BAAI · 567M parameters · 8.2K context · commercial OK
Local (your GPU) $0 · ~3 GB VRAM | Rent a GPU from $0.06/hr | Your API key $0.10/1M est. |
Best next step
Already have 3 GB of VRAM? Run Q8_0 locally for $0 compute. Check what your hardware can run →
No matching GPU? For the same representative session, the chosen rented GPU is about $0.02 at $0.06/hr. Open Vast.ai at its current rate →
Decision basis: 4,000 input + 2,000 output tokens, rate table dated 2026-08-24. Size-based API estimates never beat a provider-sourced rate here; referral status never changes the winner.
Novita AI offers model APIs and GPU instances. We do not include its prices in Spanvero's ranking yet, so compare Novita's current price and fit yourself.
Check Novita AI — referral link. You use your own account and pay Novita's normal price; Novita may pay Spanvero a commission.
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Multilingual embedding model — dense, sparse, and multi-vector retrieval up to 8K tokens.
At $0.10/1M tokens, the cheapest API for BGE-M3 stays cheaper than a used RTX 3090 at any daily volume — electricity alone costs more per token than the API does.
Local is never $0 — every figure here includes electricity and hardware amortization. Speeds come from published 7-8B Q4 benchmarks (your model, quant, and context will differ); break-even volumes are rounded to 2 significant figures.
| Parameters | 567M |
|---|---|
| Context window | 8.2K tokens |
| Recommended quant | Q8_0 |
| VRAM requirement | ~3 GB (at Q8_0, 8.2K context) |
| Download size | ~1.1 GB |
| License | Commercial use OK |
Open the free LLM cost calculator → to model your workload, monthly cost, and break-even assumptions.
Three paths: $0 marginal compute on already-owned hardware if the calculated 3 GB VRAM baseline at Q8_0 fits your exact build and runner (electricity and allocated hardware excluded); a rented GPU from $0.06/hr (NVIDIA RTX 3060 12GB at the direct Vast.ai price); or about $0.10 per 1M blended tokens via your own API key (a rough estimate for this size). Spanvero adds $0 markup on every path.
Spanvero calculates a baseline of about 3 GB of VRAM/unified memory for BGE-M3 at Q8_0 with 8.2K context. Actual fit depends on the exact build, runner, context, and overhead. After download it can run offline; marginal compute can be $0 on hardware you already own, excluding electricity and allocated hardware cost.
Spanvero calculates about 3 GB of VRAM/unified memory for BGE-M3 at Q8_0; actual fit depends on the exact build, runner, context, and overhead. The smallest tracked consumer preset above that baseline is a used NVIDIA RTX 3070 8GB, but verify your configuration before downloading.
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Spanvero · What's new · Prices as of 2026-08-24. We're an honest advisor — $0 markup, your own accounts, we never resell compute. © 2026 Cynosure LLC.
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