rerank-2.5 vs Granite Embedding 278M Multilingual
Side-by-side API pricing comparison · Voyage AI vs IBM
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rerank-2.5 is 112% cheaper on blended cost ($0.050 vs $0.106/Mtok)
rerank-2.5
by Voyage AI
Current embeddingInput
$0.050/Mtok
Output
$0.050/Mtok
✓ Cheaper
| Blended avg | $0.050/Mtok |
|---|---|
| Context | — tokens |
| Modality | text |
| Parameters | Proprietary |
| Released | Jun 1, 2025 |
Granite Embedding 278M Multilingual
by IBM
Current embedding Open weightsInput
$0.106/Mtok
Output
$0.106/Mtok
| Blended avg | $0.106/Mtok |
|---|---|
| Context | — tokens |
| Modality | text |
| Parameters | 278M |
| Released | Jun 1, 2025 |
Cost at scale — 1M tokens (50/50 input/output)
| Volume | rerank-2.5 | Granite Embedding 278M Multilingual | Savings |
|---|---|---|---|
| 1M tokens | $0.05 | $0.11 | $0.06 (56.6%) |
| 10M tokens | $0.5 | $1.06 | $0.56 (52.8%) |
| 100M tokens | $5 | $10.6 | $5.6 (52.8%) |
| 1000M tokens | $50 | $106 | $56 (52.8%) |
Summary
rerank-2.5 by Voyage AI costs $0.050/Mtok input and $0.050/Mtok output, with a —-token context window. It supports text input.
Granite Embedding 278M Multilingual by IBM costs $0.106/Mtok input and $0.106/Mtok output, with a —-token context window. It supports text input.
On a blended cost basis, rerank-2.5 is 112% cheaper than Granite Embedding 278M Multilingual.
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.