Seed 2.0 Mini vs Granite Embedding 30m English
At a Glance
| Compare | Seed 2.0 MiniByteDance Seed | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Openrouter ↗ · Sep 23, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.40Openrouter ↗ · Sep 23, 2026 | Not reported |
| Context windowMaximum documented tokens | Not reported | 1K |
| Model facts checked | Sep 3, 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 →
Available Benchmarks
Side-by-Side Facts
| Field | Seed 2.0 Mini | granite-embedding-30m-english |
|---|---|---|
| Developer | ByteDance Seed | IBM |
| Family | Seed 2 0 | Granite Embedding 30m English |
| Model | Seed 2.0 Mini | granite-embedding-30m-english |
| Version | Seed 2.0 Mini | granite-embedding-30m-english |
| Lifecycle | active | active |
| Released | 2026-02-14 | 2025-08-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text |
| Output modalities | Text | Embedding |
| Context window | Unknown | 1K |
| Total parameters | Unknown | 30.3M |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Openrouter (Standard) | Hugging Face (Standard) |
| Capabilities | agents, chat, generation, reasoning, structured_outputs, tools | embeddings |
Seed 2.0 Mini Capabilities
Granite Embedding 30m English Capabilities
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Primary Evidence
Sources and Freshness
Questions
Seed 2.0 Mini vs Granite Embedding 30m English FAQs
Is Seed 2.0 Mini or Granite Embedding 30m English better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Mini and Granite Embedding 30m English, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 2.0 Mini or Granite Embedding 30m English?+
Only Seed 2.0 Mini has a directly sourced input price: $0.10 per million tokens. Only Seed 2.0 Mini has a directly sourced output price: $0.40 per million tokens.
Which has a larger context window, Seed 2.0 Mini or Granite Embedding 30m English?+
Neither model has a larger sourced context window in this comparison. Seed 2.0 Mini is — and Granite Embedding 30m English is 1K.
Which performs better in benchmarks, Seed 2.0 Mini or Granite Embedding 30m English?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Seed 2.0 Mini or Granite Embedding 30m English be self-hosted?+
Granite Embedding 30m English is the only model in this pair currently marked as self-hostable. Seed 2.0 Mini is not marked open weight; Granite Embedding 30m English is open weight.
Can Seed 2.0 Mini and Granite Embedding 30m English understand images?+
Seed 2.0 Mini is documented with image input; Granite Embedding 30m English is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 2.0 Mini or Granite Embedding 30m English?+
Neither has a larger sourced maximum output. Seed 2.0 Mini is — and Granite Embedding 30m English is —.
Do Seed 2.0 Mini and Granite Embedding 30m English support reasoning and tool use?+
Seed 2.0 Mini: reasoning, tool calling, and image input. Granite Embedding 30m English: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 2.0 Mini or Granite Embedding 30m English?+
Seed 2.0 Mini has 1 sourced provider route; Granite Embedding 30m English has 1, a tie.
Which offers better value, Seed 2.0 Mini or Granite Embedding 30m English?+
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.