LLMMakora API pricing
5 Makora models. Source: https://makora.com/
- Provider type
- Inference host
- Server location (where inference runs)
- US
- Regions
- US
- Company HQ (secondary)
- US (outside EU) · Operated by A2 Labs, Inc., a Delaware corporation d/b/a Makora, Inc. (Terms of Service, Delaware law); mailing address 11 E Loop Rd, Suite #381, New York, NY 10044, USA (Privacy Policy). Checked 2026-10-27. · legal source
- EU data residency
- no
- Residency notes
- Privacy Policy subprocessor list: inference hosting on AWS and TensorWave in the United States (transient processing for zero-data-retention content). EU/UK representatives are still being appointed.
- Residency source
- https://makora.com/privacy-policy
Primary location is where inference servers run (server region, from the cited source; otherwise 'unknown'). Company HQ is secondary public company information. OpenRouter prices are volatile: refreshed twice daily and excluded from cheapest-price answers.
Tap a box to filter by it; tap it again to remove that filter. Filters combine.
5 of 5 models.
| Provider | Model | Input | Output | Cached in | Blended 3:1* ▲ | Context | EU residency |
|---|---|---|---|---|---|---|---|
| Makora Inference host | DeepSeek V4 Flash 0731 | $0.09 | $0.20 | $0.02 | $0.118 | 1M | no |
| Makora Inference host | Gemma 4 26B A4B | $0.10 | $0.34 | $0.03 | $0.16 | 128K | no |
| Makora Inference host | GLM-5.2 (NVFP4) | $0.72 | $2.38 | $0.12 | $1.14 | 1M | no |
| Makora Inference host | GLM-5.2 (FP8) | $0.94 | $2.80 | $0.18 | $1.40 | 1M | no |
| Makora Inference host | Kimi K3 | $2.55 | $12.75 | $0.26 | $5.10 | 256K | no |
Per 1M tokens, standard (non-promo) list prices; short-context / peak tier where tiered. USD unless shown with €, CHF or ₹: those are as published and not converted. ₹ rows also show ≈ USD at the RBI reference rate of ₹93.8579 per USD (2026-11-09); sorting still uses the published ₹ amount. Rows marked “Calculated from credits” have no official per-token price; see how they are calculated. Click a header to sort.
* Blended assumes 3 input tokens for every output token: (3×input + output) / 4. Your real mix will differ, so use the cost calculator with your own token counts for a real estimate.