
text, imagecurrentcurrentCohere — docs & blogT1highdeterministic

API model idapi_model_id1

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ValueValid from → toStatusSourceConfidenceExtractor
c4ai-aya-vision-8bcurrentcurrentCohere — docs & blogT1highdeterministic

Official pageofficial_url1

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https://docs.cohere.com/docs/modelscurrentcurrentCohere — docs & blogT1highdeterministic

Descriptiondescription1

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Aya Vision is a state-of-the-art multimodal model excelling at a variety of critical benchmarks for language, text, and image capabilities. This 8 billion parameter variant is focused on low latency and best-in-class performance.currentcurrentCohere — docs & blogT1highdeterministic

Endpointsendpoints1

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ValueValid from → toStatusSourceConfidenceExtractor
ChatcurrentcurrentCohere — docs & blogT1highdeterministic

Visionvision1

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ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentCohere — docs & blogT1highdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →