Seed 2.0 Lite vs Granite Embedding English r2
At a Glance
| Compare | Seed 2.0 LiteByteDance Seed | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Openrouter ↗ · Sep 23, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.00Openrouter ↗ · Sep 23, 2026 | Not reported |
| Context windowMaximum documented tokens | Not reported | 8K |
| 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 Lite | granite-embedding-english-r2 |
|---|---|---|
| Developer | ByteDance Seed | IBM |
| Family | Seed 2 0 | Granite Embedding English R2 |
| Model | Seed 2.0 Lite | granite-embedding-english-r2 |
| Version | Seed 2.0 Lite | granite-embedding-english-r2 |
| Lifecycle | active | active |
| Released | 2026-02-14 | 2025-08-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text |
| Output modalities | Text | Embedding |
| Context window | Unknown | 8K |
| Total parameters | Unknown | 149M |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Unknown |
| Self-hostable | No | Yes |
| Provider access | Openrouter (Standard) | Unknown |
| Capabilities | agents, chat, generation, reasoning, structured_outputs, tools | embeddings |
Seed 2.0 Lite Capabilities
Granite Embedding English r2 Capabilities
Primary Evidence
Sources and Freshness
Questions
Seed 2.0 Lite vs Granite Embedding English r2 FAQs
Is Seed 2.0 Lite or Granite Embedding English r2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Seed 2.0 Lite and Granite Embedding English r2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Seed 2.0 Lite or Granite Embedding English r2?+
Only Seed 2.0 Lite has a directly sourced input price: $0.25 per million tokens. Only Seed 2.0 Lite has a directly sourced output price: $2.00 per million tokens.
Which has a larger context window, Seed 2.0 Lite or Granite Embedding English r2?+
Neither model has a larger sourced context window in this comparison. Seed 2.0 Lite is — and Granite Embedding English r2 is 8K.
Which performs better in benchmarks, Seed 2.0 Lite or Granite Embedding English r2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Seed 2.0 Lite or Granite Embedding English r2 be self-hosted?+
Granite Embedding English r2 is the only model in this pair currently marked as self-hostable. Seed 2.0 Lite is not marked open weight; Granite Embedding English r2 is open weight.
Can Seed 2.0 Lite and Granite Embedding English r2 understand images?+
Seed 2.0 Lite is documented with image input; Granite Embedding English r2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Seed 2.0 Lite or Granite Embedding English r2?+
Neither has a larger sourced maximum output. Seed 2.0 Lite is — and Granite Embedding English r2 is —.
Do Seed 2.0 Lite and Granite Embedding English r2 support reasoning and tool use?+
Seed 2.0 Lite: reasoning, tool calling, and image input. Granite Embedding English r2: none of these features are definitively sourced. Feature support does not establish relative quality.
Which is available from more inference providers, Seed 2.0 Lite or Granite Embedding English r2?+
Seed 2.0 Lite has 1 sourced provider route; Granite Embedding English r2 has 0, so Seed 2.0 Lite has broader tracked availability.
Which offers better value, Seed 2.0 Lite or Granite Embedding English r2?+
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.