Seed 2.0 Code vs Granite Embedding 30m English
At a Glance
| Compare | Seed 2.0 CodeByteDance Seed | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Sep 23, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $3.00Openrouter ↗ · 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 Code | granite-embedding-30m-english |
|---|---|---|
| Developer | ByteDance Seed | IBM |
| Family | Seed 2 0 | Granite Embedding 30m English |
| Model | Seed 2.0 Code | granite-embedding-30m-english |
| Version | Seed 2.0 Code | granite-embedding-30m-english |
| Lifecycle | active | active |
| Released | 2026-02-14 | 2025-08-29 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | 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 Code Capabilities
Granite Embedding 30m English Capabilities
Primary Evidence
Sources and Freshness
Questions
Seed 2.0 Code vs Granite Embedding 30m English FAQs
Is Seed 2.0 Code or Granite Embedding 30m English better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Code 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 Code or Granite Embedding 30m English?+
Only Seed 2.0 Code has a directly sourced input price: $0.50 per million tokens. Only Seed 2.0 Code has a directly sourced output price: $3.00 per million tokens.
Which has a larger context window, Seed 2.0 Code or Granite Embedding 30m English?+
Neither model has a larger sourced context window in this comparison. Seed 2.0 Code is — and Granite Embedding 30m English is 1K.
Which performs better in benchmarks, Seed 2.0 Code 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 Code 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 Code is not marked open weight; Granite Embedding 30m English is open weight.
Can Seed 2.0 Code and Granite Embedding 30m English understand images?+
Seed 2.0 Code is not 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 Code or Granite Embedding 30m English?+
Neither has a larger sourced maximum output. Seed 2.0 Code is — and Granite Embedding 30m English is —.
Do Seed 2.0 Code and Granite Embedding 30m English support reasoning and tool use?+
Seed 2.0 Code: reasoning and tool calling. 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 Code or Granite Embedding 30m English?+
Seed 2.0 Code has 1 sourced provider route; Granite Embedding 30m English has 1, a tie.
Which offers better value, Seed 2.0 Code 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.