Granite Embedding 30m English vs GPT-6 Astra

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Embedding 30m English and GPT-6 Astra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only GPT-6 Astra has a directly sourced input price: $10.00 per million tokens. Only GPT-6 Astra has a directly sourced output price: $50.00 per million tokens.

GPT-6 Astra has the larger sourced context window. Granite Embedding 30m English supports 1K and GPT-6 Astra supports 1,050K.

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

Granite Embedding 30m English is the only model in this pair currently marked as self-hostable. Granite Embedding 30m English is open weight; GPT-6 Astra is not marked open weight.

Granite Embedding 30m English is not documented with image input; GPT-6 Astra is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Granite Embedding 30m English is — and GPT-6 Astra is 128K.

Granite Embedding 30m English: none of these features are definitively sourced. GPT-6 Astra: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Granite Embedding 30m English has 1 sourced provider route; GPT-6 Astra has 2, so GPT-6 Astra has broader tracked availability.

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.